Suppose you conduct a study using an independent-measures research design, and you intend to use the independent-measures t test to test whether the means of the two independent populations are the same. The following is a table of the information you gather. Fill in any missing values. Sample Size Degrees of Freedom Sample Mean Standard Deviation Sums of Squares Sample 1 ni = 41 M, = 14.3 Sz = 8.2 Sample 2 n2 = 21 M2 = 13.6 SS, = 924.8 The pooled variance for your study is (Note: You are being asked for this value to three decimal places, because you will need to use it in succeeding calculations. For the most accurate results, retain these three decimal places throughout the calculations.) The estimated standard error of the difference in sample means for your study is The t statistic for your independent-measures t test, when the null hypothesis is that the two population means are the same, is The degrees of freedom for this t statistic is

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Suppose you conduct a study using an independent-measures research design, and you intend to use the independent-measures t test to test whether
the means of the two independent populations are the same. The following is a table of the information you gather. Fill in any missing values.
Sample Size
Degrees of Freedom
Sample Mean
Standard Deviation
Sums of Squares
Sample 1
n, = 41
M1 = 14.3
S = 8.2
Sample 2
n2 = 21
M2 = 13.6
SS2
924.8
The pooled variance for your study is
▼. (Note: You are being asked for this value to three decimal places, because you will need to use it
in succeeding calculations. For the most accurate results, retain these three decimal places throughout the calculations.)
The estimated standard error of the difference in sample means for your study is
The t statistic for your independent-measures t test, when the null hypothesis is that the two population means are the same, is
The degrees of freedom for this t statistic is
Transcribed Image Text:Suppose you conduct a study using an independent-measures research design, and you intend to use the independent-measures t test to test whether the means of the two independent populations are the same. The following is a table of the information you gather. Fill in any missing values. Sample Size Degrees of Freedom Sample Mean Standard Deviation Sums of Squares Sample 1 n, = 41 M1 = 14.3 S = 8.2 Sample 2 n2 = 21 M2 = 13.6 SS2 924.8 The pooled variance for your study is ▼. (Note: You are being asked for this value to three decimal places, because you will need to use it in succeeding calculations. For the most accurate results, retain these three decimal places throughout the calculations.) The estimated standard error of the difference in sample means for your study is The t statistic for your independent-measures t test, when the null hypothesis is that the two population means are the same, is The degrees of freedom for this t statistic is
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