12th Class Statistics MCQ Test With Answer for Statistics Full Book

The error which arises due to faulty sampling frames and processing of data is called

• random error A
• sampling error B
• non-sampling error C
• systematic error D

Large sample contains more than

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

The standard error of the estimate increased by decreasing

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

If the population is finite, the standard error of mean is given by:

• σ/√n A
• σ/√n √N - n/ N-1 B
• σ/√n √N -1/N-n C
• σ/√ √1 - n /N D

P(type I error) is equal to:

• 1 - α A
• 1 - β B
• α C
• β D

Which output is permanent ?

• hard copy A
• real copy B
• soft copy C
• none of these D

The least squares estimates are unbiased estimates of the

• statistic A
• time series B
• parameters C
• variance D

1 -&=nbsp;α is call:

• Confidence coefficient A
• Power of the test B
• Size of the test C
• Level of significance D

If X - N (50,25), then=σ = ________.

• 3 A
• 5 B
• 25 C
• 50 D

If the value of any regression coefficient is zero, then two variable are _______.

• Qualitative A
• Correlation B
• Dependent C
• Independent D

Types of statistical inferences are

• one A
• two B
• three C
• four D

The two attribute A and B are positively associated, if _________.

• (AB) = (A)(B)/n A
• (AB) < (A)(B)/n B
• (AB) ≠ (A)(B)/n C
• (AB) > (A)(B)/n 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

The first commercially available computer was:

• ENIAC A
• UNIVAC B
• Mark I C
• Analytical engine D

An automobile is driven on the average on more than 1600 kilometers per year, the null hypothesis is

• H_o : μ = 16000 kilometers A
• H_o : μ ≤  16000 kilometers B
• H_o : μ < 16000 kilometers C
• H_o : μ > 16000 kilometers 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

• β₁ A
• β₂ B
• β₃ C
• S_k D