McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Economics (CBCS) .
Chapters
| 1. |
The outcome of tossing a coin is a |
| A. | Simple event |
| B. | Mutually exclusive event |
| C. | Compound event |
| D. | Complementary event |
| Answer» A. Simple event | |
| 2. |
What is the probability of getting exactly one head in a single throw of two unbiased coins? |
| A. | 1/2 |
| B. | 1/4 |
| C. | 3/4 |
| D. | 1 |
| Answer» A. 1/2 | |
| 3. |
What is the probability of getting a black king from a standard pack of 52 cards? |
| A. | 1/52 |
| B. | 2/52 |
| C. | 4/52 |
| D. | None of the above |
| Answer» B. 2/52 | |
| 4. |
What is the probability of getting exactly two tails in a single throw of 3 coins? |
| A. | 1/8 |
| B. | 2/8 |
| C. | 3/8 |
| D. | 2/6 |
| Answer» C. 3/8 | |
| 5. |
The value of probability lies between |
| A. | 0 and ∞ |
| B. | -1 and +1 |
| C. | 0 and 1 |
| D. | 1 and 100 |
| Answer» C. 0 and 1 | |
| 6. |
If a ball is drawn at random from a bag containing 4 white, 7 green and 10 black balls, what is the probability that it is a green ball? |
| A. | 7/21 |
| B. | 4/21 |
| C. | 7/7 |
| D. | 1/21 |
| Answer» A. 7/21 | |
| 7. |
The probability of the simultaneous occurrence of two events A and B is |
| A. | P(A) + P(B |
| B. | P(A) + P(B) – P(A∩B |
| C. | P(A) – P(B |
| D. | P(A) P(B/A), P(A) ≠0 |
| Answer» A. P(A) + P(B | |
| 8. |
_________ is calculated on the basis of past experience and on experiment conducted. |
| A. | Classical probability |
| B. | Empirical probability |
| C. | Modern approach to probability |
| D. | None of the above |
| Answer» B. Empirical probability | |
| 9. |
Permutation refers to |
| A. | Arrangements |
| B. | Groups |
| C. | Outcomes |
| D. | Events |
| Answer» A. Arrangements | |
| 10. |
In probability theories, events which can never occur together are called |
| A. | Dependent events |
| B. | Independent events |
| C. | Mutually exclusive events |
| D. | Non-mutually exclusive events |
| Answer» C. Mutually exclusive events | |
| 11. |
If the happening of an event is not affected by the happening of other events, it is said to be |
| A. | A dependent events |
| B. | An independent events |
| C. | Mutually exclusive events |
| D. | Exhaustive cases |
| Answer» B. An independent events | |
| 12. |
If it is known that an event A has occurred, the probability of an event B given A is called |
| A. | Classical probability |
| B. | Statistical probability |
| C. | Posteriori probability |
| D. | Conditional probability |
| Answer» D. Conditional probability | |
| 13. |
In a discrete probability distribution, the random variables are |
| A. | Natural numbers |
| B. | Whole numbers |
| C. | Imaginary numbers |
| D. | Rational numbers |
| Answer» B. Whole numbers | |
| 14. |
Binomial distribution is a ________ distribution. |
| A. | Discrete probability |
| B. | Continuous probability |
| C. | Nonparametric discrete probability |
| D. | None of the above |
| Answer» A. Discrete probability | |
| 15. |
The parameters involved in binomial distribution is/are |
| A. | n |
| B. | p and q |
| C. | n, p and q |
| D. | n and p |
| Answer» D. n and p | |
| 16. |
It is suitable to use binomial distribution for |
| A. | Large value of ‘n’ |
| B. | Small value of ‘n’ |
| C. | Fractional value of ‘n’ |
| D. | Any value of ‘n’ |
| Answer» B. Small value of ‘n’ | |
| 17. |
In a binomial distribution, if ‘n’ is the number of trials and ‘p’ is the probability of success, then the mean value is given by |
| A. | n |
| B. | √np |
| C. | np |
| D. | npq |
| Answer» C. np | |
| 18. |
The variance of binomial distribution can be express as |
| A. | pqr |
| B. | np |
| C. | npq |
| D. | none of the above. |
| Answer» C. npq | |
| 19. |
The standard deviation of binomial distribution is express as |
