Central Tendency in Statistics
In statistics, three measures are defined as central tendencies that are, Mean, Median, and Mode, where mean provides the average value of the dataset, median provides the central value of the dataset, and the most frequent value in the dataset is mode.
Calculation of central tendency such as mean, median, and mode is very useful in a lot of fields of study such as Data Science, Statistics, and Machine Learning.
Mean in Statistics
Mean in Mathematics is the measure of central tendency and is mostly used in Statistics. Mean is the easiest of all the measures. Data is of two types, Grouped data and ungrouped data. The method of finding the mean is also different depending on the type of data. Mean is generally the average of a given set of numbers or data. It is one of the most important measures of the central tendency of distributed data.
In statistics, the mean is the average of a data set. It is calculated by adding all the numbers in the data set and dividing by the number of values in the set. The mean is also known as the average. It is sensitive to skewed data and extreme values. For example, when the data are skewed, it can miss the mark.
In this article, we’ll explore all the things you need to know about What is Mean, Mean Definition, Mean Formula, Mean Examples, and others in detail.
Table of Content
- What is Mean in Statistics?
- Mean Formula
- How to Find Mean?
- Mean of Ungrouped Data
- Types of Mean
- Mean of Grouped Data