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How to Do Mann-Whitney U Test in Excel

When it comes to analyzing non-parametric data and comparing two independent samples, the Mann-Whitney U test is a valuable tool. This statistical test allows you to determine if there are significant differences between the distributions of two groups. While performing the test manually might be intricate, using Excel simplifies the process, enabling you to make data-driven decisions with ease.

Step 1: Combine and Rank the Data

Step 2: Calculate Sum of Ranks for Each Group

Sum the Ranks: In a new part of the spreadsheet, sum the ranks for each group separately. You can use the SUMIF function. For Group A, if your group identifiers are in column A and the ranks are in column D, the formula would look like =SUMIF($A$1:$A$n, “Group A”, $D$1:$D$n), assuming “Group A” is the identifier used.

Count the Number of Observations: Count the number of observations in each group using the COUNTIF function. For Group A, the formula would be =COUNTIF($A$1:$A$n, “Group A”).

Step 3: Calculate the U Statistic for Each Group

The U statistic for each group can be calculated using the formula:

U= R− (n(n+1)/2)


Enter the formula in Excel to calculate U for both groups.

Step 4: Determine the Smaller U Value

Compare the U values calculated for both groups and identify the smaller one. This is the value you will use to assess significance.

Step 5: Assess Significance

To determine whether the difference between groups is statistically significant, you will need to refer to a Mann-Whitney U Test table or use statistical software. The tables provide critical values based on sample size and desired significance level (usually 0.05). If your calculated U is less than or equal to the critical value from the table, the difference between groups is considered statistically significant.

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