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The t test for the difference between the means of two independent populationsalways assumes that the respectivea. sample sizes are equalb. sample variances are equalc. populations are normally distributed if each sample size is less than 30d. All of the above

Question

The t test for the difference between the means of two independent populationsalways assumes that the respectivea. sample sizes are equalb. sample variances are equalc. populations are normally distributed if each sample size is less than 30d. All of the above

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Solution

d. All of the above

The t-test for the difference between the means of two independent populations assumes that:

a. The sample sizes are equal: This is not a strict requirement, but the test is most reliable when the two samples are of equal size.

b. The sample variances are equal: This is an assumption of the standard independent samples t-test (also known as the Student's t-test). If this assumption is violated, a variation of the t-test known as Welch's t-test may be used instead.

c. The populations are normally distributed if each sample size is less than 30: This is a rule of thumb for the t-test. If the sample size is large (e.g., 30 or more), the Central Limit Theorem suggests that the sampling distribution of the mean will be approximately normal even if the population distribution is not. But for smaller sample sizes, the t-test is most reliable if the population distribution is normal.

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