Question 13

Some people claim that psychology is common sense. If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors. If it is not, then nonpsychology students should perform worse than psychology students. Psychology students typically predict outcomes withm= 75% accuracy. To test whether there is any difference between psychology and non psychology students, a sample of 15 nonpsychology students were tested and they predicted with aaccuracy. The. What is the 95% confidence interval for nonpsychology students? (this data is used in another question on this exam)

Group of answer choices

54.22 and 65.78%

55.25 and64.75

54.36 and 65.85%

69.22 and 80.78%

Question 14

Some people claim that psychology is common sense. If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors. If it is not, then nonpsychology students should perform worse than psychology students. Psychology students typically predict outcomes withm= 75% accuracy. To test whether there is any difference between psychology and non psychology students, a sample of 15 nonpsychology students were tested and they predicted with aaccuracy. The. Using the 95% confidence interval for nonpsychology students, what is your conclusion about their ability to predict the outcomes of experiments? (this data was used in another question on this quiz)

Group of answer choices

Cannot be determined

Nonpsychology students performed the same as the Psychology students

Nonpsychology students performed better than the psychology studentts

Nonpsychology students performed worse/less than the Psychology Students

Question 15

What is the tcrit value(s) for a two tail test at the alpha level at .01 when 25 participants are tested?

Group of answer choices

+/- 2.064

+/-2.797

cannot determine from the above

Question 16

t test was conducted nd the t_obtwas a negative value. How do you compare the t_obt to the t_crit?

Group of answer choices

Negative only means that the population mean is greater than the sample mean so take the absolute value of t and compare with the tcrit

Negative means that you automatically reject the Null hypothesis and then write up the interpretations.

There was something wrong with the calculation

If it's a negative number then it is always considered less than the table value

Question 17

Suppose that you had constructed from a sample data a 99 percent confidence interval about the sample mean. This means that

Group of answer choices

You are 99% sure that the interval contains the population mean

None are correct

Both are correct

the population mean has .95 probability of being in the interval

Question 18

t test was conducted and it was statistically significant at the p<.05. What possible error could you have made?

Group of answer choices

Possible Type II error: rejecting the null when it is trye

No error if I didn't have any calculation error

Possible Type I error; rejecting the null hypothesis when it is true

Either error is possible