JEE Mathematics/ Lakshmikanta Satapathy/ Questions and answers part 7 involving probability distribution and determination of mean and variance of a random variable
JEE Mathematics/ Lakshmikanta Satapathy/ Theory of probability part 10/ Bernoulli trials and Binomial distribution of probability of Bernoulli trials and probability function with example
JEE Mathematics/ Lakshmikanta Satapathy/ Theory of Probability part 9 which explains Random variables , its probability distribution, Mean of a random variable and Variance of a random variable
The document discusses the Remainder Theorem and using it to find the value of a polynomial P(x) at a given point c. It provides examples of using synthetic division and the Factor Theorem to factor polynomials and determine if (x-c) is a factor based on whether c is a root. Exercises provide additional problems applying these concepts to find remainders, factor polynomials, and solve for constants.
3.4 looking for real roots of real polynomials tmath260
1. The document discusses finding real roots of real polynomials. It provides examples of listing possible rational roots, factoring polynomials completely into real factors, and applying Descartes' Rule of Signs and the Theorem on Bounds to determine properties of roots.
2. Exercises are provided to practice listing rational roots, finding all real roots, and factoring polynomials completely based on their rational and irrational roots. Answers are given for some of the odd-numbered problems.
3. The document is a reference for techniques to analyze properties of roots of polynomials and factor polynomials into their real linear and quadratic factors.
The document discusses the Remainder Theorem and Factor Theorem. The Remainder Theorem states that if a polynomial p(x) is divided by a factor x - a, the remainder will be zero if x - a is a factor of p(x). The Factor Theorem is the reverse - if dividing a polynomial by x = a gives a zero remainder, then x - a is a factor of the polynomial. Both theorems relate the remainder of polynomial division to the factors of the polynomial.
Remainder theorem and factorization of polynomialssusoigto
The remainder theorem states that the remainder of dividing a polynomial P(x) by (x-a) is equal to P(a). Some examples of using the remainder theorem to find the remainder of polynomial divisions are worked out. The document also discusses that a number a is a root of a polynomial P(x) if P(a) equals 0. If a is a root, then (x-a) is a factor of the polynomial P(x). Examples of finding roots and corresponding factors of polynomials are provided.
The remainder theorem states that when a polynomial f(x) is divided by a linear expression (x - a), the remainder is f(a).
Some key points:
- If x - a is a factor of f(x), then f(a) = 0 according to the factor theorem
- Examples show using the remainder theorem to find the remainder when an expression is divided
- The factor theorem states that x - a is a factor of f(x) if and only if f(a) = 0
- Examples demonstrate determining if an expression is a factor and finding all factors
Factor Theorem and Remainder Theorem. Mathematics10 Project under Mrs. Marissa De Ocampo. Prepared by Danielle Diva, Ronalie Mejos, Rafael Vallejos and Mark Lenon Dacir of 10- Einstein. CNSTHS.
The document defines key terms related to arithmetic sequences and series including: arithmetic sequence, arithmetic means, series, arithmetic series, partial sum, and sigma notation. It then provides examples of finding specific terms in arithmetic sequences, writing equations to represent sequences, finding missing terms using arithmetic means, and calculating sums of arithmetic series using the partial sum formula.
This document discusses synthetic division and the remainder and factor theorems. It provides examples of using synthetic division to evaluate functions, determine the number of terms in a sequence, and factor polynomials. The key steps of synthetic division are shown, along with checking the remainder and determining common factors. Three examples are worked through to demonstrate these concepts.
The document discusses solving systems of linear equations. It provides examples of solving systems graphically and algebraically. Example 1 shows solving the system x + y = 3 and -2x + y = -6 by graphing the lines defined by each equation on the same xy-plane and finding their point of intersection, which is the solution to the system.
This document defines key terms related to geometric sequences and series. It defines a geometric sequence as a sequence where each term is found by multiplying the previous term by a constant ratio. A geometric series is the sum of terms in a geometric sequence. The document provides examples of finding individual terms, writing equations for sequences, finding geometric means, and calculating sums of geometric series.
This document discusses the remainder theorem for polynomials. The remainder theorem states that if a polynomial P(x) is divided by a linear divisor (x - a), the remainder is equal to P(a). The document provides examples of using the remainder theorem to find the remainder when dividing polynomials by linear expressions like (x + 1) or (x - a). It also discusses using the theorem to solve for unknown values in polynomials.
The document discusses the factor theorem and how to determine if a polynomial is a factor of another polynomial. It provides examples of using the factor theorem to show that (x + 1) is a factor of 2x^3 + 5x^2 - 3 and that (x - 2) is a factor of x^4 + x^3 - x^2 - x - 18. It also gives an example of finding a polynomial function given its zeros as -2, 1, -1. The document provides exercises for using the factor theorem to determine unknown values in polynomials.
This document discusses function derivatives and their calculation in several sections:
1. It defines the derivative of a function f(x) at a point x0 and provides formulas to calculate it.
2. It presents rules for finding derivatives of basic functions like polynomials, rational functions, and roots.
3. It introduces theorems for calculating derivatives of sums, products, and quotients of functions, as well as composite functions where one function is applied to another.
Examples are provided to demonstrate applying the rules and theorems to calculate derivatives.
This document discusses the remainder theorem for polynomials. The remainder theorem states that if a polynomial P(x) is divided by a linear divisor (x - a), the remainder is equal to P(a). The document provides examples of using the remainder theorem to find the remainder when dividing polynomials by linear expressions like (x + 1) or (x - a). It explains that the remainder theorem provides a simpler method than long division for calculating the remainder.
The document discusses using the factor theorem to find factors of polynomials and solve cubic equations. The factor theorem states that if a polynomial P(x) is divisible by (x - a), then P(a) must be equal to 0. It can be used to test if a linear expression is a factor and to find the factors of a polynomial equation. Cubic equations can be solved by applying the factor theorem to find a linear factor, then reducing the cubic to a quadratic equation. Examples are provided to demonstrate solving cubic equations using this process.
