Which of the following is NOT an advantage of pooling sample variances? Choose the correct answer below. A. We often know that sigma1equalssigma2. B. Confidence intervals are a little narrower. C. Hypothesis tests have more power. D. The number of degrees of freedom is a little higher.

The sampling variance is pooled when there is assumption that the population variance are equal which is not an advantage. So [tex]\sigma _1=\sigma _2[/tex] will have no advantage of pooling sample variances [tex]\sigma _1=\sigma _2[/tex] is given in option (A) so option (A) will be the right answer

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pinquancaro pinquancaro · Answer 2 · 2019-12-05T06:28:33+01:00

Answer:

Option A - we often know that [tex]\sigma_1=\sigma_2[/tex]

Step-by-step explanation:

To find : Which of the following is NOT an advantage of pooling sample variances?

Solution :

Pooled variance is defined as a method for estimating variance of several different populations when the mean of each population may be different, but one may assume that the variance of each population is the same.

So,

The sampling variance is pooled when there is assumption that the population variance are equal which is not an advantage.

i.e. we often know that [tex]\sigma_1=\sigma_2[/tex]

Therefore, option A is correct.

Which of the following is NOT an advantage of pooling sample​ variances? Choose the correct answer below. A. We often know that sigma1equalssigma2. B. Confidence intervals are a little narrower. C. Hypothesis tests have more power. D. The number of degrees of freedom is a little higher.

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Which of the following is NOT an advantage of pooling sample variances? Choose the correct answer below. A. We often know that sigma1equalssigma2. B. Confidence intervals are a little narrower. C. Hypothesis tests have more power. D. The number of degrees of freedom is a little higher.