How is Mode like your Commode? (#65)


How is Mode like your Commode?

In elementary school my math teacher would ask us “What is the most used object in your home? Your commode (toilet)!” Your commode aka “mode” of a data set is the number you most often see.

Let’s say you look at a group of data on a graph. There may be some outlying data points, but the cluster of data points will most often focus around one data value or area. This is what we would call Central Tendency. A definition of Central Tendency is the central (typical) value of a probability distribution. You would use Central Tendency when determining what the central value of a group of data would be.

Reflecting back to fond memories (just kidding) of grade school math, you’ll remember that there are three basic values used to teach students about groups of numbers. In Six Sigma, we use these values to measure Central Tendency. These measurements are:

Mean; the sum of all the numbers in the data set divided by the amount of numbers represented.

Median; the very middle number of the data set (if there are two middle numbers, the median value would be the average of the two numbers).

Mode; the number most represented in the data set.

Today, I want to talk to you about your commode, I mean Mode of Distribution 😊.

As we found earlier, our mode is the value most often represented within a set of data (Central Tendency). If there are two different numbers that are equally represented, we would call the representation “Bi-modal.” Check out some examples below.

Data Set #1

1, 3, 5, 7, 7, 9, 11, 13

Mode: 7

Data Set # 2

2, 4, 6, 6, 8, 10, 10, 12

Bi-modal: 6, 10



Why should you use Mode to measure Central Tendency?

Not all sets of data will be the same. Using mode to determine Central Tendency is helpful when your data set is more than one cluster (multi modal), biased or extremely skewed, or it is mandatory to dispose of outlying data.

Let us know about your experience using Mode as a Measure of Central Tendency! We would love to hear from you!

About Six Sigma Development Solutions, Inc.
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