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Measures of Location

Explore the key measures of location—mean, median, and mode—in descriptive statistics. Understand how these central tendency measures help summarize datasets, handle outliers, and interpret data distributions effectively.

What is descriptive statistics?

Descriptive statistics provide us with quantitative statistics about data. It helps us show and summarize the data in a meaningful way so that patterns start emerging from it.

In this tutorial, we will explore the fundamental aspects of descriptive statistics, which are used extensively in the field.

Measures of location or central tendency

Measures of Location, also referred to as Measures of central tendency, help us to summarize a list of numbers. The three most commonly used measures of location are mean, median, and mode.

Mean

Mean is one of the measures of Location and is used extensively in the field. It is calculated by adding up all the values of the dataset and dividing them by the total number of values. Mean is also referred to as the expected value.

One common way it is used in the field is by replacing the missing values in a column with the mean of the values present in the data.

Formula

xˉ=1ni=1nxi\bar{x}=\frac{1}{n}\sum_{i=1}^n x_i ...