dont need

1. For a research study comparing two treatment conditions, a repeated-measure design would require two scores for each participant but an independent-measures design would require only one score for each participant True False

2. For a one-sample t-test, If the 90% the confidence interval for μ from 40 to 50, then the sample mean is M = 45. True False

The researcher is testing the effect of a new cold and flu medication on mental alertness. A sample of n = 9 college students is obtained and each student is given the normal dose of the medicine. Thirty minutes later, each student’s performance is measured on a video game that requires careful attention and quick decision making. The scores for the nine students are as follows: 6, 8, 10, 6, 7, 13, 5, 5, 3. Assuming that scores for students in the regular population average μ = 10, are the data sufficient to conclude that the medication has a significant effect on mental performance? Use a one-sample t-test with a level of .05 (2-tail) to analyze this data and answer the following questions.

● What was your s2 (variance) & sM (standard error of the mean.) ● What is your t? ● Is your t significant at the .05 level or not? ● If significant what is the effect size using Cohens d. ● What can you conclude from your results as to whether or not this drug had an effect on

mental performance?

For this problem you do not have to show your work just give the answers for - A., B., C., D., & E.

Was there a significant difference in performance on Exam I between the Fall class of 2013 & the Spring class of 2020. Use the independent t-test and answer the following questions.

● What was your s2 p (pooled variance) & s(M1 -M2) (standard error of the mean difference)

● What is your t? ● Is your t significant at .05 level (2 tail) or not? ● If significant what is the effect size using Cohen’s d? ● What can you conclude about the class performance class of Fall 2013 compared to the Spring

class of 2020? For this problem, you do not have to show your work, just answer the questions there are 11 students in the 2013 class and 17 students in the 2020 class.

F2 01

3

S2 02

0

75 65

65 85

45 60

65 70

45 55

90 45

80 60

85 55

75 85

50 80

85 85

70

60

40

65

50

60

1. Two separate samples, each with n = 10 scores, will produce an independent-measure t statistic with df = 19. True False

A psychologist for NASA examines the effect of cabin temperature on reaction time. Using a random

sample of 10 astronauts. Each person reaction time is measured at 70o F and again the next day at 950

F. Is there a significant difference between these two conditions (set at .05 level, 2 tail) using the correlated t-test. These two samples come from the same set of individuals. Answer the following question.

A. What is your s2 (variance) & what is your sMD (standard error of the mean difference)?

B. What is your t?

C.. Is your t significant at .05 level (2 tail) or not?

D. If significant what is the effect size using Cohen’s d?

E. What can you conclude about temperature and its effect on reaction time for astronauts?

For this problem you do not have to show your work just give the answers for - A., B., C., D., & E.

70o F 95o F

180 190

176 201

204 220

216 240

194 217

183 206

207 228

229 255

231 245

210 228

1. For a one-sample t-test, if other factors are held constant, as the sample variance increases, the estimated standard error decreases. True False