Introduction to Hypothesis Testing

Introduction to Hypothesis Testing

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.

Description

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.