A Complete Guide to Descriptive Statistics — Central Tendency and Dispersion

Author(s): Anmol Tomar

Originally published on Towards AI.

A one-stop solution for understanding Descriptive Statistics
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In a world filled with data, statistics is the compass guiding us through the huge seas of numbers. Statistics play an important role in predicting the weather, analyzing market trends, or assessing public health.

In this blog, we’ll understand the essence of statistics, diving into one of its main branches: descriptive statistics.

But before starting with descriptive statistics, let’s take a step back and understand what exactly statistics is. And why is it so crucial?

According to Wikipedia:

“Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.”

In simple terms, statistics means collecting information, summarizing, and determining what it means. Statistics helps us understand the patterns and trends within the data.

A world without Statistics?

Without statistics, we will never be able to understand how data behaves, what happened, or what may happen in the future.

All these things require a fundamental understanding of statistics.

With that context, let’s get started with the topic for today i.e., descriptive statistics.

Descriptive statistics help us summarize and describe the main features of a data set.

Imagine you have a dataset of students’ test scores. Descriptive statistics will tell you the average score, the range of scores, and how scores are distributed. It… Read the full blog for free on Medium.

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Published via Towards AI