1. Introduction
• Preliminaries
• Some Useful Definitions
• Types of fuzzy sets
• Degree of Fuzzy Sets
• Operators of Fuzzy Sets
• Conditions & Limitations
• Multiplication
• Summation
• Operators of Theory Sets
• Characteristics of S & T
• Some definitions for T & S
• Unity and Community Defs.
• Mean Operators
• Fuzzy AND & OR
• Combinations of Fuzzy AND & OR
2. Fuzzy Measurement & Measurement of Fuzzy Sets
• Fuzzy Measurement
• Dr. ASGARI Zadeh Possibility Definition
• SUGENO Definition
• Possibility Definition
• Graph of S Function
• Measurement of Fuzzy Sets
• Entropy of Fuzzy Sets (De Luca & Termini)
• YAGER Definition for Ã
3. Propagation principle
• Propagation principle & Applications
• Propagation principle and Second Types of Fuzzy Sets
• Fuzzy Numbers & Algebraic Operations
• Fuzzy Numbers Intervals
• L-R Interval Function (Asymmetric)
• L-R Interval Function
• L-R Interval Function Operations
4. Functions & Fuzzy Analyzing
• Functions & Fuzzy Analyzing
• Functions & Fuzzy Analyzing
• Fuzzy functions Extremes
• Integral of Fuzzy Functions
• Integral of Type 2 fuzzy function with definite interval
• Differentiation of Definite functions With Fuzzy Domains & Ranges
• Integral of fuzzy function with definite interval
• Properties of fuzzy Integral
• Integral of Definite functions with fuzzy interval
5. Relations & Fuzzy Graphs
• Fuzzy Relations
• Fuzzy Graphs in Fuzzy Sets.
• Fuzzy Images in 2-D Graphs
• Fuzzy Images in n-D Graphs
• Operations in Fuzzy Graphs
• Fuzzy Forests
This document outlines an introduction to advanced R concepts taught in a Data Science for Actuaries course in March-June 2015. It covers topics like classes, matrices, numbers, and memory management in R. References for further reading on R and data mining are also provided.
This document discusses polynomials and partial fractions. It covers arithmetic operations on polynomials, identities involving polynomials, and dividing polynomials. Specifically, it teaches how to:
1) Perform addition, subtraction, and multiplication on polynomial expressions.
2) Identify polynomial equations and identities based on their properties.
3) Use the long division process to divide one polynomial by another.
The document discusses solving systems of inequalities by graphing. It provides examples of drawing the graphs of two or more inequalities on the same coordinate plane and identifying the region that satisfies all inequalities. This region represents the solution to the system of inequalities. The examples illustrate solving systems with lines, finding the vertices of a triangle defined by inequalities, and representing a real-world situation with a system of inequalities.
This document provides an example of solving a system of 3 linear equations in 3 variables. It shows setting the equations equal to each other to eliminate variables, resulting in a single variable that can be solved for. Plugging this solution back into the original equations finds the solutions for the other 2 variables, providing the ordered triple solution. The example solves for x = -2, y = 6, z = 4.
The document provides an introduction to fundamental probability concepts including operations, outcomes, sample spaces, events, permutations, combinations, and the binomial distribution.
It defines key terms like experiment, trial, outcome, event, and gives examples to illustrate concepts. Formulas for permutations, combinations, and the binomial distribution are presented along with example problems and solutions working through calculating probabilities. Different methods for finding probabilities of events are demonstrated, including using factorials and the binomial distribution formula.
The document discusses rational expressions, which are expressions of the form P/Q where P and Q are polynomials. Polynomials are expressions involving powers of variables with numerical coefficients. Rational expressions include polynomials as a special case where P is viewed as P/1. They can be written in expanded or factored form. The factored form is useful for solving equations, determining the domain of valid inputs, evaluating expressions, and determining the sign of outputs. The domain excludes values that would make the denominator equal to 0. Solutions to equations involving rational expressions are the zeros of the numerator polynomial P.
DC-ACM - Hybrid Cloud Pathways for Games and the IoTCynthia Calongne
Hosts Dr. Andrew Stricker and Dr. Cynthia Calongne presented the webinar Hybrid Cloud Pathways Blending Games, Immersive Micro-Simulations and the IoT for the DC-ACM Chapter on March 7, 2016 at 6:30 PM Eastern.
This document introduces open educational resources (OER) and open pedagogy. It discusses how OER can help lower the costs of textbooks for students, which have increased dramatically in recent years. However, the document notes that cost savings is not the only benefit of OER - it emphasizes that OER can improve the learning process by allowing for customization and collaboration. It advocates for rethinking traditional course elements like required texts, learning outcomes, assignments, and grading using open pedagogical approaches that emphasize learner-centered inquiry and contribution over content consumption. The document encourages students to get involved in helping design course elements and developing open portfolios of their work.
21st November 2013, PEB Steel Buildings Co. Ltd organized a factory tour with the objective of inviting students, awarded a scholarship by the PEB Foundation during recent PEB’s university tours, to a guided on-site visit.
http://www.pebsteel.com
This wonderful tour was warmly welcomed with great interest and enthusiasm from students as well as alumnus. During the tour, they were introduced to a closed manufacturing process of a pre-engineered steel building. It was also the ideal opportunity for them to keep update with not only the latest applied knowledge and theory but also view the cutting-edge technology currently employed as well. They were very satisfied and hope that in future PEB Steel will organize more and more of these useful events to inform them of the procedures and theory behind manufacturing pre-engineered steel buildings in Vietnam.
Blue brain " -The name of the world's first virtual brain. That means a machine that can function as human brain. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man .So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feelings and memories of that man that can be used for the development of the human society.
Sir Thomas Hardmeat caught fish on a railway line near Boycombe Bay in Devon, where trains traveled along the London to West South Devon Railway route, passing through thousands of stations including the small seaside town of Lycombe near Berrynarbor. Uncle Tom Cobbler, the proprietor of Widecombe Fair, gave a lecture at a pub called "The Pack of Lies" in the village of Martin Combe.
