Quantitative Techniques For Business Set 5
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This set of Quantitative Techniques for Business Multiple Choice Questions & Answers (MCQs) focuses on Quantitative Techniques For Business Set 5
Q1 | Random variable is also called ..............................
- stochastic variable
- chance variable
- both
- none of these
Q2 | If the random variable of a probability distribution assumes specific values only, then it iscalled ...............................
- discrete probability distribution
- continuous probability distribution
- probability distribution
- none of these
Q3 | npq is the variance of ....................................
- binomial distribution
- poisson distribution
- probability distribution
- none of these
Q4 | For a binomial distribution with probability p of a success and of q of a failure, the relationbetween mean and variance is .............................
- mean is less than variance
- mean is greater than variance
- mean is equal to variance
- mean is greater than or equal to variance
Q5 | In a binomial distribution, if n =8 and p = 1/3, then variance = ........................
- 8/3
- 48/3
- 64/3
- 16/9
Q6 | In a .............................. distribution, mean is equal to variance
- binomial
- poisson
- normal
- gamma
Q7 | For a binomial distribution, the parameter n takes ...................... values
- finite
- infinite
- continuous
- none of these
Q8 | Poisson distribution is the limiting form of ...............................
- binomial distribution
- normal distribution
- poisson
- none of these
Q9 | Poisson distribution is originated by ..........................
- de-moivre
- bernoulli
- poisson
- none of these
Q10 | In Poisson distribution, mean is denoted by ........................
- npq
- np
- m
- e
Q11 | Poisson distribution is a ........................... distribution.
- negatively skewed distribution
- positively skewed distribution
- symmetrical distribution
- none of these
Q12 | In Poisson distribution, the value of ‘e’ = ..........................
- 2.178
- 2.817
- 2.718
- 2.871
Q13 | Mean and variance of Poisson distribution is equal to ...............................
- m
- e
- np
- npq
Q14 | If two independent random variables follow binomial distribution, their sum follows..............
- binomial distribution
- poisson distribution
- normal distribution
- none of these
Q15 | When X follows binomial distribution, P(X=0) is.........................
- 0
- 1
- qn
- pn
Q16 | Normal distribution was first discovered by ................................... in 1733 as limiting form ofbinomial distribution.
- karl pearson
- james bernoulli
- de-moivre
- simeon denis poisson
Q17 | Normal distribution is a........................... probability distribution.
- discrete
- continuous
- poisson
- none of these
Q18 | ...........................distribution gives a normal bell shaped curve.
- normal
- poisson
- binomial
- none of these
Q19 | The normal curve is .................................
- bi-model
- uni-model
- mean
- none of these
Q20 | Normal distribution is ......................
- continuous
- unimodal
- normal
- none of these
Q21 | For a normal curve , the QD, MD, and SD are in the ratio of ..............................
- 5:8:10
- 10:12:15
- 2:3:5
- none of these
Q22 | An approximate relation between QD and SD of normal distribution is ...............
- 2qd = 3sd
- 5qd = 4sd
- 4qd = 5sd
- 3qd = 2sd
Q23 | An approximate relation between MD about mean and SD of a normal distribution is............................
- 5md = 4 sd
- 3md = 3 sd
- 3md = 2 sd
- 4md = 5 sd
Q24 | The area under the standard normal curve beyond the line z = ±1.96 is ...............................
- 5%
- 10%
- 90%
- 95%
Q25 | Normal distribution is ................................
- mesokurtic
- leptokurtic
- more than 0
- in between +1 and -1