conclusions based on the results d. Calculate the p-value for the test in part c and interpret its meaning e. State the correct null and alternative hypothesis for whether group 1 scores are equal to group 2 scores f. Calculate the correct test (regular two sample t or Behrens-Fisher t) and draw the conclusions based on the results g. Calculate the p-value for the test in part f and interpret its meaning h. State the correct null and alternative hypothesis for whether group 1 scores are less than group 2 scores i. Calculate the correct test (regular two sample t or Behrens-Fisher t) and draw the conclusions based on the results j. Calculate the p-value for the test in part i and interpret its meaning k. State the correct null and alternative hypothesis for whether group 1 scores are greater than group 2 scores l. Calculate the correct test (regular two sample t or Behrens-Fisher t) and draw the conclusions based on the results m. Calculate the p-value for the test in part l and interpret its meaning n. State the correct null and alternative hypothesis for whether group 1 scores are not equal to group 2 scores o. Calculate the correct test (regular two sample t or Behrens-Fisher t) and draw the conclusions based on the results p. Calculate the p-value for the test in part o and interpret its meaning
Added by Cody S.
Step 1
To calculate the p-value, we need to compare the test statistic to the appropriate distribution. In this case, since we are comparing means of two independent groups, we can use the two-sample t-test. Show more…
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State the results of the t-test using the "Assume equal variances" row. Interpret the statistical results against the null hypothesis and state whether it is accepted or rejected. Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper gpa Equal variances assumed .095 .758 1.999 103 .048 .28090 .14055 .00215 .55965 Equal variances not assumed 1.961 79.985 .053 .28090 .14326 -.00419 .56599
Sri K.
You conduct a two-sample t-test twice, once assuming that the variances of both groups are the same and again assuming that the variances are different. Which of the following will always differ between the two tests? The null and alternative hypotheses. The test statistics. The critical values. The conclusions about whether or not to reject the null hypothesis.
Select the TWO options that are TRUE statements about two-sample t-tests. It is not possible to find a confidence interval for the difference between two means based on the two sample t-test with unequal variances. The two-sample t-test with unequal variances has, as its null hypothesis, that the variances of the two populations involved are the same. A researcher has collected two samples of data and the sample variances are 2.16² and 4.82². It would be appropriate to use the two-sample t-test with a common variance. The same formula is used for the ESE (estimated standard error) in the two-sample t-test with unequal variances and the two-sample z-test. A researcher has collected two samples of data and the sample variances are 1.45 and 2.11. It would be appropriate to use the two-sample t-test with a common variance.
T. L.
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