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In quantitative research, statistical tests like Chi-square, t-test, and F-test are widely used to analyze data and make inferences about populations. Each of these tests has distinct features and applications, making them essential tools in experimental and survey-based research. The Chi-square test is primarily used to examine the association between categorical variables. Its most notable feature is that it deals with frequencies or counts rather than measurements on a continuous scale. This test is non-parametric, meaning it does not assume a specific distribution for the data, making it flexible for analyzing nominal or ordinal data. The test evaluates whether the observed frequencies differ significantly from __________ ___ ___ _____ _____ _______ ________ __________ _______ ____ ___.
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