A researcher is interested in whether mean weight loss differs between individua

Question

A researcher is interested in whether mean weight loss differs between individuals randomly assigned to one of four different diet and exercise interventions and if so, which interventions differ from each other (family wise = .05). Which one(s) of the following statistical methods could be used to answer these research questions?

      (a) Multiple t-tests for dependent samples with Bonferroni correction for

      (b) One-way analysis of variance without post hoc (multiple) comparisons

      (c) One-way analysis of variance with a multiple comparison procedure, such as Tukey's tests

      (d) Multiple t-tests for independent samples without any correction for level

Explanation / Answer

First we have to conduct an One-way ANOVA to check if

at least one mean differs from the others. If the null

hypothesis is rejected, i.e. if at least one of the mean differs

then we go for Tukey's test for pairwise comparisons to check

which two means differ.

Hence, Option (c) is the correct choice. (Ans).

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