he Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there are differences in the amount of computer anxiety experienced by students with different majors. They found the following: Major n Mean Marketing 19 44.37 Management 11 43.18 Other 14 42.21 Finance 45 41.80 Accountancy 36 37.56 MIS 47 32.21 (A) Complte the following ANOVA table: Source of Variation SS df MS F-ratio F-crit Between groups 3172 5 634.4 4.9567 2.2685 Within groups 21246 166 127.988 Total 24418 171 (A) At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety experienced by different majors? Answer: Since F-ratio > 2.2685, we reject the null hypothesis. Hence we conclude that there is difference in the mean (B) The results in (A) indicate that it is appropriate, use the Tukey-Kramer procedure to determine which majors differ in mean computer anxiety. Complete the table. Use q = 3.86 for all your calculations. Colum 2 is the absolute value if the difference, column 3 is the critical range, column 4 is the answer if there is significant or not. Marketing vs Management 1.19 11.70 No Marketing vs Other 2.16 10.88 No Marketing vs Finance 2.57 8.44 No Marketing vs Accountancy 6.81 8.76 No Marketing vs MIS 12.16 8.39 Yes Management vs Other 0.97 Management vs Finance 1.38 Management vs Accountancy 5.62 Management vs MIS 10.97 Other vs Finance 0.41 Other vs Accountancy 4.65 Other vs MIS 10.0 Finance vs Accountancy 4.24 6.90 No Finance vs MIS 9.59 6.44 Accountancy vs MIS 5.35 6.84 No The major(s) that differ in n mean computer anxiety :
he Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there are differences in the amount of computer anxiety experienced by students with different majors. They found the following:
Major n Mean
Marketing 19 44.37
Management 11 43.18
Other 14 42.21
Finance 45 41.80
Accountancy 36 37.56
MIS 47 32.21
(A) Complte the following ANOVA table:
| Source of Variation | SS | df | MS | F-ratio | F-crit |
| Between groups | 3172 | 5 | 634.4 | 4.9567 | 2.2685 |
| Within groups | 21246 | 166 | 127.988 | ||
| Total | 24418 | 171 |
(A) At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety experienced by different majors?
Answer: Since F-ratio > 2.2685, we reject the null hypothesis. Hence we conclude that there is difference in the mean
(B) The results in (A) indicate that it is appropriate, use the Tukey-Kramer procedure to determine which majors differ in mean computer anxiety. Complete the table. Use q = 3.86 for all your calculations. Colum 2 is the absolute value if the difference, column 3 is the critical
| Marketing vs Management | 1.19 | 11.70 | No |
| Marketing vs Other | 2.16 | 10.88 | No |
| Marketing vs Finance | 2.57 | 8.44 | No |
| Marketing vs Accountancy | 6.81 | 8.76 | No |
| Marketing vs MIS | 12.16 | 8.39 | Yes |
| Management vs Other | 0.97 | ||
| Management vs Finance | 1.38 | ||
| Management vs Accountancy | 5.62 | ||
| Management vs MIS | 10.97 | ||
| Other vs Finance | 0.41 | ||
| Other vs Accountancy | 4.65 | ||
| Other vs MIS | 10.0 | ||
| Finance vs Accountancy | 4.24 | 6.90 | No |
| Finance vs MIS | 9.59 | 6.44 | |
| Accountancy vs MIS | 5.35 | 6.84 | No |
The major(s) that differ in n mean computer anxiety :
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