# Statistics for Health Science Majors

## Measures of Central Tendency

A measure of central tendency is a representative number that characterizes the "middleness" of an entire set of data. The three measures of central tendency are the mean, the median, and the mode.

### Mean

The most commonly used measure of central tendency is the mean - the arithmetic average of a group of scores, You are probably familiar with this idea. Use with the interval and ratio data. Cautions are not for the use with distributions with a few extreme scores.

## Finding the Mean using Python Mean()

### Example 1: Finding the Mean of Cholesterol values from a table using Python Mean()

### Median

Another measure of central tendency, the median, is used in situations in which the mean might not be representative of a distribution. The middle score in a distribution of scores are organized from the highest to the lowest, or lowest to highest. Use with ordinal, interval, and ratio data.

## Finding the Median using Python Median()

### Example 2: Finding the Median of Cholesterol values from a table using Python Median()

### Mode

The third measure of central tendency is the mode - the score in a distribution that occurs with the greatest frequency. Use with nominal, ordinal, interval, or ratio data. Cautions are not a reliable measure of central tendency.