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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Hypothesis testing

In this section, we will perform hypothesis testing to answer this question: "does alcohol consumption affect academic performance?".

We will cover the following topics:

  • A null hypothesis testing framework
  • Performing a test for the equality of population variances
  • Performing a t-test for the equality of population means

We will be using these results to answer the question that we proposed. We will use the Jupyter Notebook and conduct a brief review of the following steps, which we usually follow when we use hypothesis testing to answer a question:

  1. We will set up two competing hypotheses; one is called the null hypothesis and the other is called the alternative hypothesis. What determines these hypotheses is the type of question that we would like to answer.
  2. We will set in advance a significance level, called alpha. The most common alpha value...
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