McqMate
1. |
What is E(ax+b)? |
A. | ax+b, |
B. | ax, |
C. | aE(x), |
D. | aE(x)+b |
Answer» D. aE(x)+b |
2. |
Write mean in term of moments? |
A. | µ1’, |
B. | µ2’, |
C. | µ2’- µ1’, |
D. | ( µ1’)2 |
Answer» A. µ1’, |
3. |
V(ax+b)= ……………….. |
A. | ax+b, |
B. | aV(x)+b, |
C. | a2V(x)+b, |
D. | a2V(x) |
Answer» D. a2V(x) |
4. |
The scatterness of observation is called …………… |
A. | Skewness, |
B. | Kurtosis, |
C. | Dispersion, |
D. | Mean |
Answer» C. Dispersion, |
5. |
For leptokurtic distribution |
A. | β2 < 3, |
B. | β2 > 3, |
C. | β2= 3, |
D. | β2= 0 |
Answer» B. β2 > 3, |
6. |
Any measure calculated on the basis of population value is called ……… |
A. | Parameter, |
B. | Statistic, |
C. | Sample, |
D. | Distribution |
Answer» A. Parameter, |
7. |
Give the suitable expression for E(x-c)2 |
A. | E(x2)-C2, |
B. | (E(x)-E(c))2, |
C. | V(x) + (E(x)-C)2, |
D. | V(x2)-C2 |
Answer» C. V(x) + (E(x)-C)2, |
8. |
The degree of relation between two variable is called |
A. | Correlation, |
B. | Regression, |
C. | Correlation Coefficient |
Answer» B. Regression, |
9. |
Correlation coefficient lies between ………… |
A. | 0 & 1, |
B. | -1 & 1, |
C. | -1 & 0, |
D. | -∞ & ∞ |
Answer» B. -1 & 1, |
10. |
If there is no relation between two variables correlation is called ………… |
A. | Positive, |
B. | Zero, |
C. | Negative, |
D. | Normal |
Answer» B. Zero, |
11. |
What is the maximum value of probability? |
A. | 1 |
B. | zero |
C. | -1 |
D. | 2 |
Answer» B. zero |
12. |
P (AUB) =? |
A. | P(A)+P(B) |
B. | P(A) U P(B) |
C. | P(A) - P(B) |
D. | P(A)+P(B)-P(A∩B) |
Answer» D. P(A)+P(B)-P(A∩B) |
13. |
In which distribution means variance coincide? |
A. | Binomial |
B. | Poisson |
C. | Uniform |
D. | Normal |
Answer» B. Poisson |
14. |
Binomial distribution is a ______ distribution? |
A. | Discrete |
B. | Continuous |
C. | Bivariate |
Answer» A. Discrete |
15. |
_____ distribution is a limiting case of binomial? |
A. | Normal |
B. | Poisson |
C. | Uniform |
D. | Gamma |
Answer» B. Poisson |
16. |
What is the mean of the binomial distribution? |
A. | n |
B. | p |
C. | np |
D. | npq |
Answer» C. np |
17. |
If A & B are independent events which of the following are true |
A. | P(AUB)=P(A)+P(B) |
B. | P(A∩B)=P(A).P(B) |
C. | P(A/B)=P(A)/P(B) |
D. | P(A-B)=P(A)-P(B) |
Answer» B. P(A∩B)=P(A).P(B) |
18. |
What is the MGF of Normal distribution? |
A. | (q+pet)n |
B. | e(et-1) |
C. | npq |
D. | eµt + t2 Ϭ2/2 |
Answer» D. eµt + t2 Ϭ2/2 |
19. |
Find variance in terms of moments? |
A. | µ2! , |
B. | µ1! , |
C. | (µ1!)2 |
D. | µ2! - (µ1!)2 |
Answer» D. µ2! - (µ1!)2 |
20. |
If mean=median=mode in a distribution then which is called____________? |
A. | Binomial |
B. | Normal |
C. | Poisson |
D. | Uniform |
Answer» B. Normal |
21. |
The degree to which numerical data tend to spread about an average value is |
A. | Mean, |
B. | Average, |
C. | Dispersion, |
D. | Mode |
Answer» C. Dispersion, |
22. |
____________ =Q3-Q1/2 |
A. | skewness, |
B. | Quartile deviation, |
C. | Mean deviation, |
D. | Range |
Answer» B. Quartile deviation, |
23. |
Mean deviation is least when calculated from ________________ |
A. | Mean, |
B. | Median, |
C. | Mode, |
D. | S.D |
Answer» B. Median, |
24. |
If the varience is 256, then S.D is |
A. | 16, |
B. | 4, |
C. | 2, |
D. | 512 |
Answer» A. 16, |
25. |
S.D is a measure of ____________dispersion |
A. | Relative, |
B. | absolute, |
C. | Negative, |
D. | None of these |
Answer» B. absolute, |
26. |
In a symmetrical distribution quartiles are equidistant from____________ |
A. | Mean, |
B. | Median, |
C. | Mode, |
D. | S.D |
Answer» B. Median, |
27. |
In a negatively skewed distribution, |
A. | Mean=Median=Mode, |
B. | Mode<Median<Mode, |
C. | Mode<Median<Mean, |
D. | Mean<Median<Mode |
Answer» D. Mean<Median<Mode |
28. |
Karl Pearson coefficient of skewness does not depend on |
A. | Mean, |
B. | Median, |
