When the population means are equal, the estimated standard error for the independent-measures t test provides ameasure of how much difference to expect between two sample means. For each of the following situations, assumethat Pi= P2 and calculate how much difference should be expected between the two sample means. (Use onedecimal place.)One sample has n = 6 scores with SS70, and the second sample has n = 10 scores with SS =140.One sample has n = 6 scores with SS =310, and the second sample has n = 10 scores with SS= 530.%3DIn the second part of this question, the samples have larger variability (bigger SS values) than in the first part, butthe sample sizes are unchanged. How does larger variability affect the size of the standard error for the sample meardifference?Larger variability has no effect on standard error.Larger variability produces a larger standard error.Larger variability produces a smaller standard error.

Compute the estimated standard error in the first part: Given that the sample sizes of two samples…

When the population means are equal, the estimated standard error for the independent-measures t test provides a measure of how much difference to expect between two sample means. For each of the following situations, assume that µi = P2 and calculate how much difference should be expected between the two sample means. (Use one decimal place.)

When the population means are equal, the estimated standard error for the independent-measures t test provides a measure of how much difference to expect between two sample means. For each of the following situations, assume that µi = P2 and calculate how much difference should be expected between the two sample means. (Use one decimal place.)

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Question

When the population means are equal, the estimated standard error for the independent-measures t test provides a
measure of how much difference to expect between two sample means. For each of the following situations, assume
that Pi
= P2 and calculate how much difference should be expected between the two sample means. (Use one
decimal place.)
One sample has n = 6 scores with SS
70, and the second sample has n = 10 scores with SS =
140.
One sample has n = 6 scores with SS =
310, and the second sample has n = 10 scores with SS
= 530.
%3D
In the second part of this question, the samples have larger variability (bigger SS values) than in the first part, but
the sample sizes are unchanged. How does larger variability affect the size of the standard error for the sample mear
difference?
Larger variability has no effect on standard error.
Larger variability produces a larger standard error.
Larger variability produces a smaller standard error.

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