# Inferential Statistics

One step forward to our goal of knowing everything.

When we learn about mean, median, mode, range, variance, skewness of the data; we are essentially talking about **Descriptive Statistics**. It is undoubtedly first and best thing you can do when your mail box is hit with data from manager.

But todays post is going to be all about **Inferential Statistics**.

## So what is it?

As Descriptive Statistics describes the data, inferential statistics finds metrics that samples can say about population. Basically what do we infer/generalize about the population of say 1 crore data points from just sample of say 1000 data points.

## Start?

Yes, that’s what we are here for. Inferential Statistics is divided into two sub parts/techniques.

**Problem of Estimation**subdivided into*Point Estimation*: Gives a point value for the random variable parameter.*Interval Estimation*: Gives the range of value or interval in which random variable parameter falls in with a given probability.**Test of Hypothesis**

In this article we are concerned about just highlights of what Inferential Statistics. To know more about in detail, tune into my other articles.

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