Question # 1

The standard error of the estimate increased by decreasing

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population

sample size

errors

precision

Statistic is an estimator and its calculated value is called:

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Biased estimate

Estimation

Interval estimate

Estimate

The process of making estimates about the population parameter from a sample is called:

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Statistical independence

Statistical inference

Statistical hypothesis

Statistical decision

A single value used to estimate a population value is called:

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Interval estimate

Point estimate

Confidence interval

Level of confidence

If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula

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If the observations are paired and the number of pairs is n, then the number of degree of freedom is equal to

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n

n - 1

2n

2n - 1

Statistical inference has two branches namely:

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Level of confidence and degrees of freedom

Biased estimator and unbiased estimator

Point estimate and interval estimate

Estimation of parameter and testing of hypothesis

The difference of upper and lower limits of confidence interval measures the

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level of significance

level of confidence

interval

precision

An estimator is ------------ if its expected value is equal to the population parameter to be estimated

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bad

biased

unbiased

none of these

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best estimators

biased estimators

unbiased estimators

normal estimators

If 1-α = 0.90, the value of Z_a/2 is:

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1.645

1.96

2.326

2.575

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biased

unbiased

positively biased

none of these

Level of significance is denoted by

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2 - α

3 - α

α

1 - α

By increasing the sample size, the precision of confidence interval is:

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Decreased

Increased

Constant

Unchanged

The distance between an estimate and the estimated parameter is called:

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Sampling error

Standard error

Bias

Error of estimation

The following statistic are unbiased estimators:

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The Sample mean

S² = Σ(X - X)²/n-1

The sample proportion

All the above

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Statistics Ics Part 2 Chapter 3 Online Test MCQs With Answers

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