Learn, Teach, Help, Enjoy! Enhancing Your Ed Tech Superpowers 2016Martin Cisneros
We'll examine the emerging technology leader's role (site, district, etc) and how, through technology planning, tools and resources, they can be a more effective Technology Leader.
The document defines key terms related to arithmetic sequences and series including: arithmetic sequence, arithmetic means, series, arithmetic series, partial sum, and sigma notation. It then provides examples of finding specific terms in arithmetic sequences, writing equations to represent sequences, finding missing terms using arithmetic means, and calculating sums of arithmetic series using the partial sum formula.
This document discusses synthetic division and the remainder and factor theorems. It provides examples of using synthetic division to evaluate functions, determine the number of terms in a sequence, and factor polynomials. The key steps of synthetic division are shown, along with checking the remainder and determining common factors. Three examples are worked through to demonstrate these concepts.
The document discusses solving systems of linear equations. It provides examples of solving systems graphically and algebraically. Example 1 shows solving the system x + y = 3 and -2x + y = -6 by graphing the lines defined by each equation on the same xy-plane and finding their point of intersection, which is the solution to the system.
This document defines key terms related to geometric sequences and series. It defines a geometric sequence as a sequence where each term is found by multiplying the previous term by a constant ratio. A geometric series is the sum of terms in a geometric sequence. The document provides examples of finding individual terms, writing equations for sequences, finding geometric means, and calculating sums of geometric series.
This document discusses the remainder theorem for polynomials. The remainder theorem states that if a polynomial P(x) is divided by a linear divisor (x - a), the remainder is equal to P(a). The document provides examples of using the remainder theorem to find the remainder when dividing polynomials by linear expressions like (x + 1) or (x - a). It also discusses using the theorem to solve for unknown values in polynomials.
The document discusses the factor theorem and how to determine if a polynomial is a factor of another polynomial. It provides examples of using the factor theorem to show that (x + 1) is a factor of 2x^3 + 5x^2 - 3 and that (x - 2) is a factor of x^4 + x^3 - x^2 - x - 18. It also gives an example of finding a polynomial function given its zeros as -2, 1, -1. The document provides exercises for using the factor theorem to determine unknown values in polynomials.
This document discusses function derivatives and their calculation in several sections:
1. It defines the derivative of a function f(x) at a point x0 and provides formulas to calculate it.
2. It presents rules for finding derivatives of basic functions like polynomials, rational functions, and roots.
3. It introduces theorems for calculating derivatives of sums, products, and quotients of functions, as well as composite functions where one function is applied to another.
Examples are provided to demonstrate applying the rules and theorems to calculate derivatives.
This document discusses the remainder theorem for polynomials. The remainder theorem states that if a polynomial P(x) is divided by a linear divisor (x - a), the remainder is equal to P(a). The document provides examples of using the remainder theorem to find the remainder when dividing polynomials by linear expressions like (x + 1) or (x - a). It explains that the remainder theorem provides a simpler method than long division for calculating the remainder.
The document discusses using the factor theorem to find factors of polynomials and solve cubic equations. The factor theorem states that if a polynomial P(x) is divisible by (x - a), then P(a) must be equal to 0. It can be used to test if a linear expression is a factor and to find the factors of a polynomial equation. Cubic equations can be solved by applying the factor theorem to find a linear factor, then reducing the cubic to a quadratic equation. Examples are provided to demonstrate solving cubic equations using this process.
1. Introduction
• Preliminaries
• Some Useful Definitions
• Types of fuzzy sets
• Degree of Fuzzy Sets
• Operators of Fuzzy Sets
• Conditions & Limitations
• Multiplication
• Summation
• Operators of Theory Sets
• Characteristics of S & T
• Some definitions for T & S
• Unity and Community Defs.
• Mean Operators
• Fuzzy AND & OR
• Combinations of Fuzzy AND & OR
2. Fuzzy Measurement & Measurement of Fuzzy Sets
• Fuzzy Measurement
• Dr. ASGARI Zadeh Possibility Definition
• SUGENO Definition
• Possibility Definition
• Graph of S Function
• Measurement of Fuzzy Sets
• Entropy of Fuzzy Sets (De Luca & Termini)
• YAGER Definition for Ã
3. Propagation principle
• Propagation principle & Applications
• Propagation principle and Second Types of Fuzzy Sets
• Fuzzy Numbers & Algebraic Operations
• Fuzzy Numbers Intervals
• L-R Interval Function (Asymmetric)
• L-R Interval Function
• L-R Interval Function Operations
4. Functions & Fuzzy Analyzing
• Functions & Fuzzy Analyzing
• Functions & Fuzzy Analyzing
• Fuzzy functions Extremes
• Integral of Fuzzy Functions
• Integral of Type 2 fuzzy function with definite interval
• Differentiation of Definite functions With Fuzzy Domains & Ranges
• Integral of fuzzy function with definite interval
• Properties of fuzzy Integral
• Integral of Definite functions with fuzzy interval
5. Relations & Fuzzy Graphs
• Fuzzy Relations
• Fuzzy Graphs in Fuzzy Sets.
• Fuzzy Images in 2-D Graphs
• Fuzzy Images in n-D Graphs
• Operations in Fuzzy Graphs
• Fuzzy Forests
This document outlines an introduction to advanced R concepts taught in a Data Science for Actuaries course in March-June 2015. It covers topics like classes, matrices, numbers, and memory management in R. References for further reading on R and data mining are also provided.
This document discusses polynomials and partial fractions. It covers arithmetic operations on polynomials, identities involving polynomials, and dividing polynomials. Specifically, it teaches how to:
1) Perform addition, subtraction, and multiplication on polynomial expressions.
2) Identify polynomial equations and identities based on their properties.
3) Use the long division process to divide one polynomial by another.
