One way to deal with the problem of misleading P-values when performing more than one significance test is to adjust the criterion you use for statistical significance. The Bonferroni correction procedure for k independent hypothesis tests at an overall level of significance α requires conducting each individual test at the α/k level of significance. You perform 5 independent tests of significance and observe the following P-values: 0.0773, 0.0524, 0.0308, 0.0127, and 0.0098. Which of these tests are statistically significant using the Bonferroni correction procedure with α = 10%.
One way to deal with the problem of misleading P-values when performing more than one significance...