Statistical tests reveal key differences in data for informed decision-making.
The article discusses different tests used to find differences between groups in scientific studies. These tests involve creating confidence intervals or calculating ratios. If the calculated statistic is higher than a critical value, the hypothesis is rejected. Tests covered include t-tests, analysis of variance, and tests for dichotomous proportions. Nonparametric tests are available if the criteria for these tests are not met. The article also includes applications of Minitab to conduct these tests.