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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