T-TEST analytics with questions fix.pptx

T test analytics with questions

1. T-test

2. H1 vs H0

3. One-tailed vs Two-tailed

4. One-tailed vs Two-tailed

5. If the absolute value of the t-value is greater than the critical value , you reject the null hypothesis . If the absolute value of the t-value is less than the critical value, you fail to reject the null hypothesis.

6. 1. Calculate the independent T-test for following data Mean of group 1____ Mean of group 2_____ Difference between the means_____ SS of group 1_____ ss of group 2____ t:____ how many dF?___ critival value for t?___ Is t significant?____

7. 2. Calculate the independent T-test for following data Mean of group 1____ Mean of group 2_____ SS of group 1_____ ss of group 2____ t:____ how many dF?___ critical value for t?___ Is t significant?____

8. 3. Calculate the independent T-test for following data t:____ dF____ What is the critical value for t (2 tailed, 0.05 alpha)___ Is t significant?___

9. A pooled variance t-test is used when you want to compare the means of two different groups to see if they're significantly different. You use it when: 1. The two groups have similar variances (spread of data). 2. The data in both groups are normally distributed. 3. You assume that both groups come from populations with the same variance. In simple terms, if you believe that the spread of scores in both groups is similar, you combine (or "pool") the variances and then test if the averages of the groups are significantly different.

10. Let's say you're a teacher and you want to know if two different teaching methods lead to different average test scores. Group 1: You have 20 students who used Teaching Method A. Group 2: You have 20 students who used Teaching Method B. You collected the test scores for both groups and now want to compare the average scores to see if Method A performs better than Method B. If you assume the variation in scores (how spread out the scores are) is roughly the same in both groups, you can use the pooled variance t-test to compare their means (average scores). If the test shows a significant difference, you might conclude that one teaching method leads to higher or lower scores than the other. In this case, you’re combining the variances from both groups into a "pooled" variance to perform the test.

11. State the research hypothesis State the null hypothesis Is this a one-tailed or two-tailed dF?___ if alpha is set at 0.05 what is the critical value? What is the t-value? Does the study support the research hypothesis?

12. State the research hypothesis State the null hypothesis Is this a one-tailed or two-tailed dF?___ if alpha is set at 0.05 what is the critical value? What is the t-value? Does the study support the research hypothesis?