From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications

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Introduction to hypothesis testing

Introduction to hypothesis testing - Python Tutorial

From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications

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Introduction to hypothesis testing

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(upbeat music) - Now hypothesis testing is basically used to make certain kind of prediction about the population. So here, we are talking about the prediction about the complete city, and the parameter we are considering here is about the user consumption of the data average on a monthly basis, on the basis of certain database. Sample database. In sample databases here, sample of thousand users. What we are going to do is there are five steps. We are going to talk about that. The very first is to formulate the null hypothesis. Now what is null hypothesis? Now, null hypothesis is we are going to assume something that whatever the statements we are going to work upon, which is that the data consumption for each user monthly is greater than 8 GB or not. We are going to take opposite of that in null hypothesis. We assume that no, it is not greater than 8 GB. It is less than a equal to 8 GB. Fair enough. So this is the assumption we're considering. For what for? Population. For complete…

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