The Larger the Effect Size, the Greater the Likelihood

question 70

Multiple Choice

The larger the effect size, the greater the likelihood

• A) of ignoring the null hypothesis
• B) of rejecting the null hypothesis
• C) of committing the Type 2 error
• D) that the population means are not significantly different

Know the assumptions and conditions specific to the sign test and the Wilcoxon tests, such as sample size requirements and data types.

Differentiate between the various nonparametric tests used for hypothesis testing, including their applications and limitations.

Understand and identify the scenarios where the Wilcoxon rank sum test and Wilcoxon signed rank sum test are appropriately applied.

Comprehend the calculation and interpretation of ranks in nonparametric tests.

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