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  In the field of statistical analysis, the Chi-Square test is a highly applicable method known for its flexibility and strength. Understanding the Chi-Square test is crucial for diving into scientific research or navigating business analytics complexities. In this manual, we will take a deep dive into unraveling this statistical instrument, examining its principles, uses, and importance in different areas. Can you explain the Chi-Square Test? The Chi-Square test, also referred to as the χ² test (chi-squared test), is a statistical method used to ascertain the independence or relationship between categorical variables. It determines if the observed categorical data shows a significant difference from what would be anticipated based on a null hypothesis of independence. Applications in Various Fields: The Chi-Square test is used in scientific research to analyze data from genetics experiments, evaluate the distribution of traits in offspring, and study the outcomes of medi...