The document discusses solving systems of inequalities by graphing. It provides examples of drawing the graphs of two or more inequalities on the same coordinate plane and identifying the region that satisfies all inequalities. This region represents the solution to the system of inequalities. The examples illustrate solving systems with lines, finding the vertices of a triangle defined by inequalities, and representing a real-world situation with a system of inequalities.
This document provides an example of solving a system of 3 linear equations in 3 variables. It shows setting the equations equal to each other to eliminate variables, resulting in a single variable that can be solved for. Plugging this solution back into the original equations finds the solutions for the other 2 variables, providing the ordered triple solution. The example solves for x = -2, y = 6, z = 4.
The document provides an introduction to fundamental probability concepts including operations, outcomes, sample spaces, events, permutations, combinations, and the binomial distribution.
It defines key terms like experiment, trial, outcome, event, and gives examples to illustrate concepts. Formulas for permutations, combinations, and the binomial distribution are presented along with example problems and solutions working through calculating probabilities. Different methods for finding probabilities of events are demonstrated, including using factorials and the binomial distribution formula.
The document discusses rational expressions, which are expressions of the form P/Q where P and Q are polynomials. Polynomials are expressions involving powers of variables with numerical coefficients. Rational expressions include polynomials as a special case where P is viewed as P/1. They can be written in expanded or factored form. The factored form is useful for solving equations, determining the domain of valid inputs, evaluating expressions, and determining the sign of outputs. The domain excludes values that would make the denominator equal to 0. Solutions to equations involving rational expressions are the zeros of the numerator polynomial P.
DC-ACM - Hybrid Cloud Pathways for Games and the IoTCynthia Calongne
Hosts Dr. Andrew Stricker and Dr. Cynthia Calongne presented the webinar Hybrid Cloud Pathways Blending Games, Immersive Micro-Simulations and the IoT for the DC-ACM Chapter on March 7, 2016 at 6:30 PM Eastern.
This document introduces open educational resources (OER) and open pedagogy. It discusses how OER can help lower the costs of textbooks for students, which have increased dramatically in recent years. However, the document notes that cost savings is not the only benefit of OER - it emphasizes that OER can improve the learning process by allowing for customization and collaboration. It advocates for rethinking traditional course elements like required texts, learning outcomes, assignments, and grading using open pedagogical approaches that emphasize learner-centered inquiry and contribution over content consumption. The document encourages students to get involved in helping design course elements and developing open portfolios of their work.
21st November 2013, PEB Steel Buildings Co. Ltd organized a factory tour with the objective of inviting students, awarded a scholarship by the PEB Foundation during recent PEB’s university tours, to a guided on-site visit.
http://www.pebsteel.com
This wonderful tour was warmly welcomed with great interest and enthusiasm from students as well as alumnus. During the tour, they were introduced to a closed manufacturing process of a pre-engineered steel building. It was also the ideal opportunity for them to keep update with not only the latest applied knowledge and theory but also view the cutting-edge technology currently employed as well. They were very satisfied and hope that in future PEB Steel will organize more and more of these useful events to inform them of the procedures and theory behind manufacturing pre-engineered steel buildings in Vietnam.
Blue brain " -The name of the world's first virtual brain. That means a machine that can function as human brain. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man .So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feelings and memories of that man that can be used for the development of the human society.
Sir Thomas Hardmeat caught fish on a railway line near Boycombe Bay in Devon, where trains traveled along the London to West South Devon Railway route, passing through thousands of stations including the small seaside town of Lycombe near Berrynarbor. Uncle Tom Cobbler, the proprietor of Widecombe Fair, gave a lecture at a pub called "The Pack of Lies" in the village of Martin Combe.
Learn, Teach, Help, Enjoy! Enhancing Your Ed Tech Superpowers 2016Martin Cisneros
We'll examine the emerging technology leader's role (site, district, etc) and how, through technology planning, tools and resources, they can be a more effective Technology Leader.
#GetsmART Lessons from Artists #ipadpalooza16Amy Burvall
The document provides lessons and advice from great artists throughout history. It encourages being curious, collaborative, and pushing boundaries. Key lessons include leveraging the tools and techniques of your time, getting feedback from others, continually learning and reinventing yourself, and using your skills to leave a positive legacy. The overall message is that artists can inspire new ways of thinking by staying curious, taking risks, and making their work publicly visible.
The document discusses the use of student data to understand student departure from university. It questions whether collecting more data will truly solve the problem, noting that data is framed and context matters. The document outlines some of the data universities already have on students, who has access to it, and whether students can opt out. It argues for an ethics of care approach where students are involved, their privacy is respected, and responses are tailored based on understanding complex interactions rather than just correlations in the data. The role of algorithms is also questioned.
Dan Faggella - TEDx Slides 2015 - Artificial intelligence and ConsciousnessDaniel Faggella
URL of the original TEDx Talk: https://www.youtube.com/watch?v=PjiZbMhqqTM
Notes from my 2015 TEDx presentation, titled: "We Should Wake Up Before The Machines Do," on the topic of artificial intelligence and consciousness.
Speaker: Daniel Faggella
Location: Southern New Hampshire University
The team analyzed three options for Husky Air's new database system: maintaining the status quo, purchasing a software package, or building a custom system. They recommended building a custom system to give Husky Air the best benefits. A custom system would contain only necessary features, reducing training time and allowing more accurate and efficient work. While having a higher upfront cost than maintaining the current system, a custom system was estimated to have noticeably lower long-term costs than the other options. The team concluded the benefits of a custom system outweighed the costs in helping Husky Air meet patient and volunteer needs.
Micro HTTP Server Implemented in C @ COSCUP 2016Jian-Hong Pan
The document discusses implementing a micro HTTP server in C for use on an embedded system with limited resources. It provides an overview of HTTP protocol basics including requests, responses, headers and bodies. It then discusses challenges of implementing an HTTP server on resource-constrained embedded devices and introduces approaches like using I/O multiplexing to handle requests from multiple clients concurrently without threads. The document proposes implementing a micro HTTP server in C using these techniques to run on an embedded system and real-time operating system.
