What do the values of the mean, median and mode indicate? Explain

The mean, median, and mode are measures of central tendency in statistics that describe the center point of a data set.

1. Mean: The mean, often referred to as the average, is calculated by adding all the numbers in the data set and then dividing by the number of values in that set. The mean is sensitive to extremely large or small values (outliers), which can skew the result.

2. Median: The median is the middle value in a data set when the numbers are arranged in ascending or descending order. If the data set has an even number of observations, the median is the average of the two middle numbers. The median is not affected by outliers and therefore provides a better representation of the data set when outliers are present.

3. Mode: The mode is the value that appears most frequently in a data set. A data set may have one mode, more than one mode, or no mode at all. The mode can be used with nominal data (data that can be categorized but not ranked), which the mean and median cannot.

In summary, these three measures provide different perspectives on the central tendency of a data set, and the choice of which one to use often depends on the specific characteristics of the data set.