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You have before and after test scores for 10 students. The data is not normally distributed. Which test is best to check if the scores changed significantly?

hard📝 Application Q15 of 15
SciPy - Statistical Tests

You have before and after test scores for 10 students. The data is not normally distributed. Which test is best to check if the scores changed significantly?

APaired t-test
BIndependent t-test
CWilcoxon signed-rank test
DChi-square test
Step-by-Step Solution
Solution:

  1. Step 1: Identify data type and test conditions

    Data is paired (before and after) and not normally distributed.

  2. Step 2: Choose appropriate test

    Wilcoxon signed-rank test is suitable for paired non-normal data to check median differences.

  3. Final Answer:

    Wilcoxon signed-rank test -> Option C

  4. Quick Check:

    Non-normal paired data = Wilcoxon test Wilcoxon signed-rank test [OK]
Quick Trick: Use Wilcoxon for paired non-normal data changes [OK]
Common Mistakes:
MISTAKES
  • Using paired t-test despite non-normality
  • Choosing independent t-test for paired data
  • Using chi-square for continuous data

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