Median test is described as?

Median test is described as?

• A. A non-parametric test checking if multiple samples share the same median.
• B. A parametric test comparing means.
• C. A test for equal variances.
• D. A test for paired differences in means.

Answer: (A)

Medial test is a non-parametric method for checking whether several independent samples come from populations that share the same median. It uses the grand median across all observations to classify each data point as above or below that median, then tallies how many observations in each group fall into each category. Those tallies are analyzed with a chi-square test to see if the pattern of above/below counts differs by group. If there is no difference in medians, the counts should align with chance, giving a non-significant chi-square. It does not compare means or variances, and it does not handle paired data. It’s focused specifically on whether the central tendency (the median) is the same across groups, assuming independent samples and at least ordinal data.

Medial test is a non-parametric method for checking whether several independent samples come from populations that share the same median. It uses the grand median across all observations to classify each data point as above or below that median, then tallies how many observations in each group fall into each category. Those tallies are analyzed with a chi-square test to see if the pattern of above/below counts differs by group. If there is no difference in medians, the counts should align with chance, giving a non-significant chi-square. It does not compare means or variances, and it does not handle paired data. It’s focused specifically on whether the central tendency (the median) is the same across groups, assuming independent samples and at least ordinal data.