Explore topic-wise MCQs in Statistics Mcqs.

This section includes 70 Mcqs, each offering curated multiple-choice questions to sharpen your Statistics Mcqs knowledge and support exam preparation. Choose a topic below to get started.

1.

if f(x1,x2,…xn;θ)=g(θˆ;θ)h(x1,x2,….,xn), then θˆ is____________?

A. Consistent
B. Sufficient
C. Efficient
D. Unbiased
Answer» C. Efficient
2.

for two estimators T1=t1(X1,X2,….Xn) and T1=t1(X1,X2,….Xn) then estimators t1 is defined to be Rt1(θ)≤Rt2(θ) for all θ in Θ ?

A. Consistent estimator
B. Admissible estimator
C. Sufficient estimator
D. Minimax estimator
Answer» C. Sufficient estimator
3.

1 – α is the probability of_____________?

A. Acceptance Region
B. Type-I error
C. Type-II Error
D. Rejection Region
Answer» B. Type-I error
4.

Type II error is committed when the null hypothesis is _________________?

A. Rejected when it is true
B. Rejected when it is false
C. Accepted when it is true
D. Accepted when it is false
Answer» E.
5.

__________ is the process of using sample information to reach?

A. Population
B. Biased
C. Unbiased
D. Increase
Answer» D. Increase
6.

_________ is an estimate expressed by a single value?

A. C.I.
B. Point estimator
C. Parameter
D. Point estimate
Answer» E.
7.

When testing for randomness, we can use_____________?

A. Sign test
B. None of these
C. Runs test
D. D Mann-Whitney U test
Answer» D. D Mann-Whitney U test
8.

Let X1,X2,……,Xn be a random sample from a density,,,, f(x ι θ) where θ is a value of the random variable Θwith known density gΘ(θ) Then the estimator ∏(θ) with…/ respect to the prior gΘ(θ) is define as______________E[∏(θ)ιX1,X2,…..,Xn] is called?

A. Posterior Bay’s estimator
B. Minimax estimator
C. Bay’s estimator
D. Sufficient estimator
Answer» B. Minimax estimator
9.

The non parametric equivalent of an unpaired samples t-test____________?

A. Kruskal Wallis Test
B. Mann-Whitney U test
C. Wilcoxon signed rank test
D. Sign test
Answer» C. Wilcoxon signed rank test
10.

Which of the following is simple hypothesis___________________?

A. u = 20
B. u ≠ 20
C. u 20
Answer» B. u ≠ 20
11.

Which of the following test is most likely assessing this null hypothesis: Ho The number of violations per apartment in the population of all city apartments is binomially distributed with a probability of success in any one trial of P=0.3 dd ?

A. The Mann-Whitney test
B. The Kruskal-Wallis test
C. The Wilcoxon Signed Rank test
D. The Kolmogorove-Simirnor test
Answer» E.
12.

The level of significance is denoted by _________________?

A. 1 – ∞
B. β
C.
D. 1 – β
Answer» D. 1 – β
13.

The minimum variance unbiased estimator of the population mean is _______________?

A. 6/√n
B. S/√n
C. S2/n
D. 6x/√n
Answer» D. 6x/√n
14.

If n = 400 and P=.69 then 90% C.I for P is _________________?

A. 652 and . 728
B. .314 and .652
C. .798 and .745
D. None of these
Answer» B. .314 and .652
15.

A quantity obtained by applying certain rule or formula is known as ________________?

A. Estimate
B. Test Statistics
C. Estimation
D. Sample
E. Estimator
Answer» B. Test Statistics
16.

Sample variance S2 is unbiased estimator of population variance 26 because ________________?

A. E(S2) = s2
B. E(u) = X
C. E(P) = P
D. Ux = u
Answer» D. Ux = u
17.

E(x1 – x2)= ___________________?

A. ux – x2
B. u1 – u2
C. 6x – x2
D. 6×2 – x2
Answer» C. 6x – x2
18.

95% confidence limits u are ________________?

A. x±1.65 6/√n
B. u±1.95 S/√n
C. x±1.96 6/√n
D. ±1.96 6/√n
Answer» D. ±1.96 6/√n
19.

condition for applying Central Limit Theorem (CLT) which approximate the sampling distribution of the mean with a normal distribution is ?

A. n > 30
B. N(1 – p) > 5
C. 2 n 5
D. N < 30
Answer» B. N(1 – p) > 5
20.

what is the probability of a type II error when α=0.05 ?

A. 0.025
B. 0.95
C. 0.05
D. Cannot be determined without more information
Answer» E.
21.

If we reject the null hypothesis, we might be making____________?

A. Unpredictable
B. A correct Decision
C. Type-II Error
D. Type-Error
Answer» D. Type-Error
22.

Analysis of Variance (ANOVA) is a test for equally of______________?

A. Variances
B. Proportions
C. Only two parameters
D. Means
Answer» B. Proportions
23.

For t distribution, increasing the sample size, the affect will be on ?

A. Standard Error of the Means
B. The t-ratio
C. Degrees of Freedom
D. All Above
Answer» E.
24.

Parameter is a _________ quantity?

A. Constant
B. Variable
C. All of above
D. Non of these
Answer» B. Variable
25.

Power of test is denoted by _______________?

A. β
B. α
C. (1 – α )
D. (1 – β)
Answer» E.
26.

x=40 is estimator of _________________?

A. (U)
B. 6
C. Ux
D. 6/√n
Answer» B. 6
27.

The values that separate the region of rejection and acceptance region are called _______________?

A. Critical value
B. Confidence limits
C. Confidence boundaries
D. None of these
Answer» B. Confidence limits
28.

Comparing the times to failure of radar transponders made by firms A, B, and C based on an airline’s sample experience with the three types of instruments one may use____________?

