Question # 1

Small sample has less than

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50 values

45 values

30 values

35 values

Confidence intervals which are often used in practice are

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90%

95%

98%

all of these

Statistic is an estimator and its calculated value is called:

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Biased estimate

Estimation

Interval estimate

Estimate

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

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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Large sample contains more than

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5 values

10 values

20 values

30 values

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

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

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

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Decreased

Increased

Constant

Same

The probability associated with confidence interval is called:

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Level of confidence

Confidence coefficient

Both A and B

Confidence limits

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

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Decreased

Increased

Constant

Unchanged

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biased

unbiased

positively biased

none of these

Types of statistical inferences are

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one

two

three

four

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

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increasing

decreasing

changing

ignoring

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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