# Statistical Inference and Hypothesis Testing (ISS Statistics Paper II (New 2016 MCQ Pattern)): Questions 95 - 100 of 222

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## Question number: 95

» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator

MCQ▾

### Question

Efficiency of sample mean as compared to median as an estimate of the mean of a normal population is

### Choices

Choice (4) Response

a.

64 percent

b.

157 percent

c.

360 percent

d.

22 percent

## Question number: 96

» Statistical Inference and Hypothesis Testing » Confidence Interval Estimation

MCQ▾

### Question

Formula for obtaining 99 % confidence limits for the mean μ of a Normal population with mean μ and standard deviation σ are

### Choices

Choice (4) Response

a.

b.

c.

d.

All a. , b. and c. are correct

## Question number: 97

» Statistical Inference and Hypothesis Testing » Simple and Composite Hypotheses

True-False▾

### Following Statement is true or false:

The null hypothesis is generally assumed to be ________ until evidence indicates otherwise.

## Question number: 98

» Statistical Inference and Hypothesis Testing » Confidence Interval Estimation

MCQ▾

### Question

Suppose The confidence interval is given by the relation . Then is called as the

### Choices

Choice (4) Response

a.

Correlation Coefficient

b.

Confidence interval

c.

Confidence coefficient

d.

All of the above

## 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

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