Statistical Inference and Hypothesis Testing (ISS Statistics Paper II (New 2016 MCQ Pattern)): Questions 6 - 10 of 222
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Question number: 6
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
Let be a random sample from Bernoulli population with parameter , . If ,
Choices
| Choice (4) | Response | |
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| a. | Is not sufficient for |
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| b. | Is Sufficient for |
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| c. | The conditional distribution does not depend on |
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| d. | Both b. and c. are correct |
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Question number: 7
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
If T is an unbiased estimator for , then is
Choices
| Choice (4) | Response | |
|---|---|---|
| a. | Biased estimator of |
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| b. | Unbiased estimator |
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| c. | None of the above |
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| d. | Question does not provide sufficient data or is vague |
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Question number: 8
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
A formula or rule used for estimating the parameter is called:
Choices
| Choice (4) | Response | |
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| a. | Estimate |
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| b. | Statistic |
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| c. | Estimation |
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| d. | Estimator |
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Question number: 9
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
In sampling from a population, the sample mean is a consistent estimator of
Choices
| Choice (4) | Response | |
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| a. |
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| b. | +1 |
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| c. |
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| d. | All of the above |
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Question number: 10
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
Letbe random sample from a population with mean. Then is
Choices
| Choice (4) | Response | |
|---|---|---|
| a. | Unbiased estimator of |
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| b. | Biased estimator of |
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| c. | Unbiased estimator of |
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| d. | All of the above |
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