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- As noted on page 332, when the two population means are equal, the estimated standard error for the indepen- dent-measures t test provides a measure of how much difference to expect between two sample means. For each of the following situations, assume that μ = μ2 and calculate how much difference should be expected between the two sample means. a. One sample has n = 6 scores with SS = 500 and the second sample has n = 12 scores with SS = 524. b. One sample has n = 6 scores with SS = 600 and the second sample has n = 12 scores with SS = 696. c. In Part b, the samples have larger variability (big- 91²² ger SS values) than in Part a, but the sample sizes are unchanged. How does larger variability affect the magnitude of the standard error for the sample mean difference?

- As noted on page 332, when the two population means are equal, the estimated standard error for the indepen- dent-measures t test provides a measure of how much difference to expect between two sample means. For each of the following situations, assume that μ = μ2 and calculate how much difference should be expected between the two sample means. a. One sample has n = 6 scores with SS = 500 and the second sample has n = 12 scores with SS = 524. b. One sample has n = 6 scores with SS = 600 and the second sample has n = 12 scores with SS = 696. c. In Part b, the samples have larger variability (big- 91²² ger SS values) than in Part a, but the sample sizes are unchanged. How does larger variability affect the magnitude of the standard error for the sample mean difference?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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20. As noted on page 332, when the two population means are equal, the estimated standard error for the indepen- dent-measures t test provides a measure of how much difference to expect between two sample means. For each of the following situations, assume that p₁ = μ₂ and calculate how much difference should be expected between the two sample means. a. One sample has n = 6 scores with SS = 500 and the second sample has n = 12 scores with SS = 524. b. One sample has n = 6 scores with SS = 600 and the second sample has n = 12 scores with SS = 696. c. In Part b, the samples have larger variability (big- ger SS values) than in Part a, but the sample sizes are unchanged. How does larger variability affect the magnitude of the standard error for the sample mean difference?
Transcribed Image Text:20. As noted on page 332, when the two population means are equal, the estimated standard error for the indepen- dent-measures t test provides a measure of how much difference to expect between two sample means. For each of the following situations, assume that p₁ = μ₂ and calculate how much difference should be expected between the two sample means. a. One sample has n = 6 scores with SS = 500 and the second sample has n = 12 scores with SS = 524. b. One sample has n = 6 scores with SS = 600 and the second sample has n = 12 scores with SS = 696. c. In Part b, the samples have larger variability (big- ger SS values) than in Part a, but the sample sizes are unchanged. How does larger variability affect the magnitude of the standard error for the sample mean difference?
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