Chi-Square Test

Chi-Square Analysis

Learning Objectives Given the learning materials and activities of this chapter, the students will be able to: Perform Chi-square test for Goodness of Fit and test of independence to test the significance preference and significance of associations between categorical variables. Interpret the results..

A chi-square tests involve comparing the observed frequencies in a one-way or two-way frequency distribution table with the expected frequencies if the null hypothesis were true. These tests play an important role in many other problems where information is obtained by counting rather than measuring. The method we shall describe here applies to two kinds of problems. The first is the Chi-square goodness-of-fit test, and the second is the chi-square test for independence.

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About the Author:

Ed Neil O. Maratas an instructor of Jose Rizal Memorial State University, Dapitan Campus, Philippines as regular status. He earned his Bachelor of Science in Statistics at Mindanao State University-Tawi-Tawi College of Technology and Oceanography in the year 2003 and finished Master of Arts in Mathematics at Jose Rizal Memorial State University year 2009. He Became a researcher, a data analyst, and engaged to several projects linked to the university as data processor.

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