This document contains 20 multiple choice and written response questions regarding statistical concepts such as probability, confidence intervals, hypothesis testing, and linear regression. The questions cover topics like binomial and normal distributions, sampling, measures of center and variation, the central limit theorem, and the relationship between statistical significance and p-values. Students are asked to identify hypotheses, calculate test statistics, determine p-values, perform statistical computations, interpret results, and justify their answers.
This document provides a summary of common stitch types based on ASTM D-6193 and ISO 4915:1991 standards. It lists over 20 different stitch types, including lockstitch, chainstitch, coverstitch, and blindstitch. The stitches are classified by thread count and function, such as seaming, edging, and serging. Images are included to illustrate the different stitches. The guide is intended to help communication between designers, manufacturers, and sewing contractors.
Workshop for Bridgewater State UniversityRobin DeRosa
This document provides tools and techniques for open pedagogy including using open educational resources (OER), learner-driven course plans, building a professional learning network (PLN), publishing student work online, creating open textbooks, public and social reading, and assigning non-disposable projects. It discusses specific examples like publishing student blogs, ePorts, using Pressbooks to create open textbooks, annotating readings using Hypothes.is, and assigning projects that create open resources or make recommendations.
This document provides an overview of a professional development day at Dawson College focused on boosting teaching with Google tools and Office 365. The agenda includes sessions on using Google Drive, Docs, Sheets, Slides and Forms as well as Office 365 applications like Word, Excel, PowerPoint, OneNote and more. Additional sessions cover using Google Search, Google Calendar, Google Images, Google Sites, Google Hangouts and YouTube in education. The document concludes by noting an upcoming GAFE Summit on using Google Apps for Education in Montreal.
My books- Learning to Go https://gumroad.com/l/learn2go & The 30 Goals Challenge for Teachers http://amazon.com/The-Goals-Challenge-Teachers-Transform/dp/0415735343
Resources at http://shellyterrell.com/LearningStyles
It is a huge mistake to neglect quality in favour of quantity. This presentation explores what quality is and why it is a critical part of your marketing success. Easy access to cheap resources has flooded our information space with low quality marketing content. This is not necessarily a bad thing because it offers you the opportunity to stand out from the noise. People crave quality content. Give it to them.
15 Probability Distribution Practical (HSC).pdfvedantsk1
Understanding Murphy's Law: Embracing the Unexpected
Content
Section 1: Unveiling Murphy's Law
Section 2: Real-life Applications
Section 3: Navigating the Unexpected
Section 1: Unveiling Murphy's Law
Page 1.1: Origin and Concept
Historical Context: Murphy's Law, originating from aerospace engineering, embodies the principle that "anything that can go wrong will go wrong." Its evolution from an engineering adage to a universal concept reflects its enduring relevance in diverse scenarios, providing a unique perspective on risk assessment and preparedness.
Psychological Implications: Understanding the law's impact on human behavior and decision-making processes provides insights into risk assessment, preparedness, and the psychology of uncertainty, offering valuable lessons for educators in managing unexpected events in the classroom.
Cultural Permeation: The law's integration into popular culture and its influence on societal perspectives toward unpredictability and risk management underscores its significance in contemporary discourse, highlighting its relevance in educational settings.
Page 1.2: The Science Behind the Law
Entropy and Probability: Exploring the scientific underpinnings of Murphy's Law reveals its alignment with principles of entropy and the probabilistic nature of complex systems, shedding light on its broader applicability, including its relevance in educational systems and institutional frameworks.
Complex Systems Theory: The law's resonance with the behavior of complex systems, including technological, social, and natural systems, underscores its relevance in diverse domains, from engineering to project management, offering insights into managing the complexities of educational environments.
Adaptive Strategies: Analysis of the law's implications for adaptive strategies and resilience planning offers valuable insights into mitigating the impact of unexpected events and enhancing system robustness, providing practical guidance for educators in navigating unforeseen challenges.
Page 1.3: Psychological and Behavioral Aspects
Cognitive Biases and Decision Making: Understanding how cognitive biases influence responses to unexpected events provides a framework for addressing the psychological dimensions of Murphy's Law in professional and personal contexts, offering strategies for educators to support students in managing unexpected outcomes.
Stress and Coping Mechanisms: Exploring the psychological impact of unexpected outcomes and the development of effective coping mechanisms equips individuals and organizations with strategies for managing uncertainty, providing valuable insights for educators in supporting students' emotional well-being.
Learning from Failure: Embracing the lessons inherent in Murphy's Law fosters a culture of learning from failure, promoting resilience, innovation, and adaptability in the face of unforeseen challenges, offering educators a framework for cultivating a growth mindset in students.
C2 st lecture 13 revision for test b handoutfatima d
This document provides an outline for a lecture series revising key concepts for Test B, including:
- Pythagoras' theorem, trigonometry, sine and cosine rules, and calculating triangle areas.
- Probability, probability trees, and examples calculating probabilities of dice rolls.
- Descriptive statistics like mode, median, interquartile range, mean, absolute deviation, and standard deviation.
- Hypothesis testing using z-tests, t-tests, and chi-squared tests; including setting up hypotheses, finding critical values, calculating test statistics, and making conclusions.
The revision is in preparation for Standard Track Test B which will be held the week of April 21st.
The document discusses probability and random processes. It defines random variables as functions that assign real numbers to elements of a sample space from a random experiment. Random variables can be discrete or continuous. Discrete random variables take countable values while continuous random variables take all values in an interval. Probability mass functions define probabilities for discrete random variables and probability density functions define probabilities for continuous random variables. The cumulative distribution function gives the probability that a random variable is less than or equal to a value. Examples are provided to illustrate discrete and continuous random variables and their probability functions.
This document summarizes Arthur Charpentier's presentation on econometrics and statistical learning techniques. It discusses different perspectives on modeling data, including the causal story, conditional distribution story, and explanatory data story. It also covers topics like high dimensional data, computational econometrics, generalized linear models, goodness of fit, stepwise procedures, and testing in high dimensions. The presentation provides an overview of various statistical and econometric modeling techniques.
