Y | Hospital |
58 | 1 |
97 | 1 |
47 | 1 |
72 | 1 |
54 | 1 |
79 | 2 |
67 | 2 |
38 | 2 |
46 | 2 |
66 | 2 |
73 | 3 |
57 | 3 |
38 | 3 |
60 | 3 |
6 | 3 |
7 | 3 |
One-way ANOVA: Y versus Hospital
Source | DF | SS | MS | F | P |
Hospital (Between) | 2 | 1956 | 978 | 1.89 | 0.190 |
Error (Within | 13 | 6715 | 517 | ||
Total | 15 | 8671 |
S = 22.73 R-Sq = 22.56% R-Sq(adj) = 10.65%
The estimated P-value is 0.190 and less than 0.05 level of significance. Hence, there is no significant difference between the mean time of surgery at this three hospital at 0.05 level of significance.
The underlying assumption in this type of sampling method is that the variability within each group will be equal compared to variability between groups.
Question 12 1 points Save Answer xperimental drug for treatment of pain after surgery to a...
can you please solve those quations fast! please! thank you
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answer that i can understand well please
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photos for each question are all in a row
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sample selected ? We’re demographics collected ?
2. Is the sample representative of the target population? If
not how was the sample “improved “ to make the results more
reliable and valid?
3. What is the design of the study?
4. How were the human subjects protected ?
5. Were instruments used reliable and valid ? Did they measure
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