# Interpret the key results for Tally Individual Variables

Complete the following steps to interpret a tally analysis. Key output includes counts, percents, cumulative counts, cumulative percents, and the sample size.

## Step 1. Determine the unique values and the number of times each unique value occurs

First, you can examine the list of unique values that are included in each column of data. This list can be useful if you did not know all the possible data values. You can also use the list to identify data-entry errors.

The count represents the number of times each unique value occurs. The percent represents the percent contribution for each category. Minitab also displays N, which is the number of non-missing observations in the sample. If the column contains any missing observations, Minitab also displays their count.

## Step 2. Determine the cumulative count or percent for each unique value

Use cumulative counts and cumulative percents to determine the cumulative contribution for multiple values in your data. The cumulative count is the number of occurrences of the unique value plus the number of occurrences of all preceding values. The cumulative percent is the percent of the unique value plus the percents of all preceding values.
###### Note

When you use cumulative counts and percents, you should confirm that the sequential order of the values in the table is appropriate. By default, Minitab lists the values in alphabetical order. To change the value order, go to Change the display order of text values in Minitab output.

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