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Introduction to Hypothesis Testing (Easy Statistics)

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Hypothesis testing is crucial in all significant tests in statistical research. Therefore knowledge of Hypothesis test/significance test is essential for statistics students and researchers.

This book covers most important and widely used four significant tests: Z-test, T-test, F-test and Chi- Square test.

Under the above main topics below subtopics are also discussed in this book.
? One sample Z test on mean and proportion
? Two sample Z test on mean and proportion
? One sample T test
? Independent sample T test
? Paired T test
? One-way ANOVA
? Two way ANOVA
? Chi Square Test
? Independence of two variables
? Goodness of Fit
A set of questions and answers for all topics are presented at the end of each topic
Manual calculations are presented in a precise and comprehensive manner. Topics on F-test and Chi- Square test are given more concentration as students struggle to understand these topics during their course work.

Any suggestions to further improve the contents of this edition would be warmly appreciated. For any further suggestions, please contact me via website
anushabooks.com

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Additional Info

  • Publication Date: October 11, 2020
  • Text-to-Speech: Disabled
  • Lending: Disabled
  • File Size: 60 KB

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