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

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

Large sample contains more than

• 5 values A
• 10 values B
• 20 values C
• 30 values 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 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 precision can be increased by  ---------------- the sample size

• increasing A
• decreasing B
• changing C
• ignoring D

• biased A
• unbiased B
• positively biased C
• none 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

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

• biased A
• consistent B
• sufficient C
• unbiased 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

Level of significance is denoted by

• 2 - α A
• 3 - α B
• α C
• 1 - α D

Statistic is an estimator and its calculated value is called:

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

Estimate is the observed value of an:

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

Small sample has less than

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

Types of statistical inferences are

• one A
• two B
• three C
• four 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 probability associated with confidence interval is called:

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