C. | Mode, |
D. | First quartile |
Answer» D. First quartile |
29. |
In a Binomial distribution varience is 4/3 and p(success) is 1/3 find mean? |
A. | 2, |
B. | 4, |
C. | 6, |
D. | 8 |
Answer» A. 2, |
30. |
Find the varience of the binomial distribution whose mgf is (0.4et+0.6)8 |
A. | 1.92, |
B. | 0.92, |
C. | 0.24, |
D. | 7.86 |
Answer» A. 1.92, |
31. |
The standard deviation of the sampling distribution of a statistic is called |
A. | Standard error, |
B. | error, |
C. | population deviation, |
D. | population error |
Answer» A. Standard error, |
32. |
What is the standard error of x? |
A. | Ϭ, |
B. | Ϭ2 |
C. | Ϭ/√n |
D. | Ϭ2/n |
Answer» C. Ϭ/√n |
33. |
What is the necessary condition for an estimator‘t’ is unbiased |
A. | t=0, |
B. | E(t)=0, |
C. | E(t)= ɵ, |
D. | t= ɵ |
Answer» C. E(t)= ɵ, |
34. |
What is the condition that t1 is more efficient than t2 |
A. | t1<t2, |
B. | E (t1) <E (t2), |
C. | V (t1) < V (t2), |
D. | t1>t2) |
Answer» C. V (t1) < V (t2), |
35. |
The Rejected region in a statistical test is called ------------------------------ |
A. | First type |
B. | Second type |
C. | critical |
D. | none of these |
Answer» C. critical |
36. |
The estimator tn of parameter ɵ is consistent if tn converges to…………….. in probability |
A. | ɵ2, |
B. | ɵ, |
C. | 0, |
D. | 1 |
Answer» B. ɵ, |
37. |
A consistent estimator is unbiased if |
A. | Small sample, |
B. | large sample, |
C. | finite sample , |
D. | countable sample |
Answer» B. large sample, |
38. |
(V (t1) / V (t2) ) is called…………………… |
A. | relative efficiency of t1 w.r.to t2 |
B. | relative efficiency of t2 w.r.to t1 |
C. | relative sufficiency of t1 w.r.to t2 |
D. | relative sufficiency of t2 w.r.to t1 |
Answer» B. relative efficiency of t2 w.r.to t1 |
39. |
the hypothesis against the null hypothesis is called --------------------- |
A. | zero |
B. | test |
C. | alternate |
D. | none of these |
Answer» C. alternate |
40. |
probability of the test static falling in the critical region is called ----------- |
A. | significance |
B. | rejected |
C. | statistical |
D. | none of these |
Answer» A. significance |
41. |
In a normal distribution with mean µ and variance 1, t=1/nxi 2 is an unbiased estimator of ____________? |
A. | Ø |
B. | µ |
C. | µ2 |
D. | µ2+1 |
Answer» D. µ2+1 |
42. |
Sample mean is the consistent estimator of _____________? |
A. | population mean |
B. | Sample variance |
C. | Population variance |
D. | S.D |
Answer» A. population mean |
43. |
If ‘t’ is consistent estimator of Q ,Then t2 is the consistent estimator of __________ ? |
A. | Q |
B. | Q2 |
Answer» B. Q2 |
44. |
For the population f(x,µ)=1/ 2) |
A. | Sample mean is not a consistent estimator, but sample median is a consistent estimator |
B. | Sample median is not a consistent estimator, but sample mean is a consistent estimator |
C. | Sample variance is not a consistent estimator, but population variance is a consistent estimator |
D. | Sample variance is a consistent estimator, but population variance is not a consistent estimator |
Answer» A. Sample mean is not a consistent estimator, but sample median is a consistent estimator |
45. |
The kurtosis ᵝ2 =__________? |
A. | µ4/µ2 |
B. | µ4/µ1 |
C. | µ4/µ22 |
D. | µ4/µ12 |
Answer» C. µ4/µ22 |
46. |
At t=0,Mx (t)=___________? |
A. | zero |
B. | 1 |
C. | -1 |
D. | 2 |
Answer» B. 1 |
47. |
Which distribution is limiting case of binomial distribution as n->∞,p->0 |
A. | Poisson |
B. | normal |
C. | uniform |
D. | gamma |
Answer» A. Poisson |
48. |
In which distribution Mean=Median=Mode? |
A. | Poisson |
B. | normal |
C. | uniform |
D. | gamma |
Answer» B. normal |
49. |
Variance of k, where k is a constant is |
A. | k2 |
B. | k |
C. | zero |
D. | 1 |
Answer» C. zero |
50. |
Expectation of a constant k is |
A. | zero |
B. | 1 |
C. | k |
D. | k2 |
Answer» C. k |
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