a. the larger sample is more likely to reject the hypothesis and will produce a larger value for cohen's d

b. the larger sample is more likely to reject the hypothesis but the two samples will have the same value for cohen's d

c. the larger sample is less likely to reject the hypothesis and will produce a larger value for cohen's d

d. the larger sample is less likely to reject the hypothesis but the two samples will have the same value for cohen's d.

With this question, I read in my book that having a larger sample is more likely to reject the hypothesis. I believe that the answer is B because the values given are the same, thus the samples for Cohen's D would also be the same for the two samples. If the samples are from the sample population, then it would be a repeated measures design, thus the Cohen's D shouold be calculated Md/S. However I am not certain if this is the answer since in the question they gave M, and not Md.

2. in an independent measures hypothesis test, what must be true if t=0?

a. the two population means must be equal

b. the two sample means must be equal

c. the two sample variances must be equal

d. none of the choices are correct

With this question, I believe that none of the choices are correct, however whenever an answer is none of the above, I feel that it could be a trick question. I do know that in order for t to be closer to 0, the mean difference should be =0 since the formula for t is (M1-M2)-(mu1-mu2) / (s(m1-m2)

3. a research report describing the results from a REPEATED MEASURES T TEST states, "t(22)=1.71, p>.05". From this report you can conclude that the outcome of the hypothesis test was...

a. to reject the null hypothesis with a sample of n=23 participants

b. fail to reject the null hypothesis with a sample of n=23 participants

With this question, since it is a repeated measures exam, the df=n-1. Thus, 22+1 = 23 number of participants. I am confused about this question because I am unsure if its asking for a two tailed or one tailed. if t=1.71, and alpha is .05, and if it is one tailed, 1.717 is the critical region, thus rejecting the null hypothesis. However if it is a two tailed test, the critical region would be 2.074, thus fail the reject the null hypothesis. I dont understand how to observe if it is a one tailed test to look for for the critical region or a two tailed test.

4. True or False, two samples are selected from a population and a treatment is administered to the samples. If both samples have the same mean and the same variance, you are more likely to find a significant treatment effect with a sample of n=100 than with a sample of n=4.

This is also a releated measures design where where two samples are selected from a population. I think that if you were to find out the significant effect it would be to calculate cohen's D. However, I am unsure with the way this question is worded. I do know that the reduction in the effect size, increases the sample variance. (but in the question it states the variances are the same). I am confused. =\

Please help! If possible could you guys please shows the steps on how the answers are achieved? thank you so much in advance![/QUOTE]