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 (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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Non – parametric tests are the statistical tests that measure the variable at: (A) probability level (B) ratio level (C) interval level (D) nominal level Correct Ans: (D) Explanation:Non-parametric tests measure variables at the nominal level. Nominal level data represents categories that have no inherent order. These tests do not rely on assumptions about the
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