PSY325Week5DQ2 - The Chi Square(X2 test is undoubtedly the...

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The Chi Square (X 2 ) test is undoubtedly the most important and most used member of the nonparametric family of statistical tests (Aron, Coups, and Aron, 2011). Chi Square is employed to test the difference between an actual sample and another hypothetical or previously established distribution such as that which may be expected due to chance or probability. Chi Square can also be used to test differences between two or more actual samples. The One-Way Classification (or sometimes referred to as the Single Sample Chi Square Test) is one of the most frequently reported nonparametric tests in journal articles (Choudhury, 2009). The test is used when a researcher is interested in the number of responses, objects, or people that fall in two or more categories. This procedure is sometimes called a goodness-of-fit statistic. Goodness-of-fit refers to whether a significant difference exists between an observed number and an expected number of responses, people or objects falling in each category designated by the researcher. The expected number is what the researcher expects by chance or according to some null hypothesis. The Two-Way Chi Square is a convenient technique for determining the significance of the difference between the frequencies of occurrence in two or more categories with two or more groups (Choudhury, 2009). The Chi Square Test for Single Variance is used to test a hypothesis on a specific value of the population variance (Choudhury, 2009). Statistically speaking, we test the null hypothesis H 0 : σ = σ 0 against the research hypothesis H 1 : σ # σ 0 where σ is the population mean and σ 0 is a specific value of the population variance that we would like to test for acceptance. In other words, this test enables us to test if the given sample has been drawn
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This note was uploaded on 01/08/2012 for the course PSY325 325 taught by Professor Donnawall during the Spring '11 term at Ashford University.

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PSY325Week5DQ2 - The Chi Square(X2 test is undoubtedly the...

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