Question 7-12 of 144: Estimation | CUET (Common University Entrance Test) PG Statistics, Applied Mathematics (SCQP27) | Includes PYQs | Get Solutions with Detailed Explanations
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Question 7
MCQ
Read the question, then carefully choose the correct answer(s).
If is a random sample from a Bernoulli population with parameter , then is
Choices
| Choice (4) | Response | |
|---|---|---|
a. | An unbiased estimator of + 1 | |
b. | An unbiased estimator of | |
c. | A biased estimator of | |
d. | All of the above. | |
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Question 8
MCQ
Read the question, then carefully choose the correct answer(s).
If is a random sample drawn from a population which takes the values 1 or 0 with respective probabilities and , then is
Choices
| Choice (4) | Response | |
|---|---|---|
a. | An unbiased estimator of | |
b. | A biased estimator of | |
c. | An unbiased estimator of | |
d. | Question does not provide sufficient information or is vague. | |
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Question 9
MCQ
Read the question, then carefully choose the correct answer(s).
A formula or rule used for estimating the parameter is called:
Choices
| Choice (4) | Response | |
|---|---|---|
a. | Estimate | |
b. | Statistic | |
c. | Estimation | |
d. | Estimator | |
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Question 10
MCQ
Read the question, then carefully choose the correct answer(s).
Estimate is the observed value of an:
Choices
| Choice (4) | Response | |
|---|---|---|
a. | Stastical Inference | |
b. | Estimator | |
c. | Statistical hypothesis | |
d. | All of the above. | |
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Question 11
MCQ
Read the question, then carefully choose the correct answer(s).
If the mean of the estimator is not equal to the population parameter, the estimator is said to be:
Choices
| Choice (4) | Response | |
|---|---|---|
a. | Negatively biased | |
b. | Unbiased | |
c. | Positively biased | |
d. | Biased | |
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Question 12
MCQ
Read the question, then carefully choose the correct answer(s).
The difference between the expected value of an estimator and the value of the corresponding parameter is called:
Choices
| Choice (4) | Response | |
|---|---|---|
a. | Standard error | |
b. | Bias | |
c. | Error of estimation | |
d. | Sampling error | |
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