Inferential vs descriptive tutorial of when to use - Copyright Updated
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The document discusses the differences between descriptive and inferential statistics. Descriptive statistics are used to describe characteristics of a whole population, while inferential statistics are used when the whole population cannot be measured and conclusions are drawn from a sample to generalize to the larger population. Examples are provided to illustrate when each type of statistic would be used. Key differences include descriptive statistics examining entire populations while inferential statistics examine samples that aim to infer conclusions about populations.
Inferential vs descriptive tutorial of when to use - Copyright Updated
- 1. Is this question … Inferential?Descriptive? or
- 3. Descriptive statistics are used when you want to know something about everyone in an entire group or population. Central Tendency, Spread, or Symmetry? Everyone in the population
- 4. A population can be - everyone in a country (e.g., United States, Zimbabwe, Peru, China, etc.) - everyone in a company. - every student in a state, in a school district, in a school or in a class.
- 5. A population can be - everyone in a country (e.g., United States, Zimbabwe, Peru, China, etc.) - everyone in a company - every student in a state, in a school district, in a school or in a class. The key words you look for in your research question are all, everyone, census, entire group…
- 6. Example Let’s say we want to know something about all taxi drivers in New York (e.g., how fast they drive, how much they charge…).
- 7. Example Let’s say we want to know something about all taxi drivers in New York (e.g., how fast they drive, how much they charge…). While it is unlikely, imagine we are able to ask all 13,500 taxi drivers in New York.
- 8. Example Let’s say we want to know something about all taxi drivers in New York (e.g., how fast they drive, how much they charge…). While it is unlikely, imagine we are able to ask all 13,500 taxi drivers in New York. In this case, we would use descriptive statistics to summarize our findings!
- 10. Central Tendency, Spread, or Symmetry? Sample of the population Everyone in the population Inferential statistics are used when you want to know something about everyone. Since you can’t access the entire group. You take a small sample from the entire group and infer or generalize the results to the entire group.
- 11. Central Tendency, Spread, or Symmetry? Sample of the population Everyone in the population This is when you use inferential statistics! Inferential statistics are used when you want to know something about everyone. Since you can’t access the entire group. You take a small sample from the entire group and infer or generalize the results to the entire group.
- 12. Central Tendency, Spread, or Symmetry? Sample of the population Everyone in the population Look for words like, “infer,” “generalize,” “statistical significance”… Inferential statistics are used when you want to know something about everyone. Since you can’t access the entire group. You take a small sample from the entire group and infer or generalize the results to the entire group.
- 13. Example Let’s say we want to know something about all taxi drivers in New York (e.g., how fast they drive, how much they charge…) But we do not have the ability to ask all 13,500 of them. Let’s say we chose a small group of 80 and asked them. Inferential statistics make it possible to infer what is happening with the 80 to all 13,500.
- 14. Example Let’s say we want to know something about all taxi drivers in New York (e.g., how fast they drive, how much they charge…) But we do not have the ability to ask all 13,500 of them. Let’s say we chose a small group of 80 and asked them. Inferential statistics make it possible to infer what is happening with the 80 to all 13,500.
- 15. Example Let’s say we want to know something about all taxi drivers in New York (e.g., how fast they drive, how much they charge…) But we do not have the ability to ask all 13,500 of them. Let’s say we choose a small group of 80 and ask them. Inferential statistics make it possible to infer what is happening with the 80 to all 13,500. infer
- 16. Example Let’s say we want to know something about all taxi drivers in New York (e.g., how fast they drive, how much they charge…) But we do not have the ability to ask all 13,500 of them. Let’s say we choose a small group of 80 and ask them. Inferential statistics make it possible to infer what is happening with the 80 to all 13,500. infer
- 17. Let’s Practice!
- 18. Find the average driving distance from home to work for all employees at your company. Inferential Descriptive
- 19. Find the average driving distance from home to work for all employees at your company. Inferential Descriptive
- 20. Find the average driving distance from home to work for all employees at your company. Inferential Descriptive
- 21. Find the average driving distance from home to work for all employees at your company. Inferential Descriptive Descriptive statistics are used when you want to know something about everyone in an entire group. Everyone in the population
- 22. Next Example
- 23. What factors influence employees to stay at your company? You take a sample of 40 employees and generalize the results to all employees who stay. Inferential Descriptive
- 24. What factors influence employees to stay at your company? You take a sample of 40 employees and generalize the results to all employees who stay. Inferential Descriptive
- 25. What factors influence employees to stay at your company? You take a sample of 40 employees and generalize the results to all employees who stay. Inferential Descriptive
- 26. What factors influence employees to stay at your company? You take a sample of 40 employees and generalize the results to all employees who stay. Inferential Descriptive Inferential statistics are used when you want to know something about everyone from a smaller group. Sample from the population Everyone in the population
- 27. Final Example
- 28. How do the customer satisfaction levels compare between English and Spanish speaking customers? You compare samples from each group and infer the results to both populations. Inferential Descriptive
- 29. How do the customer satisfaction levels compare between English and Spanish speaking customers? You compare samples from each group and infer the results to both populations. Inferential Descriptive
- 30. How do the customer satisfaction levels compare between English and Spanish speaking customers? You compare samples from each group and infer the results to both populations. Inferential Descriptive
- 31. How do the customer satisfaction levels compare between English and Spanish speaking customers? You compare samples from each group and infer the results to both populations. Inferential Descriptive Sample from the population Everyone in the population Inferential statistics are used when you want to know something about everyone from a smaller group.
- 32. In this course you will learn when to run 24 statistical methods.
- 33. In this course you will learn when to run 24 statistical methods. By choosing descriptive that narrows the number down to 6 possible methods.
- 34. In this course you will learn when to run 24 statistical methods. By choosing descriptive that narrows the number down to 6 possible methods. Mean Median Mode Range Stdev IQR Descriptive?
- 35. In this course you will learn when to run 24 statistical methods. By choosing inferential that narrows the number down to 18 possible methods.
- 36. In this course you will learn when to run 24 statistical methods. By choosing inferential that narrows the number down to 18 possible methods. Inferential?or Single t Ind t Pair t anova ancova F-anova RM Split Pearson Partial Point-B Phi Spear Kendall Single R Multi R Chi Ind Chi Fit Mean Median Mode Range Stdev IQR Descriptive?
- 37. Return to your original question. What type of research question is it? Inferential?Descriptive? or