Statistics Minitab Assignment Example | Topics and Well Written Essays - 500 words

Statistics Minitab - Assignment Example Then analyse the variability in the designed experiment. Then the results would be interpreted. The paired-t test has been selected because we needed to test whether the two samples had difference means and if these differences were significant. We therefore needed to pair these two samples and test the differences at 95% confidence level. As can be seen, p > .05 therefore the differences are not significant. The chi-square analysis was run for the categorical values as were in the table. The chi-square tested the hypothesis that there is no association between caffeine consumption (column factors) and marital status (raw factors). The results show that the chi-square statistic was 51.656. The p value is < .001 which suggests that we reject the null hypothesis of no association between marital status and caffeine consumption in favour of the alternative that there is indeed an association between them. Thus, marital status affects caffeine consumption. The reason for this association could be attributed to the fact that we had more married participants in the sample and hence the results may be biased towards the same. As can be seen, there were 3029 married participants out of the 3888 participants in total. I recommend that to improve results, same number of samples should be selected from the marital status categories for the