What are Mean, Median, and Mode?
Mean, median, and mode are measures of central tendency used in statistics to summarize a set of data.
Mean (x̅ or μ): The mean, or arithmetic average, is calculated by summing all the values in a dataset and dividing by the total number of values. It’s sensitive to outliers and is commonly used when the data is symmetrically distributed.
Median (M): The median is the middle value when the dataset is arranged in ascending or descending order. If there’s an even number of values, it’s the average of the two middle values. The median is robust to outliers and is often used when the data is skewed.
Mode (Z): The mode is the value that occurs most frequently in the dataset. Unlike the mean and median, the mode can be applied to both numerical and categorical data. It’s useful for identifying the most common value in a dataset.
Mean, Median and Mode
Mean, Median, and Mode are measures of the central tendency. These values are used to define the various parameters of the given data set. The measure of central tendency (Mean, Median, and Mode) gives useful insights about the data studied, these are used to study any type of data such as the average salary of employees in an organization, the median age of any class, the number of people who plays cricket in a sports club, etc.
Let’s learn more about the Mean, Median, and Mode Formulas, Examples, and FAQs in this article.
Table of Content
- Measures of Central Tendency
- What are Mean, Median, and Mode?
- What is Mean?
- What is Median?
- What is Mode?
- Symbol of Mode
- Relation between Mean Median Mode
- What is Range?
- Differences between Mean, Median and Mode
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