Answer Happy

1. You run a t-test to find out if depression scores are different between depression patients who went through a treatment for depression and those who did not. Depression_scores Equal variances assumed L Equal variances not assumed Levene's Test for Equality of Variances F Independent Samples Test 6.211 Sig. .022 t 4.268 df 20 4.268 14.559 Sig. (2- tailed) .000 .001 t-test for Equality of Means Mean Difference 2.727 2.727 Std. Error Difference. .639 .639 95% Confidence Interval of the Difference Lower 1.394 1.362 a. (2pts) Based on the t-test output (mainly the p-value), is there a significant difference in depression scores between the 2 groups (Yes or No)? How can you tell? Upper 4.060 4.093
2. You run a t-test to find out if pain intensity scores are different between chronic pain patients who went through a treatment for chronic pain and those who did not. Pain_Scores Equal variances assumed Equal variances not assumed Levene's Test for Equality of Variances F 3.070 Independent Samples Test Sig. .095 t 4.478 df 20 4.478 15.283 Sig. (2- tailed) .000 .000 t-test for Equality of Means Mean Difference 3.455 3.455 Std. Error Difference .771 .771 95% Confidence Interval of the Difference Lower 1.845 1.813 a. (2pts) Based on the t-test output (mainly the p-value), is there a significant difference in pain scores between the 2 groups (Yes or No)? How can you tell? Upper 5.064 5.096