Human Interaction And Problem solving
Problem 1
| Training | Profit | Is there a relationship between hours of training and amount of profit per employee? | |
| 2 | 75 | ||
| 3 | 65 | ||
| 4 | 76 | ||
| 5 | 54 | ||
| 1 | 75 | ||
| 2 | 49 | ||
| 3 | 30 | ||
| 4 | 49 | ||
| 5 | 30 | ||
| 6 | 40 | ||
| 1 | 50 | ||
| 2 | 20 | ||
| 3 | 40 | ||
| 4 | 60 | ||
| 5 | 70 | ||
| 6 | 40 |
Problem 1 Answer
| Training | Profit | Is there a relationship between hours of training and amount of profit per employee? | |||||||||||||
| 2 | 75 | ||||||||||||||
| 3 | 65 | SUMMARY OUTPUT | |||||||||||||
| 4 | 76 | ||||||||||||||
| 5 | 54 | Regression Statistics | There is no relationship between hours of training and amount of profit per employee | ||||||||||||
| 1 | 75 | Multiple R | 0.1683601193 | (r [14] = .17, p > .05). | |||||||||||
| 2 | 49 | R Square | 0.0283451298 | Notice that running the regression and looking at the multiple r, or looking at the Pearson on the t-test give you the same correlation. | |||||||||||
| 3 | 30 | Adjusted R Square | -0.0410587895 | Remember, the df for the regression/Pearson is N-2. | t-Test: Paired Two Sample for Means | ||||||||||
| 4 | 49 | Standard Error | 1.666180294 | ||||||||||||
| 5 | 30 | Observations | 16 | Training | Profit | ||||||||||
| 6 | 40 | Mean | 3.5 | 51.4375 | |||||||||||
| 1 | 50 | ANOVA | Variance | 2.6666666667 | 309.0625 | ||||||||||
| 2 | 20 | df | SS | MS | F | Significance F | Observations | 16 | 16 | ||||||
| 3 | 40 | Regression | 1 | 1.1338051904 | 1.1338051904 | 0.4084082001 | 0.5330957594 | Pearson Correlation | -0.1683601193 | ||||||
| 4 | 60 | Residual | 14 | 38.8661948096 | 2.7761567721 | Hypothesized Mean Difference | 0 | ||||||||
| 5 | 70 | Total | 15 | 40 | df | 15 | |||||||||
| 6 | 40 | t Stat | -10.6958487157 | ||||||||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | P(T<=t) one-tail | 0.0000000102 | ||||||
| Intercept | 4.3044152342 | 1.3258636777 | 3.2464990984 | 0.005853328 | 1.4607204684 | 7.1481100001 | 1.4607204684 | 7.1481100001 | t Critical one-tail | 1.7530503557 | |||||
| Profit | -0.0156386923 | 0.024471084 | -0.639068228 | 0.5330957594 | -0.0681239475 | 0.0368465629 | -0.0681239475 | 0.0368465629 | P(T<=t) two-tail | 0.0000000205 | |||||
| t Critical two-tail | 2.1314495456 |
Problem 2
| Practice | Score | Is there a relationship between the amount of time that students practice statistics and their exam score? | |
| 2 | 60 | ||
| 3 | 70 | ||
| 4 | 80 | ||
| 5 | 90 | ||
| 6 | 90 | ||
| 7 | 95 | ||
| 8 | 97 | ||
| 9 | 98 | ||
| 10 | 99 | ||
| 10 | 100 |
Problem 2 Answer
| Practice | Score | Is there a relationship between the amount of time that students practice statistics and their exam score? | |||||||||||||
| 2 | 60 | t-Test: Paired Two Sample for Means | |||||||||||||
| 3 | 70 | SUMMARY OUTPUT | There is a relationship between amount of time practicing statistics and | ||||||||||||
| 4 | 80 | student performance, (r [8] = .93, p < .01). | Practice | Score | |||||||||||
| 5 | 90 | Regression Statistics | Mean | 6.4 | 87.9 | ||||||||||
| 6 | 90 | Multiple R | 0.9274655051 | Variance | 8.2666666667 | 186.1 | |||||||||
| 7 | 95 | R Square | 0.8601922631 | Observations | 10 | 10 | |||||||||
| 8 | 97 | Adjusted R Square | 0.842716296 | Pearson Correlation | 0.9274655051 | ||||||||||
| 9 | 98 | Standard Error | 1.1402683688 | Hypothesized Mean Difference | 0 | ||||||||||
| 10 | 99 | Observations | 10 | df | 9 | ||||||||||
| 10 | 100 | t Stat | -23.370660174 | ||||||||||||
| ANOVA | P(T<=t) one-tail | 0.0000000011 | |||||||||||||
| df | SS | MS | F | Significance F | t Critical one-tail | 1.8331129327 | |||||||||
| Regression | 1 | 63.9983043764 | 63.9983043764 | 49.2214398053 | 0.0001108777 | P(T<=t) two-tail | 0.0000000023 | ||||||||
| Residual | 8 | 10.4016956236 | 1.300211953 | t Critical two-tail | 2.2621571628 | ||||||||||
| Total | 9 | 74.4 | |||||||||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | ||||||||
| Intercept | -10.782195952 | 2.4754744376 | -4.3556078739 | 0.0024269198 | -16.4906502417 | -5.0737416623 | -16.4906502417 | -5.0737416623 | |||||||
| Score | 0.1954743567 | 0.0278620223 | 7.0157992991 | 0.0001108777 | 0.131224418 | 0.2597242954 | 0.131224418 | 0.2597242954 |