Henry Watson, Inc., a designer and installer of industrial signs, employs 120 pe
ID: 3180941 • Letter: H
Question
Henry Watson, Inc., a designer and installer of industrial signs, employs 120 people. The company recorded the type of the most recent visit to a doctor by each employee. A national assessment conducted in 2014 found that 58% of all physician visits were to primary care physicians, 12% to medical specialists, 14% to surgical specialists, and 16% to emergency departments. Test at the .01 significance level if Isaac employees differ significantly from the survey distribution. Here are their results:
Write a memo to Mr. Watson stating your conclusions. Do work in EXCEL.
Visit Type
Number of Visits
Primary care
71
Medical specialist
14
Surgical specialist
12
Emergency
Total
120
Visit Type
Number of Visits
Primary care
71
Medical specialist
14
Surgical specialist
12
Emergency
23Total
120
Explanation / Answer
Answer:
Henry Watson, Inc., a designer and installer of industrial signs, employs 120 people. The company recorded the type of the most recent visit to a doctor by each employee. A national assessment conducted in 2014 found that 58% of all physician visits were to primary care physicians, 12% to medical specialists, 14% to surgical specialists, and 16% to emergency departments. Test at the .01 significance level if Isaac employees differ significantly from the survey distribution. Here are their results:
Write a memo to Mr. Watson stating your conclusions. Do work in EXCEL.
Visit Type
Number of Visits
Primary care
71
Medical specialist
14
Surgical specialist
12
Emergency
23
Total
120
Goodness of Fit Test
observed
expected
O - E
(O - E)² / E
71
69.600
1.400
0.028
14
14.400
-0.400
0.011
12
16.800
-4.800
1.371
23
19.200
3.800
0.752
120
120.000
0.000
2.163
2.163
chi-square
3
df
0.5393
p-value
Chi square value at 0.01 level =11.345
Calculated chi square =2.163 < 11.345 the table value.
The null hypothesis is not rejected.
At the 1% level of significance, there is no evidence to conclude that Isaac employees differ significantly from the survey distribution.
Visit Type
Number of Visits
Primary care
71
Medical specialist
14
Surgical specialist
12
Emergency
23
Total
120
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