Statistical Inference and Hypothesis Testing (ISS (Statistical Services) Statistics Paper II (New 2016 MCQ Pattern)): Questions 36 - 40 of 222

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Question number: 36

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

If is the estimator of the parameter , then is called unbiased if:

Choices

Choice (4) Response

a.

b.

c.

d.

Question number: 37

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

Estimate is the observed value of an:

Choices

Choice (4) Response

a.

Statistical hypothesis

b.

Stastical Inference

c.

Estimator

d.

None of the above

Question number: 38

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

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.

An unbiased estimator of

c.

A biased estimator of

d.

All of the above

Question number: 39

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

A statistic is biased if the mean of the sampling distribution of the statistic is

Choices

Choice (4) Response

a.

Equal to the parameter

b.

Not equal to the parameter.

c.

Less than the parameter

d.

Question does not provide sufficient data or is vague

Question number: 40

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

The mean of a random sample is always a consistent estimator of the population mean μ. This statement is

Choices

Choice (4) Response

a.

True for all distributions

b.

False

c.

True only for Bernoulli distribution

d.

All of the above

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