2nd Year Statistics Chapter 12 Online MCQ Test for 12th Class Statistics Chapter 12 (Estimation)

The probability associated with confidence interval is called:

• Level of confidence A
• Confidence coefficient B
• Both A and B C
• Confidence limits D

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

• level of significance A
• level of confidence B
• interval C
• precision D

Estimation is of two types:

• One sides and two sides A
• Type I and type II B
• Point estimation and interval estimation C
• Biased and unbiased D

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

• n A
• n - 1 B
• 2n C
• 2n - 1 D

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

• Confidence interval A
• Confidence coefficient B
• Confidence limits C
• Level of significance D

Confidence intervals which are often used in practice are

• 90% A
• 95% B
• 98% C
• all of these D

Level of significance is denoted by

• 2 - α A
• 3 - α B
• α C
• 1 - α D

• best estimators A
• biased estimators B
• unbiased estimators C
• normal estimators D

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

• Decreased A
• Increased B
• Constant C
• Unchanged D

If 1-α = 0.90, the value of Z_a/2 is:

• 1.645 A
• 1.96 B
• 2.326 C
• 2.575 D

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

• biased A
• consistent B
• sufficient C
• unbiased D

Types of statistical inferences are

• one A
• two B
• three C
• four D

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

• Sampling error A
• Standard error B
• Bias C
• Error of estimation D

The endpoints of a confidence interval are called:

• confidence coefficient A
• Confidence limits B
• Error of estimation C
• Parameters D

The following statistic are unbiased estimators:

• The Sample mean A
• S² = Σ(X - X)²/n-1 B
• The sample proportion C
• All the above D

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

• P (L <μ < U) = 1 - α A
• P (L <σ < U) = 1 - α B
• P (L <π< U) = 1 - α C
• P (L <P&=nbsp;< U) = 1 - α D

The standard error of the estimate increased by decreasing

• population A
• sample size B
• errors C
• precision D