| A. | npq |
| B. | √np |
| C. | �𝑛𝑛𝑛𝑛𝑛𝑛 |
| D. | Pq |
| Answer» C. �𝑛𝑛𝑛𝑛𝑛𝑛 | |
| 20. |
Variance of binomial distribution is maximum when |
| A. | p < q |
| B. | p = q |
| C. | p > q |
| D. | none of the above |
| Answer» B. p = q | |
| 21. |
Poisson distribution is a ________ distribution. |
| A. | Discrete probability |
| B. | Continuous probability |
| C. | Bi-parametric discrete probability |
| D. | None of the above |
| Answer» A. Discrete probability | |
| 22. |
A family of parametric distributions in which mean is equal to variance is |
| A. | Binomial distribution |
| B. | Poisson distribution |
| C. | Normal distribution |
| D. | All of the above. |
| Answer» B. Poisson distribution | |
| 23. |
Poisson distribution is |
| A. | Positively skewed distribution |
| B. | Negatively skewed distribution |
| C. | Not skewed distribution |
| D. | All of the above |
| Answer» A. Positively skewed distribution | |
| 24. |
Poisson distribution has only one parameter which is the |
| A. | Mean |
| B. | Variance |
| C. | Standard variation |
| D. | Mode |
| Answer» A. Mean | |
| 25. |
If ‘m’ is the mean of a Poisson distribution, the variance is given by |
| A. | m2 |
| B. | m |
| C. | √m |
| D. | m/2 |
| Answer» B. m | |
| 26. |
Poisson distribution with regard to peakedness is |
| A. | Platykurtic |
| B. | Mesokurtic |
| C. | Leptokurtic |
| D. | Depends on value of its parameter |
| Answer» C. Leptokurtic | |
| 27. |
The outcomes of tossing a coin five times are a variable of the type |
| A. | Continuous random variable |
| B. | Discrete random variable |
| C. | Neither discrete nor continuous random variable |
| D. | Discrete as well as continuous random variable |
| Answer» B. Discrete random variable | |
| 28. |
Which of the following is a continuous distribution |
| A. | Poisson distribution |
| B. | Binomial distribution |
| C. | Normal distribution |
| D. | All of the above |
| Answer» C. Normal distribution | |
| 29. |
Normal distribution is also known as |
| A. | Bernoulli distribution |
| B. | Gaussian distribution |
| C. | Laplacian distribution |
| D. | Cauchy’s distribution |
| Answer» B. Gaussian distribution | |
| 30. |
The value of constant ‘e’ appearing in normal distribution is |
| A. | 3.1416 |
| B. | 2.1783 |
| C. | 2.7183 |
| D. | 2.8317 |
| Answer» C. 2.7183 | |
| 31. |
In normal distribution |
| A. | Mean < median < mode |
| B. | Mean = median = mode |
| C. | Mean > median > mode |
| D. | Mean = median > mode |
| Answer» B. Mean = median = mode | |
| 32. |
The normal distribution curve is |
| A. | Positively skewed |
| B. | not skewed |
| C. | negatively skewed |
| D. | None of the above |
| Answer» B. not skewed | |
| 33. |
The shape of the normal curve is |
| A. | Bell shaped |
| B. | Flat |
| C. | Circular |
| D. | Spiked |
| Answer» A. Bell shaped | |
| 34. |
The area under a standard normal curve is |
| A. | 0 |
| B. | ∞ |
| C. | 1 |
| D. | Not defined |
| Answer» C. 1 | |
| 35. |
The standard normal curve is symmetric about the value |
| A. | 0 |
| B. | ∞ |
| C. | 1 |
| D. | 1.5 |
| Answer» A. 0 | |
| 36. |
For a normal curve, the QD, MD and SD are in the ratio |
| A. | 1:2:3 |
| B. | 5:6:7 |
| C. | 9:10:11 |
| D. | 10:12:15 |
| Answer» D. 10:12:15 | |
| 37. |
Under normal curve, the area enclosed by ‘ mean ± 2σ ’ is |
| A. | 68.26% |
| B. | 95.44% |
| C. | 99.73% |
| D. | 100% |
| Answer» B. 95.44% | |
Done Studing? Take A Test.
Great job completing your study session! Now it's time to put your knowledge to the test. Challenge yourself, see how much you've learned, and identify areas for improvement. Don’t worry, this is all part of the journey to mastery. Ready for the next step? Take a quiz to solidify what you've just studied.