The video tutorial explains the Mann Whitney U test, a non-parametric test used to assess differences in ordinal data with an independent measures design. It provides an example using a directional hypothesis about gender differences in aggression scores. The tutorial details the formula components, data ranking, and calculation of U values. It concludes with interpreting results, highlighting the significance of findings and rejecting the null hypothesis.

What type of hypothesis is used when predicting that one gender will score higher than the other on a questionnaire?

• Alternative hypothesis

• Null hypothesis

• Directional hypothesis

• Non-directional hypothesis

In the Mann Whitney U test formula, what does 'N1' represent?

• The sum of ranks for condition 1

• The critical value

• The number of participants in condition 1

• The Mann Whitney statistic

What is the first step in analyzing ordinal data for the Mann Whitney U test?

• Calculate the U value

• Determine the critical value

• Sum the ranks

• Rank the data

How do you determine which U value to use in the Mann Whitney U test?

• Use the smaller U value

• Use the U value closest to zero

• Use the average of the two U values

• Use the larger U value

What conclusion can be drawn if the calculated U value is less than the critical value in a one-tailed test?

• The data is not ordinal

• The test is inconclusive

• Reject the null hypothesis

• Accept the null hypothesis