In: Statistics and Probability
A hospital conducts a study of the waiting times in its emergency room. The hospital has a main campus nd three satellite locations. Management had a business objective of reducing waiting time for emergency room cases that did not require immediate attention.To study this, a random sample of 15 emergency room cases that did not require immediate attention at each location were selected on a particular day, and the waiting times (measured from check-in to when the patient was called into the clinic area) were collected.
a. At a 0.05 level of significance, is there evidence of a difference in the mean waiting times in the locations
b. If appropriate, determine which locations differ in mean waiting times
c. At the 0.05 level of significance, is there evidence of a difference in the variation in waiting time among the four locations?
Location_A | WaitTime |
1 | 120.080 |
1 | 81.900 |
1 | 78.790 |
1 | 63.830 |
1 | 79.770 |
1 | 47.940 |
1 | 79.880 |
1 | 48.630 |
1 | 55.430 |
1 | 64.060 |
1 | 64.990 |
1 | 53.820 |
1 | 62.430 |
1 | 65.070 |
1 | 81.020 |
2 | 30.750 |
2 | 61.830 |
2 | 26.400 |
2 | 53.840 |
2 | 72.300 |
2 | 53.090 |
2 | 27.670 |
2 | 52.460 |
2 | 10.640 |
2 | 53.500 |
2 | 37.280 |
2 | 34.310 |
2 | 66.000 |
2 | 8.990 |
2 | 29.750 |
3 | 75.860 |
3 | 37.880 |
3 | 68.730 |
3 | 51.080 |
3 | 50.210 |
3 | 58.470 |
3 | 86.290 |
3 | 62.900 |
3 | 44.840 |
3 | 64.170 |
3 | 50.680 |
3 | 47.970 |
3 | 60.570 |
3 | 58.370 |
3 | 30.400 |
4 | 54.050 |
4 | 38.820 |
4 | 36.850 |
4 | 32.830 |
4 | 52.940 |
4 | 34.130 |
4 | 69.370 |
4 | 78.520 |
4 | 55.950 |
4 | 49.610 |
4 | 66.400 |
4 | 76.060 |
4 | 11.370 |
4 | 83.510 |
4 | 39.170 |
Solution :
Using Excel<data<data analysis<anova one way
Here is the screenshot
Here is the output :
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Main | 15 | 1047.64 | 69.84267 | 331.3198 | ||
Satellite 1 | 15 | 618.81 | 41.254 | 375.976 | ||
Satellite 2 | 15 | 848.42 | 56.56133 | 205.3533 | ||
Satellite 3 | 15 | 779.58 | 51.972 | 408.2862 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 6312.444 | 3 | 2104.148 | 6.371691 | 0.000859 | 2.769431 |
Within Groups | 18493.09 | 56 | 330.2338 | |||
Total | 24805.54 | 59 |
a)
The hypothesis being tested is:
H0: µ1 = µ2 = µ3 = µ4
Ha: At least one means is not equal
Since the P-value is 0.001 which is less than the significance level 0.05. Thus, we reject the null hypothesis.
There is sufficient evidence to conclude that there is a significant difference between the mean waiting times at four locations.
b)
Groups | Average |
Main | 69.84267 |
Satellite 1 | 41.254 |
Satellite 2 | 56.56133 |
Satellite 3 | 51.972 |
There is a significant difference between mean waiting times of main and satellite 1 locations and between mean waiting times of main and satellite 3 locations.
c)
F-critical value for (3,56) is 2.7694
Since F(6.3717)>F critical value. We reject the null hypothesis. There is sufficient evidence in favor of significant differences among the variations in waiting times of four locations.
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