Match List-I with List-II
|
List-I |
List-II |
|
(A) The chance of observing a specific outcome in an experiment |
(I) Parameter |
|
(B) A method used to estimate the population parameters |
(II) Estimation |
|
(C) A value that describes an entire population |
(III) Statistic |
|
(D) A measurable characteristic of a sample |
(IV) Probability distribution |
Choose the correct answer from the options given below:
Answer & explanation
Correct answer: option 1
The correct answer is Option (1) → (A)-(IV), (B)-(II), (C)-(I), (D)-(III)
|
List-I |
List-II |
|
(A) The chance of observing a specific outcome in an experiment |
(IV) Probability distribution |
|
(B) A method used to estimate the population parameters |
(II) Estimation |
|
(C) A value that describes an entire population |
(I) Parameter |
|
(D) A measurable characteristic of a sample |
(III) Statistic |
Matching List-I with List-II with explanations:
(A) The chance of observing a specific outcome in an experiment → (IV) Probability distribution
A probability distribution gives the likelihood of all possible outcomes in an experiment.
(B) A method used to estimate the population parameters → (II) Estimation
Estimation refers to statistical methods used to infer population parameters based on sample data.
(C) A value that describes an entire population → (I) Parameter
A parameter is a numerical characteristic that represents the entire population, such as mean or variance.
(D) A measurable characteristic of a sample → (III) Statistic
A statistic is a numerical measure calculated from a sample, used to estimate population parameters.