Question

For the independent-measures t test, which of the following describes the estimated standard error of M1 - M2 (whose symbol is )? O The variance across all the data values when both samples are pooled together O A weighted average of the two sample variances (weighted by the sample sizes) O The difference between the standard deviations of the two samples O An estimate of the standard distance between the difference in sample means (M, - M2) and the difference in the corresponding population means (Hi - H2) For the independent-measures t test, which of the following describes the pooled variance (whose symbol is )? O An estimate of the standard distance between the difference in sample means (M1 - M2) and the difference in the corresponding population means (Hi - P2) O The difference between the standard deviations of the two samples OA weighted average of the two sample variances (weighted by the sample sizes) O The variance across all the data values when both samples are pooled together In calculating is the value used in you typically first need to calculate the denominator of the t statistic for the independent-measures t test 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 Sample Standard Sums of Degrees of Size Freedom Mean Deviation Squares M1 14.3 Sample 1 S1 = 8.2 n1 41 M2 13.6 Sample 2 SS2 924.8 n2 21 . (Note: You are being asked for this value to three decimal places, The pooled variance for your study is 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 M1 - M2 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

Answer 1

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