Group 1 (Home) | Group 2 (OnSide Work) | |
Week 1 | 138 | 104 |
Week 2 | 102 | 94 |
Week 3 | 142 | 107 |
Week 4 | 120 | 110 |
Week 5 | 101 | 83 |
Group one works from home group two works at work
Hypothesis: working from home is more productive than working from work
How do you calculate standard deviation for each group?
How do you calculate the test statistic?
How do you calculate the degrees of freedom?
how do you calculate the P Value?
What is the alpha level?
The hypothesis being tested is:
H0: µ1 = µ2
H1: µ1 ≠ µ2
Group 1 (Home) | Group 2 (OnSide Work) | |
120.60 | 99.60 | mean |
19.31 | 11.06 | std. dev. |
5 | 5 | n |
8 | df | |
21.000 | difference (Group 1 (Home) - Group 2 (OnSide Work)) | |
247.550 | pooled variance | |
15.734 | pooled std. dev. | |
9.951 | standard error of difference | |
0 | hypothesized difference | |
2.110 | t | |
.0678 | p-value (two-tailed) |
The test statistic is 2.110.
The df is 8.
The p-value is 0.0678.
Since the p-value (0.0678) is greater than the significance level (0.05), we fail to reject the null hypothesis.
Therefore, we cannot conclude that µ1 ≠ µ2.
The alpha level is 0.05.
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