

The Chi-Square Test of Goodness of Fit is a statistical method used to determine whether a set of observed frequencies significantly differs from expected frequencies derived from a particular theoretical distribution. This non-parametric test is widely applied when dealing with…
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Chi-Square Test of Goodness of Fit Conceptual Framework Cross-Sectional Design Data Analysis Data Collection Descriptive Design Descriptive Statistical Analysis Distribution-Free Test Expected frequency Experimental Design Exploratory Design Goodness of Fit Latent Variable Literature Review Longitudinal Design MANOVA Mixed Multi-Variate Analysis Multi-Variate Analysis of Variance Multiple ANOVA Non-Probability Sampling One Sample t-Test Population Primary Data Probability Sampling Qualitative Quantitative Questionnaire Reliability Analysis Research Approach Research Design Research Gap Research Objectives Sample Sampling Sampling Frame Sampling Principles Secondary Data Simple Sample 't' Test Survey Theoretical Framework Type-I Error Type-II Error Validity Validity of Research Instrument