c. mu_{(D)}>0
d. mu_{(D)<0
b. What is the alternative hypothesis?
a. mu_{(D)}=0
b. mu_{(D)}
eq0
c. mu_{(D)}>0
d. mu_{(D)}<0
Data:
able[[Action Movie,Horror Movie],[11,12],[15,18],[16,17],[20,21],[24,22],[25,23],[26,29],[13,16],[18,21],[19,23],[20,15],[24,25]]
c. What are your degrees of freedom?
d. What is the critical t value (from t table)?
e. What is the mean of the difference values?
f. What is the standard deviation of difference values?
g. What is the standard error?
h. What is the obtained t value?
i. What conclusion do you draw?
a. Reject the null hypothesis. Type of movie does have a significant effect on cortisol levels.
b. Fail to reject the null hypothesis. Type of movie does not have a significant effect on cortisol levels.
j. What is the estimated Cohen's d value?
k. Construct a 95% confidence interval for these data. We can be 95% confident that the true population mean difference lies between and.
What is the r^2 value? Please interpret this value in the context of the problem.
m. Please provide your iamovi results output that shows the test.