Question

Match the following Statistical tools with their suitable explanation

List-I (Statistical tool)	List-II (suitable explanation)
(A) Correlation	(I) It establishes the nature of the relationship between variables to study the cause and effect relationship
(B) Student t-distribution	(II) It should not be used when N is less than 50
(C) ANOVA	(III) It helps in determining the degree of relationship between two or more variables
(D) $\chi^2$ test	(IV) This is specifically used to test whether the means of more than two quantitative populations are equal
(E) Regression	(V) It is used when sample size is 30 or less

Choose the correct answer from the options given below

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

Hint:

To remember key test differences:
t-test = Comparing means of exactly 2 groups (or small sample \( \le 30 \)).
ANOVA = Comparing means of 3 or more groups.
Correlation = Measuring the degree of relationship.
Regression = Modeling cause-and-effect.

Answer 1

The Correct Option is B