Required Calculate the missing Expected Count corresponding to job satisfaction of Very Satisfied and a salary range
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Calculate the missing Expected Count corresponding to job satisfaction of "Very Satisfied" and a salary range of "<45k" (correct to 2 decimal places).
Calculate the missing Chi-square component corresponding to job satisfaction of "Very Satisfied" and a salary range of ">120k" (correct to 2 decimal places)
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A big company surveyed 960 of their employees. Among the questions asked was a question about job satisfaction (with possible answers "Very Dissatisfied", "Little Dissatisfied", "Moderate Satisfied" and "Very Satisfied") and annual salary range (with possible answers "< 45k", "45k-75k", "75k-120k", ">120k"). An analyst checks to see if there is an association between salary range and job satisfaction, using a x² test for independence. Below is the output from the analysis (with some parts deleted). > Table Salary < 45k 45-75k 75k-120k >120k > .Test <- chisq.test(.Table, correct = FALSE) > . Test Satisfaction Very Dissatisfied Little Dissatisfied Moderate Satisfied Very Satisfied 100 100 140 90 Pearson's Chi-squared test Salary data: . Table X-squared = 59.655, df = 9, p-value = 1.562e-09 10 20 10 0 < 45k 45-75k 75k-120k >120k Salary > round (. Test$expected, 3) Satisfaction Very Dissatisfied Little Dissatisfied Moderate Satisfied Very Satisfied ??? ??? ??? 98.542 147.812 94.062 > round (.Test$residuals^2, 2) Satisfaction < 45k 45-75k 75k-120k >120k 8.333 9.167 13.750 8.750 30 30 60 10 0.33 12.80 # 1.02 8.75 # Counts # Expected Counts 27.083 29.792 44.688 28.438 Chi-square Components Very Dissatisfied Little Dissatisfied Moderate Satisfied Very Satisfied 1.21 3.00 0.02 1.89 0.41 0.11 0.18 ??? 0.31 0.00 5.25 11.95 60 70 120 110 The following hypotheses have been used to perform this test: Ho: Job satisfaction and salary range are not associated. H₁: Job satisfaction and salary range are associated. 123.75 78.75 A big company surveyed 960 of their employees. Among the questions asked was a question about job satisfaction (with possible answers "Very Dissatisfied", "Little Dissatisfied", "Moderate Satisfied" and "Very Satisfied") and annual salary range (with possible answers "< 45k", "45k-75k", "75k-120k", ">120k"). An analyst checks to see if there is an association between salary range and job satisfaction, using a x² test for independence. Below is the output from the analysis (with some parts deleted). > Table Salary < 45k 45-75k 75k-120k >120k > .Test <- chisq.test(.Table, correct = FALSE) > . Test Satisfaction Very Dissatisfied Little Dissatisfied Moderate Satisfied Very Satisfied 100 100 140 90 Pearson's Chi-squared test Salary data: . Table X-squared = 59.655, df = 9, p-value = 1.562e-09 10 20 10 0 < 45k 45-75k 75k-120k >120k Salary > round (. Test$expected, 3) Satisfaction Very Dissatisfied Little Dissatisfied Moderate Satisfied Very Satisfied ??? ??? ??? 98.542 147.812 94.062 > round (.Test$residuals^2, 2) Satisfaction < 45k 45-75k 75k-120k >120k 8.333 9.167 13.750 8.750 30 30 60 10 0.33 12.80 # 1.02 8.75 # Counts # Expected Counts 27.083 29.792 44.688 28.438 Chi-square Components Very Dissatisfied Little Dissatisfied Moderate Satisfied Very Satisfied 1.21 3.00 0.02 1.89 0.41 0.11 0.18 ??? 0.31 0.00 5.25 11.95 60 70 120 110 The following hypotheses have been used to perform this test: Ho: Job satisfaction and salary range are not associated. H₁: Job satisfaction and salary range are associated. 123.75 78.75
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Related Book For
Essentials of Statistics for Business and Economics
ISBN: 978-1305081598
7th edition
Authors: David Anderson, Thomas Williams, Dennis Sweeney, Jeffrey Cam
Posted Date:
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