@@ -6380,7 +6380,7 @@ public double getMean() {
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* The sum of squared deviations from the mean of the values in the
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* population. For values x_i this is:
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* Sum[i=1..n]((x_i - mean)^2)
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- * Knuth, "The Art of Computer Programming", Vol. 2, page 323 , 3rd edition
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+ * Knuth, "The Art of Computer Programming", Vol. 2, page 232 , 3rd edition
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* describes Welford's method for accumulating this sum in one pass.
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* If `count` is zero then this field must be zero.
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* </pre>
@@ -7283,7 +7283,7 @@ public Builder clearMean() {
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* The sum of squared deviations from the mean of the values in the
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* population. For values x_i this is:
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* Sum[i=1..n]((x_i - mean)^2)
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- * Knuth, "The Art of Computer Programming", Vol. 2, page 323 , 3rd edition
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+ * Knuth, "The Art of Computer Programming", Vol. 2, page 232 , 3rd edition
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* describes Welford's method for accumulating this sum in one pass.
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* If `count` is zero then this field must be zero.
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* </pre>
@@ -7303,7 +7303,7 @@ public double getSumOfSquaredDeviation() {
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* The sum of squared deviations from the mean of the values in the
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* population. For values x_i this is:
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* Sum[i=1..n]((x_i - mean)^2)
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- * Knuth, "The Art of Computer Programming", Vol. 2, page 323 , 3rd edition
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+ * Knuth, "The Art of Computer Programming", Vol. 2, page 232 , 3rd edition
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* describes Welford's method for accumulating this sum in one pass.
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* If `count` is zero then this field must be zero.
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* </pre>
@@ -7326,7 +7326,7 @@ public Builder setSumOfSquaredDeviation(double value) {
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* The sum of squared deviations from the mean of the values in the
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* population. For values x_i this is:
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* Sum[i=1..n]((x_i - mean)^2)
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- * Knuth, "The Art of Computer Programming", Vol. 2, page 323 , 3rd edition
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+ * Knuth, "The Art of Computer Programming", Vol. 2, page 232 , 3rd edition
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* describes Welford's method for accumulating this sum in one pass.
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* If `count` is zero then this field must be zero.
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* </pre>
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