# Mann-Whitney Test in Excel Using QI Macros

## When to Use the Mann-Whitney Test

A Mann-Whitney test (equivalent to Wilcoxon Rank Sum Test) compares the differences between two independent samples to determine if they differ in location.

**Note: **Excel does not do statistical tests of non-normal (i.e., not "bell shaped") data. QI Macros, adds this functionality with a set of of non-parametric test templates.

### Mann-Whitney Example

A professor wants to compare the grades of students who attended live lectures vs video-taped lectures. Scores of students attending video lectures is in column A; live lectures in column B.

To conduct a test using QI Macros he will:

- Click on QI Macros menu, Stat Templates and then Mann Whitney.
- Input the data for Sample 1 (Video Taped Lectures) into column A and the data for Sample 2 (Live Lectures) into column B.
- QI Macros will perform the calculations and display the results in columns C:G
- QI Macros will also interpret the results for you. Cell F7 indicates that we cannot reject the null hypothesis.

**Interpreting the Mann Whitney Test Results:** Since p (0.758) is greater than alpha (0.05) we cannot reject the null hypothesis that video instruction is as good as live instruction.

**Tip: **If you enter more than 50 rows of data, in either column A or B, make sure to extend the formulas found in both columns C and D. To do so, select cells C50 and D50. Then, click on the bottom-right corner of cell D50 and drag down to reflect the additional rows found in your data set (1). This will populate the additional rows with the necessary formulas (2).

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