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Assume that the heights of adult males in a certain region are normally distributed. The heights (in inches) of 20 randomly selected adult males from this region are listed below:

70, 72, 71, 70, 69, 73, 69, 68, 70, 71, 67, 71, 70, 74, 69, 68, 71, 71, 71, 72

Use this sample data and a 0.05 significance level to test the claim that the variance of all heights in this region is less than 6.25.

Answer :

The sample variance is 2.976 , which means it's lesser than 6.25. We calculate this using the standard method.

Given:

Sample data is 0.05

The sample size is 20.

And ,

The hypotheses are:

H0: sigma^2 = 6.25 (>=)

Ha: sigma^2 < 6.25

The critical value is 10.117. If the test statistic is less than this value, we'll reject the null hypothesis. We Reject the null hypothesis when the p-value is less than or equal to your significance level. Your sample data favor the alternative hypothesis, which suggests that the effect exists in the population. For a mnemonic device, remember—when the p-value is low, the null must go.

The test statistic is:

2.976 * 19 / 6.25 = 9.047.

So we reject the null hypothesis. The variance is not 6.25, which means it is lesser then 6.25

To learn more about the sample variance.

https://brainly.com/question/18147521

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