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Statistics is critical in helping us figure out whether the world looks the way we expect it to. That can include everything from how things fall into different categories, like the books we read, or even what neighborhood we’re in. And the chi-square test is exactly what we need in hypothesis testing to measure how well a model fits reality.
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Chapters:
0:00 – Introduction
1:21 – What Are Theoretical Distributions?
4:52 – Introducing The Chi-Square
6:55 – Goodness-Of-Fit Test
10:27 – Conclusion
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#StudyHall #Statistics #RealWorld
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REFERENCES:
https://www.stat.uchicago.edu/~yibi/teaching/stat220/17aut/Lectures/L25.pdf
SOURCES:
https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/animal-science/hypothesis-tests/chi-square-tests.html
https://www.stat.uchicago.edu/~yibi/teaching/stat220/17aut/Lectures/L25.pdf
https://open.umich.edu/sites/default/files/downloads/interactive_lecture_notes_13-chi-square_analysis.pdf
https://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one/8-chi-squared-tests
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