In order to understand the differences between the mean, median and mode, let?s start by defining the terms.
- The mean is the arithmetic average of a set of given numbers.
- The median is the middle score in a set of given numbers.
- The mode is the most frequently occurring score in a set of given numbers.
Calculating the Mean
The mean, or average, is calculated by adding up the scores and dividing the total by the number of scores.
Consider the following number set: 3, 4, 6, 6, 8, 9, 11. The average is calculated in the following manner: 3 + 4 + 6 + 6 + 8 + 9 + 11 =47 / 7 = 6.7. So the average of the number set is 6.7.
Calculating the Median
The median is the middle score of a distribution. Consider this set of numbers: 5, 7, 9, 9, 11. Since you have an odd number of scores, the median would be 9.
Now, what happens when you have an even number of scores so there is no single middle score. Consider this set of numbers: 1, 2, 2, 4, 5, 7. Since there are an even number of scores, you need to take the average of the middle two scores. By average, I mean calculating the mean.
Remember, the mean is calculated by adding the scores together and then dividing by the number of scores you added. In this case, the mean would be 2 + 4 (add the two middle numbers), which equals 6. Then, you take 6 and divide it by 2 (the total number of scores you added together), which equals 3. So, for this example, the median is 3.
Calculating the Mode
Since the mode is the most frequently occurring score in a distribution, simply select the most common score as your mode. Consider the following number distribution of 2, 3, 6, 3, 7, 5, 1, 2, 3, 9. The mode of these numbers would be 3, since three is the most frequently occurring number. In cases where you have a very large number of scores, creating a frequency distribution can be helpful in determining the mode.
In some number sets, there may actually be two modes. This is known as bi-modal distribution and it occurs when there are two numbers that are tied in frequency. For example, consider the following set of numbers: 13, 17, 20, 20, 21, 23, 23, 26, 29, 30. In this set, both 20 and 23 occur twice.
If no number in a set occurs more than once, then there is no mode for that set of data.
Applications of the Mean, Median or Mode
So how do you determine whether to use the mean, median or mode? Each measure of central tendency has its own strengths and weaknesses, so the one you choose to use may depend largely on the unique situation and how you are trying to express your data.
- The mean utilizes all numbers in a set to express the measure of central tendency; however, outliers can distort the overall measure.
- The median gets rid of disproportionately high or low scores, but it may not adequately represent the full set of numbers.
- The mode may be less influenced by outliers and is good at representing what is "typical" for a given group of numbers, but may be useless in cases where no number occur more than once.
Imagine a situation where a real estate agent want a measure of the central tendency of homes she has sold in the last year. She makes a list of all of the totals:
- $75,000
- $75,000
- $150,000
- $155,000
- $165,000
- $203,000
- $750,000
- $755,000
The mean for this group is $291,000, the median is $160,000 and the mode is $75,000. Which would you say is the best measure of central tendency of the set of sales numbers? If she wants the highest number, the mean is clearly the best option even though the total is skewed by the two very high numbers. The mode, however, would not be a good choice because it is disproportionately low and not a good representation of her sales for the year. The median, on the other had, seems to be a fairly good indicator of the "typical" sales prices of her real estate listings.
_{}_{References}
_{Hogg, R. V. and Craig, A. T. (1995). Introduction to Mathematical Statistics, 5th ed. New York: Macmillan.}
_{Aerd Statistics. (n.d.). Measures of central tendency. Found online at http://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median.php}
_{Weisstein, Eric W. Statistical median. From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/StatisticalMedian.html}