Essential Statistics for the Behavioral Sciences
2nd Edition
ISBN: 9781506386300
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 10, Problem 29PR
To determine
To find: Which mental health problem is significantly worse among the workers after the specified deployment.
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The Behavioral Risk Factor Surveillance System (BRFSS) is an annual telephone survey designed to identify risk factors in the adult population and reportemerging health trends. The following table summarizes two variables for the respondents: health status and health coverage, which describes whether each respondent had health insurance:
Health Status
Excellent
Very Good
Good
Fair
Poor
Total
Health
No
459
727
854
385
99
2524
Coverage
Yes
4198
6245
4821
1634
578
17476
Total
4657
6972
5675
2019
677
20000
If we draw one individual at random, what is the probability that the respondent has health coverage if they have good health?
Answer with a decimal rounded to 3 decimal places.
A cross-sectional study is conducted to investigate cardiovascular disease (CVD) risk factors among a sample of patients seeking medical care at one of three local hospitals. A total of 500500 patients are enrolled. Based on the following data, we would like to determine if there is a significant association between the family history of CVD and the enrollment site.
Enrollment Site
Family History of CVD
Hospital 1
Hospital 2
Hospital 3
Total
Yes
34
8
58
100
No
104
72
224
400
Total
138
80
282
500
Given:
The value of the test statistic is χ2= 6.912
Use α=0.1 as the level of significance.
The superintendent of Hospital 2 performed the Goodness of Fit Test to test whether 25% of the patients go to Hospital 1, 15% of the patients go to Hospital 2 and 60% of the patients go to Hospital 3.
Given: The superintendent found that the pp-value for the test is 0.25091
Let:
p1=p1= be the proportion of patients at Hospital 1
p2=p2= be the proportion of patients at…
In the book Business Research Methods (5th ed.), Donald R. Cooper and C. William Emory discuss studying the relationship between on-the-job accidents and smoking. Cooper and Emory describe the study as follows:
Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She interviews members of both groups to determine if they are smokers or not.
The sample results are given in the following table.
On-the-Job Accident
Smoker
Yes
No
Row Total
Heavy
12
5
17
Moderate
9
10
19
Nonsmoker
13
17
30
Column total
34
32
66
Expected counts are below observed counts
Accident
No Accident
Total
Heavy
12
5
17
8.76
8.24…
Chapter 10 Solutions
Essential Statistics for the Behavioral Sciences
Ch. 10 - Prob. 1FPCh. 10 - Prob. 2FPCh. 10 - Prob. 3FPCh. 10 - Prob. 4FPCh. 10 - Prob. 5FPCh. 10 - Prob. 6FPCh. 10 - Prob. 7FPCh. 10 - Prob. 8FPCh. 10 - Prob. 9FPCh. 10 - Prob. 10FP
Ch. 10 - Prob. 11FPCh. 10 - Prob. 12FPCh. 10 - Prob. 13CAPCh. 10 - Prob. 14CAPCh. 10 - Prob. 15CAPCh. 10 - Prob. 16CAPCh. 10 - Prob. 17CAPCh. 10 - Prob. 18CAPCh. 10 - Prob. 19CAPCh. 10 - Prob. 20CAPCh. 10 - Prob. 21CAPCh. 10 - Prob. 22CAPCh. 10 - Prob. 23CAPCh. 10 - Prob. 24CAPCh. 10 - Prob. 25CAPCh. 10 - Prob. 26CAPCh. 10 - Prob. 27CAPCh. 10 - Prob. 28CAPCh. 10 - Prob. 29PRCh. 10 - Prob. 30PRCh. 10 - Prob. 31PRCh. 10 - Prob. 32PRCh. 10 - Prob. 33PRCh. 10 - Prob. 34PR
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