A. Kolmogorov-Smirnor test
B. Wilcoxon Rank-Sum test
C. Spearman Rank Correlation test
D. Kruskal-Wallis test
Answer» E.
29.

The Wilcoxon, Rank-Sum test used to compares_______________?

A. Any number of populations
B. A sample mean to the population mean
C. Two populations
D. Three populations
Answer» D. Three populations
30.

Which of the following test must be two-sided ?

A. Sign test
B. Wilcoxon Signed Rank
C. Kruskal-Wallis
D. Runs test
Answer» B. Wilcoxon Signed Rank
31.

The Runs test results in rejecting the null hypothesis of randomness when______________?

A. There is an unusually large number of runs
B. There is an unusually small number of runs
C. None of these
D. Either of the above
Answer» E.
32.

The critical value of a test statistic is determined from_____________?

A. The sampling distribution of the statistics assuming Null Hypothesis
B. calculations based on many actual repetitions of the same Experiment
C. The sampling distribution of the statistic assuming Alternative Hypothesis.
D. Non of these
Answer» D. Non of these
33.

In testing for the difference between two populations, it is possible to use____________?

A. The Wilcoxon Rank-Sum test
B. The Sign test
C. None of the above
D. Either of the above
Answer» E.
34.

Which of the following cannot be Ho_________________?

A. Q ≤ Qo
B. Q ≥ Qo
C. Q = Qo
D. Q ≠ Qo
Answer» E.
35.

If Ho is stated as Q = Qo&lt; the alternate hypothesis in general stated________________?

A. Q Qo
B. Q ≠ Qo
C. None of these
Answer» C. None of these
36.

The hypothesis which is being tested is called ___________________?

A. Composite hypothesis
B. Alternative hypothesis
C. Null hypothesis
D. Simple hypothesis
Answer» D. Simple hypothesis
37.

The sign test assumes that the_______________?

A. Samples are independent
B. Samples have same mean
C. Sample are dependent
D. The Wilcoxon Signed Rank test is used
Answer» D. The Wilcoxon Signed Rank test is used
38.

The t distribution are_____________?

A. Symmetrical
B. None of these
C. Same as Normal Curve
D. Skewed
Answer» B. None of these
39.

Consistency of an estimator can be checked by comparing____________?

A. Standard Deviation
B. Mean
C. mean Square Error
D. Variance
Answer» E.
40.

Three brands of coffee are rated for tasted on a scale of 1 to 10. Six persons are asked to rate each brand so that there is a total of 18 observations.The appropriate test to tasted equally good is_____________?

A. One way analysis of variance (ANOVA)
B. Spearman Rank difference
C. Wilcoxon Rank-Sum test
D. Kruskal-Wallis test
Answer» E.
41.

The Mann-Whitney U test is preferred to a t-test when____________?

A. Sample are dependent
B. The assumption of normality is not met
C. Sample sizes are small
D. Data are paired
Answer» C. Sample sizes are small
42.

Which of the following is an assumption underlying the use of the t-distribution ?

A. The sample are drawn from a normally distributed population.
B. The variance of the population is known
C. All above
D. s (sample standard deviation) is an unbiased estimate of the population variance.
Answer» B. The variance of the population is known
43.

Which of the following is a true statement for comparing the t distribution with standard normal ?

A. Greater the degree of freedom, the more the t-distribution resembles the standard normal distribution
B. The Normal Curve is symmetrical whereas the t-distribution are slightly skewed.
C. The proportion of area beyond a specific value of “t” is less than the proportion of normal curve
D. Non of these
Answer» B. The Normal Curve is symmetrical whereas the t-distribution are slightly skewed.
44.

Let X1,X2,…Xn be a random sample from the density f(x;(θ), where θ may be vector. If the conditional distribution of X1,X2,…Xn given S=s does not depend on θ for any value of s of S, then statistic is called?

A. Minimal sufficient statistic
B. Sufficient statistic
C. Efficient
D. Minimax statistics
Answer» B. Sufficient statistic
45.

if Var(θˆ)→0 as n → 0, then θˆ is said to be______________?

A. Sufficient
B. Efficient
C. Unbiased
D. Consistent
Answer» E.
46.

Wilcoxon Rank-Sum test can be of_______________?

A. Lower tailed
B. Upper tailed
C. Either of the above
D. None of the above
Answer» D. None of the above
47.

Herbicide A has been used for years in order to kill a particular type of weed. An experiment is to be conducted in order to see whether a new herbicide, Herbicide B, is more effective than Herbicide A. Herbicide A will continue to be used unless there is sufficient evidence that Herbicide B is more effective. The alternative hypothesis in this problem is_____________?

A. Herbicide A is more effective than Herbicide B
B. Herbicide A is not more effective than Herbicide B
C. Herbicide B is more effective than Herbicide A
D. Herbicide B is not more effective than Herbicide A
Answer» E.
48.

Criteria to check a point estimator to be good are_____________?

A. Consistency
B. All Above
C. Unbiasedness
D. Efficiency
Answer» C. Unbiasedness
49.

Which of the following test use Rank Sums____________?

A. Kruskal-Wallis and Wilcoxon tests
B. Runs test
C. Chi-Square and sign test
D. F test
Answer» B. Runs test
50.

Let Z1,Z2,….Zn be independent and identically distributedrandom variable, satisfying E[ι Zt ι]

A. Independence Equation
B. Sequential Probability Likelihood Equation
C. Neyman Pearson Lemma
D. Wald’s Equation
Answer» B. Sequential Probability Likelihood Equation