The management of Regional Hospital has made substantial improvements in their hospi and would like to test and determine whether there has been a significant decrease in the average length of stay of their patients in their hospital. The following data has been accumulated before and after the improvements. At the 5% level, test to determine if ther has been a significant reduction in the average length of stay. Sample size Mean (in days) Standard Deviation (0) a. Formulate the hypotheses. b. Compute the test statistic. After C. 75 4.7 0.38 Before 48 4.9 0.72 Using the p-value approach, test to see if there has been a significant reduction in the average length of stay. Let a = .10. d. What does the test result mean in the context of this problem?

A First Course in Probability (10th Edition)
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Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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The management of Regional Hospital has made substantial improvements in their hospital
and would like to test and determine whether there has been a significant decrease in the
average length of stay of their patients in their hospital. The following data has been
accumulated before and after the improvements. At the 5% level, test to determine if there
has been a significant reduction in the average length of stay.
Sample size
Mean (in days)
Standard Deviation (0)
a.
Formulate the hypotheses.
b. Compute the test statistic.
C.
d.
After
75
4.7
0.38
Before
48
4.9
0.72
Using the p-value approach, test to see if there has been a significant reduction in the
average length of stay. Let a = .10.
What does the test result mean in the context of this problem?
Transcribed Image Text:The management of Regional Hospital has made substantial improvements in their hospital and would like to test and determine whether there has been a significant decrease in the average length of stay of their patients in their hospital. The following data has been accumulated before and after the improvements. At the 5% level, test to determine if there has been a significant reduction in the average length of stay. Sample size Mean (in days) Standard Deviation (0) a. Formulate the hypotheses. b. Compute the test statistic. C. d. After 75 4.7 0.38 Before 48 4.9 0.72 Using the p-value approach, test to see if there has been a significant reduction in the average length of stay. Let a = .10. What does the test result mean in the context of this problem?
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