Questions and answers for exam Preparation

MCQs

Random Variable And Probability Distributions

Total Questions : 83 | Page 2 of 9 pages

Question 11. If the chances of success in a distribution are 0.68 and the number of values in distribution are 4 then the mean of Poisson probability distribution is

3.72
1.72
2.72
4.72

Discuss Question

Answer: Option C. -> 2.72
Answer: (c).2.72

Question 12. If the trial is repeated 6 times and the chances of success for desired outcome is 0.75 then the variance for negative probability distribution is

4.67
2.67
3.67
5.67

Discuss Question

Answer: Option B. -> 2.67
Answer: (b).2.67

Question 13. In the normal distribution, the z-score and z-statistic are classified as names of

standardized normal random variable
Poisson random variable
normal geometric variable
weighted average variable

Discuss Question

Answer: Option A. -> standardized normal random variable
Answer: (a).standardized normal random variable

Question 14. If the value of failure in binomial probability distribution is 0.70 and success is 0.30 and the number of values in distribution are 7 then the moment coefficient of kurtosis is

0.51
0.18
0.28
0.48

Discuss Question

Answer: Option B. -> 0.18
Answer: (b).0.18

Question 15. The binomial probability distribution is classified as symmetric if

value of p and q is equal
value of p is greater than q
value of p is smaller than q
all of above

Discuss Question

Answer: Option A. -> value of p and q is equal
Answer: (a).value of p and q is equal

Question 16. The type of probability distribution whose standard deviation is one and the mean is equal to zero is classified as

weighted probabilities distribution
standard normal probability distribution
normal cumulative probability distribution
approximated normal distribution

Discuss Question

Answer: Option B. -> standard normal probability distribution
Answer: (b).standard normal probability distribution

Question 17. The symbol λ is used to represent

variance of Poisson distribution
standard deviation in Poisson distribution
mean in Poisson distribution
mean in cumulative distribution

Discuss Question

Answer: Option C. -> mean in Poisson distribution
Answer: (c).mean in Poisson distribution

Question 18. The formula of variance of uniform or rectangular distribution is as

(b - a)² ⁄ 6
(b + a)² ⁄ 12
(b - a)³ ⁄ 8
(b + a)² ⁄ 2

Discuss Question

Answer: Option B. -> (b + a)² ⁄ 12
Answer: (b).(b + a)² ⁄ 12

Question 19. The probability distribution having shape of bell and in which the values of mean lies in center of probability distribution is classified as