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What Are The Assumptions for the Chi-Square Test of Independence? |Statistics
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In this video, we'll explore the assumptions of the Chi-Square Test of Independence. This test is used to determine if two or more populations are independent. We'll discuss the three important assumptions of the test and show how to use them to interpret the results.
If you're studying statistics, then you need to be familiar with the assumptions of the Chi-Square Test of Independence. This video will help you understand the three assumptions and how they affect the results of the test. By understanding these assumptions, you'll be able to better understand the results of Chi-Square tests and make more informed decisions about your statistics studies!
Statistics Study Guide:
Assumptions:
1. 2 Categorical Variables
2. Randomly drawn sample
3. Expected Value in Cells
Related Videos:
#Statistics #maths #math
If you're studying statistics, then you need to be familiar with the assumptions of the Chi-Square Test of Independence. This video will help you understand the three assumptions and how they affect the results of the test. By understanding these assumptions, you'll be able to better understand the results of Chi-Square tests and make more informed decisions about your statistics studies!
Statistics Study Guide:
Assumptions:
1. 2 Categorical Variables
2. Randomly drawn sample
3. Expected Value in Cells
Related Videos:
#Statistics #maths #math
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