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

Types of statistical inferences are

• one A
• two B
• three C
• four 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

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

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

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

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

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

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

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

Large sample contains more than

• 5 values A
• 10 values B
• 20 values C
• 30 values 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 endpoints of a confidence interval are called:

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

Level of significance is denoted by

• 2 - α A
• 3 - α B
• α C
• 1 - α 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

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

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

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