A university lecturer in History hypothesizes that more timestudying predicts better exam performance. Before the next exam,the lecture asks students in the class the average amount of time(in minutes) they spend in the library per day. The data are below.What can be concluded with α = 0.05?
| time | exam |
|---|
41
25
48
58
66
81
95
101
121
97
81
111 | 75
75
69
72
63
60
66
57
60
70
65
65 |
a) What is the appropriate statistic?
---Select--- na Correlation Slope Chi-Square
Compute the statistic selected above:Â Â
b) Compute the appropriate test statistic(s) tomake a decision about H0.
(Hint: Make sure to write down the null and alternative hypothesesto help solve the problem.)
Critical value =Â Â ; Test statistic =Â Â
Decision:Â Â ---Select--- Reject H0 Fail to reject H0
c) Compute the corresponding effect size(s) andindicate magnitude(s).
If not appropriate, input and/or select \"na\" below.
Effect size =Â Â ; Â Â ---Select--- na trivialeffect small effect medium effect large effect
d) Make an interpretation based on theresults.
Students who spend more time studying have better examperformance.Students who spend more time studying have worse examperformance.    Students time studying does notpredict exam performance.
