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.
Answer & explanation
Correct answer: option 2
The correct answer is Option (2) → (A) - (I), (B) - (III), (C) - (IV), (D) - (II)
(A) Distribution of a sample leads to becoming a normal distribution
This matches (I) Central Limit Theorem. The theorem says that the distribution of the sample mean approaches a normal distribution as the sample size grows.
(B) Some subset of the entire population
This matches (III) Sample. A sample is a part of the population chosen for study.
(C) Population mean
This matches (IV) Parameter. A numerical measure of the whole population (mean, variance) is a parameter; the same measure of a sample is a statistic.
(D) Some assumptions about the population
This matches (II) Hypothesis. A statistical hypothesis is an assumption about a population, to be tested using a sample.
So the matching is (A) - (I), (B) - (III), (C) - (IV), (D) - (II).