Exam 13: When and Why Might I Need to Use Non-Parametric Statistics

You give participants a list of five different sports and ask them to rank order which they would prefer to watch, from most liked through to least. What type of data have you collected?

Imagine you are ranking data. You have four values of 8, which would have been ranked 6, 7, 8 and 9. What value would you give as the rank score for these four values of 8?

How would you evaluate normality for a repeated t test?

Imagine you are ranking data. You have three values of 12, which would have been ranked 2, 3 and 4. What value would you give as the rank score for these three values of 12?

You have run a study comparing two independent groups. For one of the groups the variance is calculated as 2. The following values represent possible variance scores for the other group. Which would suggest that the assumption of homogeneity of variance has NOT been violated?

You have collected reaction time data from 200 participants. If the data are normally distributed, how many would you expect to have scores within ± 2 SD around the mean?

You have collected a set of IQ scores from 500 participants. There are a few participants who got exceptionally high, or outlying, scores. How would you describe the distribution of this dataset?

You want to run an independent measure t test, but the data violate the assumption of homogeneity of variance. Which non-parametric equivalent should you use?

You have run a study comparing two independent groups. For one of the groups the variance is calculated as 3. The following values represent possible variance scores for the other group. Which would suggest that the assumption of homogeneity of variance has been violated?

You want to run a Pearson's correlation, but the data are not normally distributed. Which non-parametric equivalent should you use?