Statistical Inference and Hypothesis Testing-Characteristics of Good Estimator (ISS (Statistical Services) Statistics Paper II (New 2016 MCQ Pattern)): Questions 28 - 32 of 54

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Question number: 28

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

If an estimator Equation of parameter Equation , converges in probability to the true value of Equation , then the estimator is called as

Choices

Choice (4) Response

a.

Consistent estimator

b.

Biased Estimator

c.

Unbiased estimator

d.

All of the above

Question number: 29

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

The difference between the expected value of an estimator and the value of the corresponding parameter is called:

Choices

Choice (4) Response

a.

Error of estimation

b.

Sampling error

c.

Standard error

d.

Bias

Question number: 30

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

Let Equation be a random sample of size n = 3 from a distribution with mean Equation and variance Equation . Then Equation is a unbiased estimator of

Choices

Choice (4) Response

a.

Equation

b.

Equation

c.

Equation

d.

Equation

Question number: 31

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

A biased estimator is consistent if

Choices

Choice (4) Response

a.

Equation

b.

Equation

c.

Equation

d.

None of the above

Question number: 32

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

Question

A random sample Equation of size 5 is drawn from a normal population with unknown mean Equation . Then Equation is a unbiased estimator of

Choices

Choice (4) Response

a.

Equation

b.

Equation

c.

Equation

d.

Equation

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