(b) For each cell in the above table, find the corresponding cell, row, and column percentages. (Round your answers to 2 decimal places.) Accident No Accident Heavy Cell = Cell = % Row = % Row = %...


(b) For each cell in the above table, find the corresponding cell, row, and column percentages. (Round your answers to 2 decimal<br>places.)<br>Accident<br>No Accident<br>Heavy<br>Cell =<br>Cell =<br>%<br>Row =<br>%<br>Row =<br>%<br>Column =<br>%<br>Column =<br>Moderate<br>Cell =<br>%<br>Cell =<br>%<br>Row =<br>%<br>Row =<br>%<br>Column =<br>%<br>Column =<br>Nonsmoker<br>Cell =<br>%<br>Cell =<br>Row =<br>%<br>Row =<br>%<br>Column =<br>%<br>Column =<br>%<br>(c) Use the Minitab output in the above to test the hypothesis that the incidence of on-the-job accidents is independent of smoking<br>habits. Set a= .01.<br>do not reject<br>HO.<br>

Extracted text: (b) For each cell in the above table, find the corresponding cell, row, and column percentages. (Round your answers to 2 decimal places.) Accident No Accident Heavy Cell = Cell = % Row = % Row = % Column = % Column = Moderate Cell = % Cell = % Row = % Row = % Column = % Column = Nonsmoker Cell = % Cell = Row = % Row = % Column = % Column = % (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. do not reject HO.
In the book Business Research Methods (5th ed.), Donald R. Cooper and C. William Emory discuss studying the relationship<br>between on-the-job accidents and smoking. Cooper and Emory describe the study as follows:<br>Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since<br>the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in<br>accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She<br>interviews members of both groups to determine if they are smokers or not.<br>The sample results are given in the following table.<br>On-the-Job Accident<br>Smoker<br>Heavy<br>Moderate<br>Yes<br>No<br>Row Total<br>12<br>17<br>9<br>13<br>34<br>10<br>19<br>30<br>Nonsmoker<br>17<br>Column total<br>32<br>66<br>Expected counts are below observed counts<br>Total<br>17<br>Accident No Accident<br>Нeavy<br>12<br>-5<br>8.76<br>8.24<br>10<br>9.21<br>Moderate<br>19<br>9.79<br>Nonsmoker<br>13<br>17<br>30<br>15.45<br>14.55<br>32<br>Total<br>34<br>66<br>Chi-Sq = 3.41, DF = 2, P-Value = 0.182<br>(a) For each row and column total in the above table, find the corresponding row/column percentage. (Round your answers to 2<br>decimal places.)<br>Row 1<br>14.55 %<br>Row 2<br>%<br>%<br>Row 3<br>Column 1<br>Column 2<br>%<br>

Extracted 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 Accident Smoker Heavy Moderate Yes No Row Total 12 17 9 13 34 10 19 30 Nonsmoker 17 Column total 32 66 Expected counts are below observed counts Total 17 Accident No Accident Нeavy 12 -5 8.76 8.24 10 9.21 Moderate 19 9.79 Nonsmoker 13 17 30 15.45 14.55 32 Total 34 66 Chi-Sq = 3.41, DF = 2, P-Value = 0.182 (a) For each row and column total in the above table, find the corresponding row/column percentage. (Round your answers to 2 decimal places.) Row 1 14.55 % Row 2 % % Row 3 Column 1 Column 2 %
Jun 09, 2022
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