a \4 Datamore Company designs applications software for a number of large firms. A study is conducted to assess the satisfaction of these firms with the supplied software. Datamore decides to determine if the type of industry (Human Resources. Information Technology, Financial, and Insurance] is relevant to satisfaction. Additionally, the company would like to assess the abilities of its sales force [Britknee Phanshear, Megan Hearts, & Jessika Wahlstrom]. They send questionnaires out a number of companies in each of the industries in they do business and ask them to evaluate the company and their contact. The satisfaction scores are found below. IT FN IS BP MH JW HR 74 73 75 72 71 69 73 75 71 71 70 72 81 83 85 84 82 82 84 85 82 81 83 85 1. Write out the model statement for this analysis (assume an interaction model]. Be sure to properly define all variables and assumptions. [Industry (A) & Contact (B)] 2. Conduct the test for equal variance. [show all steps with both a test statistic, RR and conclusion] 3. Run the test for normality show all steps with both a test statistic, RR, and conclusion] 4. What is your final conclusion abou appropriateness of running ANOVA for this data? 5. Conduct the ANOVA for this data set and complete the following table. df MS Fobs Feritical Source Industry Contact Industry-Contact Error Total SS 716.125 0.250 5.750 57.500 779.625 6. State and test the hypotheses for the Industry-Contact [interaction] Effect. 7. State and test the hypotheses for the Industry Effect. 8. State and test the hypotheses for the Contact Effect. 9. Calculate the HSD that we would use to test the interaction effect. 10. Calculate the HSD that we would use to test the Industry Effect. 11. Calculate the HSD that we would use to test the Contact Effect. 12. Construct and include) the main effect and interaction plots. 13. Reviewing the answers in 6, 7, & 8 and your plots, what can you conclude about the satisfaction of the customers? 14. Based off (6.7.& 8) create the appropriate Grouping plot(s) below and summarize your results. [Note the calculations from 9, 10, & 11 above may be useful] a \4 Datamore Company designs applications software for a number of large firms. A study is conducted to assess the satisfaction of these firms with the supplied software. Datamore decides to determine if the type of industry (Human Resources. Information Technology, Financial, and Insurance] is relevant to satisfaction. Additionally, the company would like to assess the abilities of its sales force [Britknee Phanshear, Megan Hearts, & Jessika Wahlstrom]. They send questionnaires out a number of companies in each of the industries in they do business and ask them to evaluate the company and their contact. The satisfaction scores are found below. IT FN IS BP MH JW HR 74 73 75 72 71 69 73 75 71 71 70 72 81 83 85 84 82 82 84 85 82 81 83 85 1. Write out the model statement for this analysis (assume an interaction model]. Be sure to properly define all variables and assumptions. [Industry (A) & Contact (B)] 2. Conduct the test for equal variance. [show all steps with both a test statistic, RR and conclusion] 3. Run the test for normality show all steps with both a test statistic, RR, and conclusion] 4. What is your final conclusion abou appropriateness of running ANOVA for this data? 5. Conduct the ANOVA for this data set and complete the following table. df MS Fobs Feritical Source Industry Contact Industry-Contact Error Total SS 716.125 0.250 5.750 57.500 779.625 6. State and test the hypotheses for the Industry-Contact [interaction] Effect. 7. State and test the hypotheses for the Industry Effect. 8. State and test the hypotheses for the Contact Effect. 9. Calculate the HSD that we would use to test the interaction effect. 10. Calculate the HSD that we would use to test the Industry Effect. 11. Calculate the HSD that we would use to test the Contact Effect. 12. Construct and include) the main effect and interaction plots. 13. Reviewing the answers in 6, 7, & 8 and your plots, what can you conclude about the satisfaction of the customers? 14. Based off (6.7.& 8) create the appropriate Grouping plot(s) below and summarize your results. [Note the calculations from 9, 10, & 11 above may be useful]
