Hypothesis Testing In Statistics | Hypothesis Testing Explained With Example | Simplilearn

In this video, you are going to learn about Hypothesis Testing in Statistics. We will discuss the null hypothesis, the alternate hypothesis, the statistical significance of a hypothesis test, and more. This video breaks down these concepts into easy-to-understand chunks so you can grasp their meaning and applications. We'll also go over a real-world example near the end to show how these concepts are applied.

Below topics will be covered in this Hypothesis Testing video:
00:00 What is Hypothesis Testing?
01:06 Research Question
02:22 Criteria for good hypothesis
03:37 Null hypothesis
04:31 Test Statistic
06:34 Hypothesis example
07:14 Significance level

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✅What is Hypothesis Testing?
Hypothesis Testing is a type of statistical analysis in which we put our assumptions about a population parameter to the test. It is used to estimate the relationship between 2 statistical variables. Whenever we want to make claims about the distribution of data or whether one set of results are different from another set of results in machine learning, we rely on hypothesis tests.


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