Question # 1

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

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best estimators

biased estimators

unbiased estimators

normal estimators

If (1-α) is increased, the with of a confidence interval is:

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Decreased

Increased

Constant

Same

If 1-α = 0.90, the value of Z_a/2 is:

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1.645

1.96

2.326

2.575

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

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level of significance

level of confidence

interval

precision

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

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Sampling error

Standard error

Bias

Error of estimation

Small sample has less than

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50 values

45 values

30 values

35 values

Estimation is of two types:

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One sides and two sides

Type I and type II

Point estimation and interval estimation

Biased and unbiased

Statistic is an estimator and its calculated value is called:

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Biased estimate

Estimation

Interval estimate

Estimate

The probability associated with confidence interval is called:

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Level of confidence

Confidence coefficient

Both A and B

Confidence limits

Confidence intervals which are often used in practice are

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90%

95%

98%

all of these

A range of values within which the population parameter is expected:

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Confidence interval

Confidence coefficient

Confidence limits

Level of significance

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

Estimate is the observed value of an:

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Unbiased estimator

Estimation

Estimator

Interval estimation

The endpoints of a confidence interval are called:

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confidence coefficient

Confidence limits

Error of estimation

Parameters

(1-α) is called:

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Critical value

Level of significance

Level of confidence

Interval estimate

100(1-α)% confidence interval for population proportion of success,&=nbsp;π is

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P (L <μ < U) = 1 - α

P (L <σ < U) = 1 - α

P (L <π< U) = 1 - α

P (L <P&=nbsp;< U) = 1 - α

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Statistics Ics Part 2 Chapter 3 Online Test MCQs With Answers

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