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anovaLong Beach City College
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Elementary Statistics Practice Test 5
Module 5
Chapter 10: Correlation and Regression
Chapter 11: Goodness of Fit and Contingency Tables
Chapter 12: Analysis of Variance
Mayo Slides: Part I Meeting #2 (Phil 6334/Econ 6614)jemille6
Slides Meeting #2 (Phil 6334/Econ 6614: Current Debates on Statistical Inference and Modeling (D. Mayo and A. Spanos)
Part I: Bernoulli trials: Plane Jane Version
Numerical Methods and Applied Statistics Paper (RTU VI Semester)FellowBuddy.com
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
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This document provides solutions to homework problems involving probability and statistics. Key points include:
- Problem 1 calculates the probabilities and possible values of winnings (X) from randomly selecting balls from an urn. The possible values of X are -2, -1, 0, 1, 2, 4 and their associated probabilities are calculated.
- Problem 4 calculates the probabilities of the highest ranking (X) achieved by a woman, where 5 men and 5 women are ranked based on exam scores. Probabilities are provided for rankings 1 through 6.
- Problem 19 involves calculating the probability mass function of a random variable X, given its cumulative distribution function F(b). The probabilities P(X=i) are calculated
The document discusses joint and marginal probability distributions of random variables. It provides examples of defining joint probability functions p(x,y) for two random variables X and Y based on a card hand experiment and dice rolling experiment. It also discusses calculating marginal probabilities by summing the joint probabilities over all values of one variable. Conditional probabilities are defined as the probability of one variable given a particular value of the other.
This document provides an overview of various classification techniques in data science, including linear discriminant analysis, logistic regression, probit regression, k-nearest neighbors, classification trees (CART), random forests, and techniques for double classification like uplift modeling. It discusses consistency of models and the risk of overfitting when the training sample size is small. Key classification algorithms like logistic regression and CART are explained in detail over multiple pages.
1. Ryan White presented a dissertation defense on random walks on random lattices and their applications.
2. The presentation included models of stochastic cumulative loss processes with delayed observation, where losses arrive randomly over time and the process is observed at random observation times.
3. A time-insensitive analysis was performed to derive a joint functional of the process at successive observation times, allowing properties like the distribution of the first observed threshold crossing to be determined.
The following presentation is an introduction to the Algebraic Methods – part one for level 4 Mathematics. This resources is a part of the 2009/2010 Engineering (foundation degree, BEng and HN) courses from University of Wales Newport (course codes H101, H691, H620, HH37 and 001H). This resource is a part of the core modules for the full time 1st year undergraduate programme.
The BEng & Foundation Degrees and HNC/D in Engineering are designed to meet the needs of employers by placing the emphasis on the theoretical, practical and vocational aspects of engineering within the workplace and beyond. Engineering is becoming more high profile, and therefore more in demand as a skill set, in today’s high-tech world. This course has been designed to provide you with knowledge, skills and practical experience encountered in everyday engineering environments.
This document discusses PU (positive unlabeled) learning for image segmentation. It presents the theory of PU learning, which involves estimating a classifier from labeled positive and unlabeled data where the unlabeled data contains both positive and negative samples. The theory shows how to estimate the probability of positive samples being in the unlabeled data and how to train classifiers on labeled positive and unlabeled data. It also provides an example applying PU learning to segment blobs in artificial data and lesions in breast cancer images. Finally, it discusses extending PU learning theory to deep learning models for classification.
JEE Physics/ Lakshmikanta Satapathy/ Work Energy and Power/ Force and Potential energy/ Angular momentum and Speed of Particle/ MCQ one or more correct
JEE Physics/ Lakshmikanta Satapathy/ MCQ On Work Energy Power/ Work-Energy theorem/ Work done by Gravity/ Work done by Air resistance/ Change in Kinetic Energy of body
CBSE Physics/ Lakshmikanta Satapathy/ Electromagnetism QA/ Magnetic field due to circular coil at center & on the axis/ Magnetic field due to Straight conductor/ Magnetic Lorentz force
1) Four point charges placed at the corners of a square were given. The total electric potential at the center of the square was calculated to be 4.5 x 10^4 V.
2) The electric field and potential due to a point charge were given. Using these, the distance of the point from the charge and the magnitude of the charge were calculated.
3) An oil drop carrying a charge between the plates of a capacitor was given. The voltage required to balance the drop, given the mass and distance between plates, was calculated to be 9.19 V.
This document discusses the reflection and transmission of waves at the junction of two strings with different linear densities. It provides equations relating the amplitudes of the incident, reflected, and transmitted waves based on the continuity of displacement and slope at the junction. It also discusses sound as a pressure wave and derives an expression for the speed of sound in a fluid from the definition of pressure as a cosine wave. Finally, it defines the loudness of sound in decibels and calculates differences in loudness for different sound intensities.
1) Vibrations in air columns inside closed and open pipes produce standing waves with characteristic frequencies called harmonics or overtones.
2) In closed pipes, only odd harmonics like the fundamental, 1st overtone (3rd harmonic) and 2nd overtone (5th harmonic) are possible. In open pipes, all harmonics including the fundamental, 1st overtone (2nd harmonic) and 2nd overtone (3rd harmonic) are observed.
3) There is an end correction of about 0.3 times the pipe diameter that must be added to the effective pipe length to account for vibrations outside the physical opening.
