When computing individual confidence intervals using the t statistic,for all possible pairwise comparison of means,the experimentwise error rate will be:
A)Equal to α.
B)Less than α.
C)Greater than α.

Question

Quizplus · Accepted Answer

When computing multiple confidence intervals, the probability of making at least one Type I error increases, leading to an experimentwise error rate greater than α. This is known as the familywise error rate. To control for this, various methods such as Bonferroni correction or Tukey's HSD can be used to adjust the confidence interval width, resulting in a lower experimentwise error rate. However, if no adjustments are made, the experimentwise error rate will be greater than α.

When Computing Individual Confidence Intervals Using the T Statistic,for All