Online sourses to learn chi square test of homogeneity

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SUMMARY

The discussion focuses on the chi square test of homogeneity, which assesses whether multiple independent samples originate from the same population. The user seeks authentic resources for studying this statistical method, particularly those that include problem-solving for multiple attributes. They highlight inconsistencies between online examples and a specific book's methodology, particularly regarding the calculation of chi square values. The user references an online statistics course that includes a section on chi square tests, suggesting it as a valuable resource for learners.

PREREQUISITES
  • Understanding of chi square tests, specifically the chi square test of homogeneity.
  • Familiarity with statistical concepts such as independent random samples.
  • Basic knowledge of online educational resources for statistics.
  • Ability to interpret statistical tables and results.
NEXT STEPS
  • Explore "OnlineStatBook" for comprehensive coverage of chi square tests.
  • Review the "Rice University video on Homogeneity" for visual explanations.
  • Investigate the differences between the chi square test of independence and homogeneity.
  • Practice solving problems related to chi square tests using multiple attributes.
USEFUL FOR

Students, educators, and data analysts seeking to deepen their understanding of chi square tests, particularly those focused on homogeneity and its applications in statistical analysis.

Tyto alba
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I want to study chi square test of homogeneity from any authentic source- book / website especially problems where samples are compared for more than one attribute.

Chi square test of homogeneity is a Chi square test that determines whether two or more independent random samples are from the same or different population.

What are some relevant sources?

Relevant background:

I was studying examples from random online sources before I saw this book in which a second X2
has been calculated and has been substracted from the principle X
2 (the one we usually find). This is inconsistent to the examples I saw online.
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Infact we are being taught the latter process.
 
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This may help, it's an online statistics course. The second to last section covers chi square. I'm giving you the whole table of contents in case you need to review other videos in the course.

https://dl.dropboxusercontent.com/u/28928849/Webpages/Statistics_OnlineStatBook.html
 
Last edited:
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I checked your recommended Rice University video on Homogeneity. I also went through a number of other university websites (and videos) and all of them have solved homogeneity in the line of test of independence which appears very semantic to me. I was wondering if the process mentioned in my book (snip offs in OP) is wrong. I couldn't understand what was the need to subtract the usual X2 from the X2 obtained from adding the data points of a particular category (here yellow and green seeds) as the author has done.
 

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