chi-square test

 Non-parametric tests are generally applied to analyse

 Non-parametric tests are generally applied to analyse (A) Nominal data (B) Ordinal data (C) Interval data (D) Ratio data Correct Ans: (A) Explanation: Non-parametric tests are statistical methods used to analyze nominal data, which consists of categorical variables without a specific order. These tests do not assume a normal distribution, making them ideal for research […]

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Non-parametric tests measure variables at

Non-parametric tests measure variables at (A) Ratio level (B) Interval level (C) Nominal level (D) Non-conditional level Correct Ans: (C) Explanation: Non-parametric tests measure variables at the nominal level, meaning they analyze categorical data rather than numerical values. Since these tests do not assume a specific distribution, researchers use them when data lacks normality or

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Applying chi-square to find out the association demand a sample of

The fitness of good test of applying chi-square to find out the association between two variables demands a minimum sample of (A) 20 (B) 30 (C) 40 (D) 50 Correct Ans: (D) Explanation: The chi-square test is a statistical method used to determine the association between two categorical variables. For the test to produce reliable

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