7) Consider the computer output shown below: One-Sample T:Y Test of mu =91 vs. not = 91 Variable Mean Std. Dev. SE Mean 95% CI 25 92.5805 (91.6160, ? ) 0.4675 3.38 0.002 (a) Fill in the missing values in the output. Can the null hypothesis be rejected at the 0.05 level? Why? (b) Is this a one-sided or two-sided test?
7) Consider the computer output shown below: One-Sample T:Y Test of mu =91 vs. not = 91 Variable Mean Std. Dev. SE Mean 95% CI 25 92.5805 (91.6160, ? ) 0.4675 3.38 0.002 (a) Fill in the missing values in the output. Can the null hypothesis be rejected at the 0.05 level? Why? (b) Is this a one-sided or two-sided test?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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
Transcribed Image Text:7) Consider the computer output shown below:
One-Sample T:Y
Test of mu =91 vs. not = 91
Variable
Mean
Std. Dev.
SE Mean
95% CI
25
92.5805
(91.6160, ? )
0.4675
3.38
0.002
(a) Fill in the missing values in the output. Can the null hypothesis be rejected at the 0.05
level? Why?
(b) Is this a one-sided or two-sided test?
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