Decision Science | Chapter 5 | Part 4 | MBA MCQs | DS

Decision Science MCQs

  

 

1. Binomial distribution has parameters
   1.   Three
   2.   Two
   3.   One
   4.   Four
2. In a binomial probability distribution it is impossible to nd
   
   1.   P(X < 0)
   2.   P(X = 0)
   3.   P(X > 0)
   4.   P(0=< X =< n)
3. A fair coin is tossed four times, the probability of getting four
   heads is
   
   1.   1/4
   2.   1/2
   3.   1/16
   4.   1
   5.   0
4. Each trial in Binomial distribution has
   
   1.   One Outcome
   2.   Two Outcome
   3.   Three Outcome
   4.   Four Outcome
5. Binomial distribution is negatively skewed when
   1.   p = 0
   2.   p > 1/2
   3.   p < 1/2
   4.   p = -1/2
   5.   p = 1/3
6. In binomial distribution n=6 and p=0.9, then the value of
   P(X=7) is
   
   1.   One
   2.   Less than zero
   3.   Zero
   4.   More than zero
7. Binomial distribution is symmetrical when
   1.   p = q
   2.   p > q
   3.   np > npq
   4.   p < q
8. In which distribution successive trials are without
   replacement
   
   1.   Hypergeometric Distribution
   2.   Binomial Distribution
   3.   Poisson Distribution
   4.   Geometric Distribution
9. The probability of success changes from trial to trial in
   
   1.   Binomial Distribution
   2.   Geometric Distribution
   3.   Sampling Distribution
   4.   Hypergeometric Distribution
10. Which of the following is not the property of binomial
    distribution
    
    1.   n is fixed
    2.   has two outcomes
    3.   Trials are independent
    4.   Probability of success varies from trial to trial
11. Successive trials in binomial distribution are
    1.   Dependent
    2.   Independent
    3.   Equally Likely
    4.   Mutually Exclusive
    5.   None
12. The mean, median and mode for binomial distribution will
    be equal when
    
    
    1.   p = 0:5
    2.   p < 0:5
    3.   p > 0:5
    4.   p = 1
    5.   None of these
13. A random variable X has binomial distribution with n = 10
    and p = 0.3 then variance of X is
    
    1.   10
    2.   12
    3.   2.1
    4.   21
    5.   None
14. If in a binomial distribution n = 1 then E(X) is
    
    
    1.   q
    2.   p
    3.   0
    4.   1
    5.   None
15. The variance of binomial distribution is always
    1.   Less than mean
    2.   Equal to mean
    3.   Greater than mean
    4.   Equal to standard deviation
    5.   None of these
16. The mean of binomial distribution is
    1.   npq
    2.   np
    3.   (npq)^1/2
    4.   (np)^1/2
    5.   (nq)^1/2