Question

Match the following statistical Tests with their correct explanation:
\begin{tabular{ll} List-I (Statistical test) & List-II (Correct explanation)
(A) Chi-Square Test & (I) One-way analysis of variance by ranks
(B) McNeamer Test & (II) Two-way analysis of variance by ranks
(C) Friedman Test & (III) Goodness of fit
(D) Kruskall Wallis Test & (IV) Test for significance of changes (before & after)

Choose the correct answer from the options given below:

• (A) - (I), (B) - (III), (C) - (II), (D) - (IV)
• (A) - (III), (B) - (IV), (C) - (II), (D) - (I)
• (A) - (IV), (B) - (I), (C) - (II), (D) - (III)
• (A) - (II), (B) - (III), (C) - (IV), (D) - (I)

Hint:

Chi-Square is the classic test for Goodness of Fit (A - III).
Kruskal-Wallis is the non-parametric one-way analysis of variance (D - I).
These two common tests let you immediately find the correct choice.

Answer 1

The Correct Option is B

Step 1: Understanding the Concept:
Biostatistics utilizes specific parametric and non-parametric hypothesis tests depending on the scale of measurement, experimental design, and number of groups.

Step 2: Detailed Explanation:
Let us match the statistical tests in List-I with their appropriate functions in List-II:
- (A) Chi-Square Test: A non-parametric test commonly used to evaluate the "Goodness of Fit" to determine if observed frequencies differ significantly from expected frequencies.
Thus, (A) matches with (III).
- (B) McNeamer (McNemar) Test: A statistical test used on paired nominal data to analyze the significance of changes before and after an intervention.
Thus, (B) matches with (IV).
- (C) Friedman Test: A non-parametric alternative to the repeated measures ANOVA, used for a two-way analysis of variance by ranks.
Thus, (C) matches with (II).
- (D) Kruskal-Wallis Test: A non-parametric alternative to the one-way independent ANOVA, used for a one-way analysis of variance by ranks.
Thus, (D) matches with (I).
The correct combination is (A)-(III), (B)-(IV), (C)-(II), (D)-(I).

Step 3: Final Answer:
The matched sequence corresponds to option 2.