Final answer:
In statistics, central tendency measures, including mean, median, and mode, represent the central or average value of a data set. The mean is calculated by dividing the sum of all values by the number of values, while the median is the middle value, and the mode is the most frequently occurring value.
Step-by-step explanation:
Central Tendency Measures:
A measure of the overall average or center of a distribution of scores is referred to as a measure of central tendency. The three primary measures of central tendency are mean, median, and mode.
The mean is the sum of all the values in a dataset divided by the number of values, and is often referred to as the average. The median is the middle value in an ordered dataset. The mode is the value that appears most frequently.
When outliers are present, the median is typically a better representation of central tendency, as it is not as affected by the extreme values as the mean. In contrast, the mean provides a better estimate of central tendency when data points are closely concentrated around the center.
Understanding the concept of central tendency is crucial in various fields like statistics, research, and data analysis, as it provides a simple summary of a data set.