4) The speed of sound in air can be measured
CBSE Physics/ Lakshmikanta Satapathy/ Wave Motion Theory/ Reflection of waves/ Traveling and stationary waves/ Nodes and anti-nodes/ Stationary waves in strings/ Laws of transverse vibration of stretched strings
CBSE Physics/ Lakshmikanta Satapathy/ Wave theory/ path difference and Phase difference/ Speed of sound in a gas/ Intensity of wave/ Superposition of waves/ Interference of waves
JEE Mathematics/ Lakshmikanta Satapathy/ Definite integrals part 8/ JEE question on definite integral involving integration by parts solved with complete explanation
JEE Physics/ Lakshmikanta Satapathy/ Question on the magnitude and direction of the resultant of two displacement vectors asked by a student solved in the slides
JEE Mathematics/ Lakshmikanta Satapathy/ Quadratic Equation part 2/ Question on properties of the roots of a quadratic equation solved with the related concepts
JEE Mathematics/ Lakshmikanta Satapathy/ Probability QA part 12/ JEE Question on Probability involving the complex cube roots of unity is solved with the related concepts
JEE Mathematics/ Lakshmikanta Satapathy/ Inverse trigonometry QA part 6/ Questions on Inverse trigonometric functions involving tan inverse function solved with the related concepts
This document contains two problems from inverse trigonometry. The first problem involves finding the values of x and y given trigonometric expressions involving tan(x) and tan(y). The second problem proves the identity x = -x + pi for x in the range (-pi, pi). Both problems are solved step-by-step using trigonometric identities and properties. The document also provides contact information for the physics help website.
This document discusses the transient current in an LR circuit with two inductors (L1 and L2) and a resistor connected to a 5V battery. It provides the equations for calculating the transient current in an LR circuit. It then calculates that for L1, the ratio of maximum to minimum current (Imax/Imin) is 8. Similarly, for L2 the ratio is 5. The total maximum current drawn from the battery is 40A and the minimum is 5A, giving a ratio of 8.
JEE Physics/ Lakshmikanta Satapathy/ Electromagnetism QA part 7/ Question on doubling the range of an ammeter by shunting solved with the related concepts
As of Mid to April Ending, I am building a new Reiki-Yoga Series. No worries, they are free workshops. So far, I have 3 presentations so its a gradual process. If interested visit: https://www.slideshare.net/YogaPrincess
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Blessings and Happy Spring. We are hitting Mid Season.
How to manage Multiple Warehouses for multiple floors in odoo point of saleCeline George
The need for multiple warehouses and effective inventory management is crucial for companies aiming to optimize their operations, enhance customer satisfaction, and maintain a competitive edge.
*Metamorphosis* is a biological process where an animal undergoes a dramatic transformation from a juvenile or larval stage to a adult stage, often involving significant changes in form and structure. This process is commonly seen in insects, amphibians, and some other animals.
INTRO TO STATISTICS
INTRO TO SPSS INTERFACE
CLEANING MULTIPLE CHOICE RESPONSE DATA WITH EXCEL
ANALYZING MULTIPLE CHOICE RESPONSE DATA
INTERPRETATION
Q & A SESSION
PRACTICAL HANDS-ON ACTIVITY
Title: A Quick and Illustrated Guide to APA Style Referencing (7th Edition)
This visual and beginner-friendly guide simplifies the APA referencing style (7th edition) for academic writing. Designed especially for commerce students and research beginners, it includes:
✅ Real examples from original research papers
✅ Color-coded diagrams for clarity
✅ Key rules for in-text citation and reference list formatting
✅ Free citation tools like Mendeley & Zotero explained
Whether you're writing a college assignment, dissertation, or academic article, this guide will help you cite your sources correctly, confidently, and consistent.
Created by: Prof. Ishika Ghosh,
Faculty.
📩 For queries or feedback: [email protected]
GDGLSPGCOER - Git and GitHub Workshop.pptxazeenhodekar
This presentation covers the fundamentals of Git and version control in a practical, beginner-friendly way. Learn key commands, the Git data model, commit workflows, and how to collaborate effectively using Git — all explained with visuals, examples, and relatable humor.
Exploring Substances:
Acidic, Basic, and
Neutral
Welcome to the fascinating world of acids and bases! Join siblings Ashwin and
Keerthi as they explore the colorful world of substances at their school's
National Science Day fair. Their adventure begins with a mysterious white paper
that reveals hidden messages when sprayed with a special liquid.
In this presentation, we'll discover how different substances can be classified as
acidic, basic, or neutral. We'll explore natural indicators like litmus, red rose
extract, and turmeric that help us identify these substances through color
changes. We'll also learn about neutralization reactions and their applications in
our daily lives.
by sandeep swamy
Understanding P–N Junction Semiconductors: A Beginner’s GuideGS Virdi
Dive into the fundamentals of P–N junctions, the heart of every diode and semiconductor device. In this concise presentation, Dr. G.S. Virdi (Former Chief Scientist, CSIR-CEERI Pilani) covers:
What Is a P–N Junction? Learn how P-type and N-type materials join to create a diode.
Depletion Region & Biasing: See how forward and reverse bias shape the voltage–current behavior.
V–I Characteristics: Understand the curve that defines diode operation.
Real-World Uses: Discover common applications in rectifiers, signal clipping, and more.
Ideal for electronics students, hobbyists, and engineers seeking a clear, practical introduction to P–N junction semiconductors.
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schoolsdogden2
Algebra 1 is often described as a “gateway” class, a pivotal moment that can shape the rest of a student’s K–12 education. Early access is key: successfully completing Algebra 1 in middle school allows students to complete advanced math and science coursework in high school, which research shows lead to higher wages and lower rates of unemployment in adulthood.
Learn how The Atlanta Public Schools is using their data to create a more equitable enrollment in middle school Algebra classes.
Ultimate VMware 2V0-11.25 Exam Dumps for Exam SuccessMark Soia
Boost your chances of passing the 2V0-11.25 exam with CertsExpert reliable exam dumps. Prepare effectively and ace the VMware certification on your first try
Quality dumps. Trusted results. — Visit CertsExpert Now: https://www.certsexpert.com/2V0-11.25-pdf-questions.html
A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 795 from Texas, New Mexico, Oklahoma, and Kansas. 95 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - WorksheetSritoma Majumder
Introduction
All the materials around us are made up of elements. These elements can be broadly divided into two major groups:
Metals
Non-Metals
Each group has its own unique physical and chemical properties. Let's understand them one by one.
Physical Properties
1. Appearance
Metals: Shiny (lustrous). Example: gold, silver, copper.
