Match the LIST-I with LIST-II
| LIST-I | LIST-II | ||
| A. | Confidence interval | I. | Sampling distribution of the sample mean approaches normal distribution as the sample size gets larger, no matter what the shape of the population distribution is. |
| B. | Hypothesis | II. | A measurable characteristic of a sample. |
| C. | Central limit theorem | III. | The amount of uncertainty associated with a sample estimate of a population parameter. |
| D. | Statistic | IV. | An educated guess which needs to be tested. |
Choose the correct answer from the options given below:
Answer & explanation
Correct answer: option 3
The correct answer is Option (3) → A-III, B-IV, C-I, D-II
(A) A confidence interval gives a range for a population parameter, and its width shows the amount of uncertainty in the sample estimate. This matches (III).
(B) A hypothesis is an educated guess about a population that has to be tested with sample data. This matches (IV).
(C) The central limit theorem says that the sampling distribution of the sample mean approaches the normal distribution for large samples, whatever the shape of the population. This matches (I).
(D) A statistic is a measurable characteristic of a sample, such as the sample mean. This matches (II).
So the matching is (A)-(III), (B)-(IV), (C)-(I), (D)-(II).
CBSE Applied Mathematics (Class XII):
Inferential Statistics
