# Statistical Inference and Hypothesis Testing (ISS (Statistical Services) Statistics Paper II (New 2016 MCQ Pattern)): Questions 99 - 103 of 222

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: 99

» Statistical Inference and Hypothesis Testing » Moments and Least Squares

MCQ▾

### Question

In general, the estimates obtained by the method of moments are ________

### Choices

Choice (4) Response

a.

Asymptotically normal and always efficient

b.

Not asymptotically normal but efficient

c.

Asymptotically normal but not efficient

d.

None of the above

## Question number: 100

» Statistical Inference and Hypothesis Testing » Estimation Methods of Maximum Likelihood

MCQ▾

### Question

The joint probability density function of the sample variates is called ________

### Choices

Choice (4) Response

a.

Confidence limits

b.

Likelihood function

c.

Minimum Variance Unbiased MVU estimator

d.

None of the above

## Question number: 101

» Statistical Inference and Hypothesis Testing » Confidence Interval Estimation

MCQ▾

### Question

For the Confidence Interval we use……. . and For the Confidence Interval we use ……. .

### Choices

Choice (4) Response

a.

Z -table, t- table

b.

t -table, Z- table

c.

Z -table, Poisson table

d.

Question does not provide sufficient data or is vague

## Question number: 102

» Statistical Inference and Hypothesis Testing » Complete Statistics

MCQ▾

### Question

If is a family of distributions and is any statistic then is said to be complete for if

### Choices

Choice (4) Response

a.

b.

c.

d.

## Question number: 103

» Statistical Inference and Hypothesis Testing » Estimation Methods of Maximum Likelihood

MCQ▾

### Question

A value of a parameter which maximises the Likelihood function is known as ________ estimate of

### Choices

Choice (4) Response

a.

Efficient Estimator

b.

Sufficient Estimator

c.

Complete Statistics

d.

Maximum Likelihood Estimator

f Page