Non-metals: Dull appearance (except iodine, which is shiny).
2. Hardness
Metals: Generally hard. Example: iron.
Non-metals: Usually soft (except diamond, a form of carbon, which is very hard).
3. State
Metals: Mostly solids at room temperature (except mercury, which is a liquid).
Non-metals: Can be solids, liquids, or gases. Example: oxygen (gas), bromine (liquid), sulphur (solid).
4. Malleability
Metals: Can be hammered into thin sheets (malleable).
Non-metals: Not malleable. They break when hammered (brittle).
5. Ductility
Metals: Can be drawn into wires (ductile).
Non-metals: Not ductile.
6. Conductivity
Metals: Good conductors of heat and electricity.
Non-metals: Poor conductors (except graphite, which is a good conductor).
7. Sonorous Nature
Metals: Produce a ringing sound when struck.
Non-metals: Do not produce sound.
Chemical Properties
1. Reaction with Oxygen
Metals react with oxygen to form metal oxides.
These metal oxides are usually basic.
Non-metals react with oxygen to form non-metallic oxides.
These oxides are usually acidic.
2. Reaction with Water
Metals:
Some react vigorously (e.g., sodium).
Some react slowly (e.g., iron).
Some do not react at all (e.g., gold, silver).
Non-metals: Generally do not react with water.
3. Reaction with Acids
Metals react with acids to produce salt and hydrogen gas.
Non-metals: Do not react with acids.
4. Reaction with Bases
Some non-metals react with bases to form salts, but this is rare.
Metals generally do not react with bases directly (except amphoteric metals like aluminum and zinc).
Displacement Reaction
More reactive metals can displace less reactive metals from their salt solutions.
Uses of Metals
Iron: Making machines, tools, and buildings.
Aluminum: Used in aircraft, utensils.
Copper: Electrical wires.
Gold and Silver: Jewelry.
Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
Oxygen: Breathing.
Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
An alloy is a mixture of metals or a metal with a non-metal.
Alloys have improved properties like strength, resistance to rusting.
2. Physics Helpline
L K Satapathy
Q1: Two numbers are selected at random (without replacement) from the first six
positive integers. Let X denote the larger of the two numbers obtained. Find the mean
and variance of X.
QA Probability - 7
6
2
6 5 15
1 2
C ways
Ans : The first six positive integers are { 1 , 2 , 3 , 4 , 5 , 6 }
We have to select 2 numbers from a total of 6.
This can be done in
Since the numbers are not repeated , the two numbers are not equal
If X denotes the larger of the two numbers , then X is a random variable
which can take the values 2 , 3 , 4 , 5 or 6.
Probability of selecting each pair of numbers =
S = { 12 , 13 , 14 , 15 , 16 , 23 , 24 , 25 , 26 , 34 , 35 , 36 , 45 , 46 , 56 }
1
15
3. Physics Helpline
L K Satapathy
QA Probability - 7
1( 2) {(1,2)}
15
P X P
2( 3) {(1,3),(2,3)}
15
P X P
3( 4) {(1,4),(2,4),(3,4)}
15
P X P
4( 5) {(1,5),(2,5),(3,5),(4,5)}
15
P X P
5( 6) {(1,6),(2,6),(3,6),(4,6),(5,6)}
15
P X P
X
P(X)
Probability distribution
2 3 4 65
1
15
2
15
3
15
5
15
4
15
4. Physics Helpline
L K Satapathy
QA Probability - 7
i ip x 2 6 12 20 30
15
70 14
15 3
2
i ip x 4 18 48 100 180
15
350 70
15 3
2 2 2 70 196 210 196 14
3 9 9 9
[ ]x i i Anp sx
2
3
4
5
6
Computation Table
ix i ip x
1
15
2
15
3
15
ip 2
i ip x
4
15
5
15
2
15
6
15
12
15
20
15
30
15
4
15
18
15
48
15
100
15
180
15
14
3i ip x 2 70
3i ip x
14 [
3
]i i Ansp x
5. Physics Helpline
L K Satapathy
QA Probability - 7
Q2: A fair coin is tossed four times. Let X represent the number of heads obtained in
the four tosses. Find the mean and variance of X.
Ans : The sample space for tossing a coin 4 times is
S = { HHHH , HHHT , HHTH , HHTT , HTHH , HTHT , HTTH , HTTT ,
THHH , THHT , THTH , THTT , TTHH , TTHT , TTTH , TTTT }
Given that X represents the number of heads obtained
X is a random variable which can take the values 0 , 1 , 2 , 3 or 4.
Number of elements of sample space = 16
Probability of each outcome
and each of these are equally likely to occur
1
16
8. Physics Helpline
L K Satapathy
QA Probability - 7
0
1
2
3
4
Computation Table
ix i ip x
1
16
4
16
6
16
ip 2
i ip x
4
16
1
16
0
4
16
12
16
12
16
4
16
0
4
16
24
16
36
16
16
16
2i ip x 2
5i ip x
i ip x 4 12 12 4 2
16
2
i ip x 4 24 36 16 5
16
2 2 2
[1 ]5 4
x i i
An
p x
s
[ ]2i ix A sp n
9. Physics Helpline
L K Satapathy
QA Probability - 7
Q3: In a meeting, 70% of the members favour a certain proposal and 30% oppose it. A
member is selected at random and we take X = 0 if he opposed the proposal and X = 1
if he favoured it . Find the mean and variance of X.
Ans : It is given that 30% of the members oppose the proposal for which X = 0
30 3( 0) 0.3
100 10
P X
and 70% of the members favour the proposal for which X = 1
70 7( 1) 0.7
100 10
P X
X
P(X)
Probability distribution
0 1
0.3 0.7
0 0.3 1 0.7 0.7i ip x
2 2 2
0.3 0 0.7 1 0.7i ip x
0 [.7 ]i i A sp x n
2 2 2 2
0.7 (0.7) 0.7 0.49 0.21 [ ]x i i Ansp x
10. Physics Helpline
L K Satapathy
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