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

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

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

Large sample contains more than

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

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

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

If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula

• 
  A
• 
  B
• 
  C
• 
  D

Confidence intervals which are often used in practice are

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

Statistic is an estimator and its calculated value is called:

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

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

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

Small sample has less than

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

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

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

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