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

If 1-α = 0.90, the value of Z_a/2 is:

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

Statistical inference has two branches namely:

• Level of confidence and degrees of freedom A
• Biased estimator and unbiased estimator B
• Point estimate and interval estimate C
• Estimation of parameter and testing of hypothesis D

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

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

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

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

Types of statistical inferences are

• one A
• two B
• three C
• four D

Large sample contains more than

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

Small sample has less than

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

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

• increasing A
• decreasing B
• changing C
• ignoring 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

The standard error of the estimate increased by decreasing

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

• 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

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

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