Главная
Study mode:
on
1
Introduction to Chi-Square Test
2
What is Statistics?
3
Population & Sample
4
What is inferential statistics?
5
Continuous Variables and Discrete Variables
6
Hypothesis Testing
7
Parametric and Non-Parametric Test
8
Chi-Square Test
9
Applications of Chi-Square Test
10
P-Value
11
Steps to Calculate Chi-Square Test
12
Example
13
Chi-Square Test using Excel
14
Chi-Square Test using Python
15
Chi-Square Test using R
16
Feature selection using Chi-Square Test
17
Advantages and Disadvantages
18
Limitations of Chi-Square Test
19
Summary
Description:
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.

Chi Square Test

Great Learning
Add to list
0:00 / 0:00