Which statement is NOT correct about the chi- square distribution? A. The area under a chi-square density curve is always equal to 1. В. The test statistic is the sum of positive numbers and therefore...

Which statement is NOT correct about the chi-<br>square distribution?<br>A.<br>The area under a chi-square density curve is<br>always equal to 1.<br>В.<br>The test statistic is the sum of positive<br>numbers and therefore must be positive.<br>C.<br>A chi-square distribution never takes negative<br>values.<br>D.<br>A value close to 0 would indicate expected<br>counts are much different from observed<br>counts.<br>

Extracted text: Which statement is NOT correct about the chi- square distribution? A. The area under a chi-square density curve is always equal to 1. В. The test statistic is the sum of positive numbers and therefore must be positive. C. A chi-square distribution never takes negative values. D. A value close to 0 would indicate expected counts are much different from observed counts.

Which of the following distributions is used to<br>compare two variances?<br>А.<br>Z - Distribution<br>В.<br>F- Distribution<br>С.<br>T- Distribution<br>D.<br>Chi-square Distribution<br>

Extracted text: Which of the following distributions is used to compare two variances? А. Z - Distribution В. F- Distribution С. T- Distribution D. Chi-square Distribution

Jun 04, 2022

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Which statement is NOT correct about the chi- square distribution? A. The area under a chi-square density curve is always equal to 1. В. The test statistic is the sum of positive numbers and therefore...

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