# Statistical Inference and Hypothesis Testing-Characteristics of Good Estimator (ISS Statistics Paper II (New 2016 MCQ Pattern)): Questions 47 - 51 of 54

Get 1 year subscription: Access detailed explanations (illustrated with images and videos) to 246 questions. Access all new questions we will add tracking exam-pattern and syllabus changes. View Sample Explanation or View Features.

Rs. 200.00 or

## Question number: 47

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

### Question

For a normal population , the variance of the sample mean and sample variance are given . Then the efficiency of mean against median is

### Choices

Choice (4) Response

a.

b.

c.

d.

## Question number: 48

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

### Question

In a class of consistent estimators for a parameter, which one will you consider as the most efficient estimator?

### Choices

Choice (4) Response

a.

One whose mean and variance both are less than the other estimators.

b.

One whose sampling variance is less than the other estimators.

c.

One whose mean is less than the other estimators.

d.

Question does not provide sufficient data or is vague

## Question number: 49

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

### Question

If T is an unbiased estimator for , then is biased estimator of

### Choices

Choice (4) Response

a.

b.

c.

d.

## Question number: 50

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

### Question

An estimator is efficient, if its variance is________ the variance of any other estimator.

### Choices

Choice (4) Response

a.

More than

b.

Similar to

c.

Less than

d.

Either b or c

## Question number: 51

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

### Question

An estimator is considered to be the best if its distribution is

### Choices

Choice (4) Response

a.

Concentrated about the true parameter value

b.

Normal

c.

Discrete

d.

Continuous

f Page