Question

Match List-I with List-II:

List-I	List-II
(A) Distribution of a sample leads to becoming a normal distribution	(I) Central Limit Theorem
(B) Some subset of the entire population	(II) Hypothesis
(C) Population mean	(III) Sample
(D) Some assumptions about the population	(IV) Parameter

Choose the correct answer from the options given below.

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

Answer 1

The Correct Option is B

Let us analyze each statement from List-I and match it with the appropriate option in List-II:

The Central Limit Theorem (I) states that the sampling distribution of the mean becomes approximately normal as the sample size increases.

A Sample (III) is a subset of the population, used to make inferences about the entire population.

The Population Mean (IV) is a parameter, as it is a characteristic of the entire population.

A Hypothesis (II) represents the assumptions or claims about the population, which are tested using statistical methods.

Thus, the correct matching is:

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