# Statistical Inference and Hypothesis Testing-Characteristics of Good Estimator (ISS 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 of parameter , converges in probability to the true value of , 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 be a random sample of size n = 3 from a distribution with mean and variance. Then is a unbiased estimator of

### Choices

Choice (4) Response

a.

b.

c.

d.

## 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.

b.

c.

d.

None of the above

## Question number: 32

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

### Question

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

### Choices

Choice (4) Response

a.

b.

c.

d.

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