In: Statistics and Probability
The data in this file are the differences in the productivity of workers measured before and after they undertake a training program.
| x |
| 3.483286 |
| 0.502139 |
| 1.182506 |
| -0.78977 |
| -1.23055 |
| 0.050956 |
| -0.55935 |
| -0.44297 |
| -0.28723 |
| -2.20755 |
| -1.29574 |
| -2.37856 |
| 1.590792 |
| -1.07265 |
| -0.51803 |
| 0.88382 |
| -1.20074 |
| -0.37303 |
| 0.046192 |
| 0.178191 |
| 3.011939 |
| 0.370306 |
| -1.16088 |
| 0.896363 |
| 0.921949 |
| -0.79235 |
| -0.65858 |
| 1.442165 |
| 1.291734 |
| -1.19235 |
| 0.77025 |
| 0.130772 |
| 0.170839 |
| 0.424066 |
| 0.144973 |
| -2.14435 |
| 0.925843 |
| 2.61098 |
| 1.358568 |
| 1.635042 |
| -0.39504 |
| 0.493437 |
| -0.12331 |
| -1.35487 |
| 0.336548 |
| -2.47492 |
| -2.26872 |
| -0.25936 |
| -0.54652 |
| 1.104589 |
| -0.39521 |
| 3.072957 |
| 1.835252 |
| -1.30094 |
| 2.040434 |
| 2.496305 |
| 0.567188 |
| 0.268885 |
| 2.94741 |
| -0.68594 |
| 0.456223 |
| 3.001556 |
| 0.13461 |
| 1.583389 |
| -2.45525 |
| 0.400895 |
| -0.47353 |
| 0.125818 |
| 1.759114 |
| -1.28538 |
| 1.848862 |
| 1.660223 |
| 1.305507 |
| -0.90777 |
| 0.613334 |
| 1.93013 |
| -0.65393 |
| 1.430928 |
| 0.788061 |
| 0.914506 |
| -0.43457 |
| -0.30062 |
| 1.352496 |
| 0.585404 |
| 0.425084 |
| 1.503991 |
| 1.308418 |
| 0.96236 |
| 1.012683 |
| -1.09146 |
| 0.990711 |
| -1.1824 |
| -2.12897 |
| -1.1366 |
| 1.619349 |
| 1.026202 |
| -1.49041 |
| -1.53156 |
| -1.11697 |
| -1.00746 |
In your answer, you should state the null and alternative hypotheses, the significance level, the PDF of the test statistic under the null hypothesis, the value of the test statistic, the p-value, and your conclusion.
a) 0.20 approximately is the p-value for the null hypothesis that the training program makes no difference to productivity.
b) No, we accept the null hypothesis using a significance level of 10% and a two-sided alternative hypothesis.
c) The following image explains all,


