[Solution] Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful?
Question: Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?
Deliverable: Word Document 
![[See Solution] For each of the following](/images/solutions/MC-solution-library-74011.jpg "[See Solution] For each of the following parametric tests, identify")
[See Solution] For each of the following parametric tests, identify
![[All Steps] The non-parametric version of the](/images/solutions/MC-solution-library-74012.jpg "[All Steps] The non-parametric version of the dependent t test")
[All Steps] The non-parametric version of the dependent t test
![[Steps Shown] The non-parametric version of the](/images/solutions/MC-solution-library-74013.jpg "[Steps Shown] The non-parametric version of the independent t")
[Steps Shown] The non-parametric version of the independent t
![[Steps Shown] The non-parametric version of the](/images/solutions/MC-solution-library-74014.jpg "[Steps Shown] The non-parametric version of the single factor ANOVA")
[Steps Shown] The non-parametric version of the single factor ANOVA
(Step-by-Step) Exploratory Data Analysis. Perform exploratory
Unpooled Standard Error Calculator - MathCracker.com