Question # 1

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

Small sample has less than

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50 values

45 values

30 values

35 values

(1-α) is called:

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Critical value

Level of significance

Level of confidence

Interval estimate

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

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Confidence interval

Confidence coefficient

Confidence limits

Level of significance

The precision can be increased by ---------------- the sample size

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increasing

decreasing

changing

ignoring

A range of values used to estimate an unknown population parameter is

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a point estimator

An interval estimator

an unbiased estimator

A biased estimator

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

A specific value of an estimator computed from the sample data is called

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estimation

estimate

interval estimate

point estimate

The endpoints of a confidence interval are called:

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confidence coefficient

Confidence limits

Error of estimation

Parameters

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

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best estimators

biased estimators

unbiased estimators

normal estimators

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 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

If mean of the sampling distribution is equal to the parameter then the estimator will be

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biased

consistent

sufficient

unbiased

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

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Interval estimate

Point estimate

Confidence interval

Level of confidence

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