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

Small sample has less than

• 50 values A
• 45 values B
• 30 values C
• 35 values D

Large sample contains more than

• 5 values A
• 10 values B
• 20 values C
• 30 values D

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

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

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

• Interval estimate A
• Point estimate B
• Confidence interval C
• Level of confidence D

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

• estimation A
• estimate B
• interval estimate C
• point estimate 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

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

• bad A
• biased B
• unbiased C
• none of these D

Estimate is the observed value of an:

• Unbiased estimator A
• Estimation B
• Estimator C
• Interval estimation D

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

• a point estimator A
• An interval estimator B
• an unbiased estimator C
• A biased estimator D

• biased A
• unbiased B
• positively biased C
• none of these D

The standard error of the estimate increased by decreasing

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

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

• Statistical independence A
• Statistical inference B
• Statistical hypothesis C
• Statistical decision 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

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

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

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

Statistic is an estimator and its calculated value is called:

• Biased estimate A
• Estimation B
• Interval estimate C
• Estimate D

(1-α) is called:

• Critical value A
• Level of significance B
• Level of confidence C
• Interval estimate D