Statistics

Hypothesis Testing In Statistics with Examples

A concept in statistics for data-driven decisions

Amit Chauhan
Towards AI
Published in
6 min readMar 23, 2021

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This article will be fun for all readers

Hypotheses testing is an idea to be tested in statistics on observed data points. It is all about guessing the things that can be work or not to make meaningful results.

A good hypothesis contains “if” and “then” words. For example, if the temperature is increased then the solid will melt.

Pre-requisite for this article:

  • Knowledge of Descriptive Statistics
  • Knowledge of Inferential Statistics

Steps involve in decision making are shown below:

  • Formulate a hypotheses
  • Find the right test
  • Execute the test
  • Make a decision

When we always do hypotheses we have to know what is our null hypothesis. For example, if we say the petrol price is higher then this is just a statement. What if we say, the petrol price in one state is 2 rupees higher than the other state. So, this statement shows a point to do a hypotheses where we have some data for analyses.

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