Explore the fundamentals of hypothesis testing and statistical analysis in this comprehensive video course on the Chi-Square test. Learn about population and sample concepts, inferential statistics, and the distinction between continuous and discrete variables. Dive into the specifics of the Chi-Square test, its applications, and how to interpret p-values. Follow step-by-step instructions for calculating the Chi-Square test, complete with practical examples. Gain hands-on experience using Excel, Python, and R for Chi-Square analysis. Discover how to apply the Chi-Square test for feature selection in data science projects. Examine the advantages, disadvantages, and limitations of this statistical method. By the end of this 1-hour 9-minute tutorial, master the Chi-Square test and its implementation across various platforms, enhancing your ability to analyze categorical data and draw meaningful conclusions from statistical experiments.
Overview
Syllabus
Introduction to Chi-Square Test.
What is Statistics?.
Population & Sample.
What is inferential statistics?.
Continuous Variables and Discrete Variables.
Hypothesis Testing.
Parametric and Non-Parametric Test.
Chi-Square Test.
Applications of Chi-Square Test.
P-Value.
Steps to Calculate Chi-Square Test.
Example.
Chi-Square Test using Excel.
Chi-Square Test using Python.
Chi-Square Test using R.
Feature selection using Chi-Square Test.
Advantages and Disadvantages.
Limitations of Chi-Square Test.
Summary.
Taught by
Great Learning
