Interpret the key results for Tally

Complete the following steps to interpret the results from this analysis. The 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 included in the 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.

Tally
Size
Count
Percent
CumCnt
CumPct
 
 
 
Key Results: Count, Percent, and N

In these results, 107 drink orders are summarized by the size of the drink. The tall size was ordered most frequently, with 61 orders, or 57.0093% of all the orders. The short size beverage was ordered least frequently, with only 9 orders, or 8.4112% of the total.

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 Column properties.

Tally
Size
Count
Percent
CumCnt
CumPct
 
 
 
Key Results: CumCnt and CumPct

In these results, 86, or 80.3738% of all drink orders are the short, tall, or grande size.

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