In: Statistics and Probability
There are three health clinics in Bangkok, Thailand, area. The following data show the number of outpatient surgeries performed on Monday, Tuesday, Wednesday, Thursday, and Friday at each hospital last week. At the 0.01 significance level, can we conclude there is a difference in the mean number of surgeries performed by hospital or by day of the week?
Number of Surgeries Performed | ||||
Day | St. Luke's | St. Vincent | Mercy | |
Monday | 45 | 31 | 28 | |
Tuesday | 26 | 35 | 19 | |
Wednesday | 21 | 35 | 24 | |
Thursday | 23 | 31 | 37 | |
Friday | 25 | 26 | 23 | |
Set up the null hypothesis and the alternate hypothesis.
For Treatment:
Null hypothesis
H0: µSt. Luke's = µSt. Vincent = µMercy
H0: µSt. Luke's ≠ µSt. Vincent ≠ µMercy
Alternate hypothesis
H1: Not all means are equal.
H1: All means are equal.
For blocks:
Null hypothesis
A. H0: µMon = µTue = µWed = µThu = µFri
B. H0: µMon ≠ µTue ≠ µWed ≠ µThu ≠ µFri
Choice A
Choice B
Alternate hypothesis
H1: All means are equal.
H1: Not all means are equal.
State the decision rule for 0.01 significance level. (Round your answers to 2 decimal places.)
For Treatment:
For blocks:
Complete the ANOVA table. (Round your SS, MS and F to 2 decimal places.)
What is your decision regarding the null hypothesis?
The decision for the F value (Treatment) at 0.01 significance is:
Reject H0
Do not reject H0
The decision for the F value (Block) at 0.01 significance is:
Reject H0
Do not reject H0
Can we conclude there is a difference in the mean number of surgeries performed by hospital or by day of the week?
For Treatment:
Null hypothesis
H0: µSt. Luke's = µSt. Vincent = µMercy
Alternate hypothesis
H1: Not all means are equal.
--
For blocks:
Null hypothesis
A. H0: µMon = µTue = µWed = µThu = µFri
Alternate hypothesis
H1: Not all means are equal.
--
Decision rule for 0.01 significance level:
For Treatment: Critical value , Fc = F.INV(0.01, 2, 8) = 8.65
For blocks: Critical value , Fc = F.INV(0.01, 4, 8) = 7.01
--
ANOVA table:
Anova: Two-Factor Without Replication | |||||
SUMMARY | Count | Sum | Average | Variance | |
Monday | 3 | 104 | 34.66667 | 82.33333 | |
Tuesday | 3 | 80 | 26.66667 | 64.33333 | |
Wednesday | 3 | 80 | 26.66667 | 54.33333 | |
Thursday | 3 | 91 | 30.33333 | 49.33333 | |
Friday | 3 | 74 | 24.66667 | 2.333333 | |
St. Luke's | 5 | 140 | 28 | 94 | |
St. Vincent | 5 | 158 | 31.6 | 13.8 | |
Mercy | 5 | 131 | 26.2 | 46.7 | |
ANOVA | |||||
Source of Variation | SS | df | MS | F | P-value |
Blocks | 188.27 | 4 | 47.07 | 0.88 | 0.518695 |
Treatment | 75.6 | 2 | 37.8 | 0.70 | 0.522979 |
Error | 429.73 | 8 | 53.72 | ||
Total | 693.6 | 14 |
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The decision for the F value (Treatment) at 0.01 significance is: Do not reject H0
--
The decision for the F value (Block) at 0.01 significance is: Do not reject H0