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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 Heavy Moderate Nonsmoker 16 Column total 34 Heavy Moderate Nonsmoker Yes 12 6 Total No 7 Accident 12 9.79 6 Row 1 Row 2 Row 3 Column 1 Column 2 9 Expected counts are below observed counts No Accident 7 9.21 9 7.27 16 15.52 32 16 32 Row Total 7.73 16 16.48 34 66 Chi-Sq= 1.86, DF = 2, P-Value = 0.395 % % *** (a) For each row and column total in the above table, find the corresponding row/column percentage. (Round your answers to 2 decimal places.) 19 15 32 66 % % Total 19 % 15 32

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 Heavy Moderate Nonsmoker 16 Column total 34 Heavy Moderate Nonsmoker Yes 12 6 Total No 7 Accident 12 9.79 6 Row 1 Row 2 Row 3 Column 1 Column 2 9 Expected counts are below observed counts No Accident 7 9.21 9 7.27 16 15.52 32 16 32 Row Total 7.73 16 16.48 34 66 Chi-Sq= 1.86, DF = 2, P-Value = 0.395 % % *** (a) For each row and column total in the above table, find the corresponding row/column percentage. (Round your answers to 2 decimal places.) 19 15 32 66 % % Total 19 % 15 32

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
Section: Chapter Questions
Problem 14CR
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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 No 7 Smoker Heavy Moderate Nonsmoker 16 Column total 34 Heavy Moderate Yes Nonsmoker Total 12 6 Expected counts are below observed counts No Accident Total 19 7 9.21 9 Row 1 Row 2 Row 3 Column 1 Column 2 16 32 Accident 12 9.79 6 Accident Row Total 7.27 16 15.52 32 7.73 16 16.48 34 66 Chi-Sq = 1.86, DF = 2, P-Value = 0.395 19 15 32 66 15 32 (a) For each row and column total in the above table, find the corresponding row/column percentage. (Round your answers to 2 decimal places.) 96 96 96 %6 96
Transcribed Image Text: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 No 7 Smoker Heavy Moderate Nonsmoker 16 Column total 34 Heavy Moderate Yes Nonsmoker Total 12 6 Expected counts are below observed counts No Accident Total 19 7 9.21 9 Row 1 Row 2 Row 3 Column 1 Column 2 16 32 Accident 12 9.79 6 Accident Row Total 7.27 16 15.52 32 7.73 16 16.48 34 66 Chi-Sq = 1.86, DF = 2, P-Value = 0.395 19 15 32 66 15 32 (a) For each row and column total in the above table, find the corresponding row/column percentage. (Round your answers to 2 decimal places.) 96 96 96 %6 96
(b) For each cell in the above table, find the corresponding cell, row, and column percentages. (Round your answers to 2 decimal places.) Heavy Moderate Nonsmoker do not reject Reject Cell = Row= Column= Cell = Row= Column= Cell = Row= Column= Conclude there is Accident HO. 96 %6 96 96 no difference %6 96 %6 96 %6 difference Cell = Row= Column= |Cell = Row= Column= Cell = Row= Column= No Accident (c) Use the Minitab output in the above to test the hypothesis that the incidence of on-the-job accidents is independent of smoking habits. Set a = .01. 96 %6 %6 (d) Is there a difference in on-the-job accident occurrences between smokers and nonsmokers? between smokers and nonsmokers. %6 %6 %6 96
Transcribed Image Text:(b) For each cell in the above table, find the corresponding cell, row, and column percentages. (Round your answers to 2 decimal places.) Heavy Moderate Nonsmoker do not reject Reject Cell = Row= Column= Cell = Row= Column= Cell = Row= Column= Conclude there is Accident HO. 96 %6 96 96 no difference %6 96 %6 96 %6 difference Cell = Row= Column= |Cell = Row= Column= Cell = Row= Column= No Accident (c) Use the Minitab output in the above to test the hypothesis that the incidence of on-the-job accidents is independent of smoking habits. Set a = .01. 96 %6 %6 (d) Is there a difference in on-the-job accident occurrences between smokers and nonsmokers? between smokers and nonsmokers. %6 %6 %6 96
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