Researchers surveyed a random sample of 18 students representing three different programs of study to determine whether students get enough sleep each night. Are the differences in hours of sleep per night across Arts, Science, and Business students statistically significant? Conduct a hypothesis test to see. Follow the five-step model with an alpha level of 0.05. Make sure to go through each step and interpret the results in terms of the research question above. Round to twoplaces past the decimal in your calculations.
Hours of Sleep per Night |
Preliminary Calculations |
||||||||
Arts |
Sciences |
Business |
Arts |
Sciences |
Business |
||||
5 |
7 |
8 |
Ex |
39 |
36 |
42 |
|||
6 |
5 |
7 |
xk |
6.5 |
6 |
7 |
|||
8 |
4 |
8 |
Exk(squared) |
259 |
228 |
302 |
|||
7 |
5 |
6 |
nk |
6 |
6 |
6 |
|||
7 |
8 |
5 |
|||||||
6 |
7 |
8 |
No need to square the values. Already done in the Preliminary table, so use these values
The hypothesis being tested is:
H0: µ1 = µ2 = µ3
Ha: Not all means are not equal
Arts | Sciences | Business | |||
5 | 7 | 8 | |||
6 | 5 | 7 | |||
8 | 4 | 8 | |||
7 | 5 | 6 | |||
7 | 8 | 5 | |||
6 | 7 | 8 | |||
Mean | n | Std. Dev | |||
6.5 | 6 | 1.05 | Arts | ||
6.0 | 6 | 1.55 | Sciences | ||
7.0 | 6 | 1.26 | Business | ||
6.5 | 18 | 1.29 | Total | ||
ANOVA table | |||||
Source | SS | df | MS | F | p-value |
Treatment | 3.00 | 2 | 1.500 | 0.88 | .4342 |
Error | 25.50 | 15 | 1.700 | ||
Total | 28.50 | 17 |
The p-value is 0.4342.
Since the p-value (0.4342) is greater than the significance level (0.05), we cannot reject the null hypothesis.
Therefore, we cannot conclude that there is a difference in hours of sleep per night across the groups.
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