Asked by Nieajua Gonzalez on Jun 09, 2024

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In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference   if the populations are normal with equal variances. if the populations are normal with equal variances.

Pooled Variance

Acombined estimate of variance for two or more groups in a sample, assuming that the populations have equal variances.

Sampling Distribution

The distribution of a statistic (like the mean or variance) derived from a large number of samples drawn from a specific population.

Sample Mean Difference

The difference between the average values from two samples, used in hypothesis testing to compare two groups.

  • Grasp the essential hypotheses supporting the application of the t-test for two non-related samples.
  • Recognize the differences between homogeneity and heterogeneity of variances in two-sample t-tests.
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YC
Yvette CaravantesJun 13, 2024
Final Answer :
True
Explanation :
When testing the difference between two population means using two independent samples and assuming normality and equal variances, we use the pooled variance to estimate the standard error of the sampling distribution of the sample mean difference. This is because the pooled variance is a weighted average of the sample variances from each group, which accounts for the variation within each group and provides a more accurate estimate of the population variance.