Decision Science | Chapter 5 | Part 2 | MBA MCQs | DS

Decision Science MCQs

  

 

1. When the possible outcomes of an experiment are equally likely to occur, this we apply:
   1.   Relative probability
   2.   Classical probability
   3.   Conditional probability
   4.   Subjective probability
2. A number between 0 and 1 that is use to measure uncertainty is called:
   1.   Random variable
   2.   Probability
   3.   Trial
   4.   Simple event
3. The probability of an event cannot be:
   1.   Equal to zero
   2.   Less than zero
   3.   Greater than zero
   4.   Equal to one
4. Probability can be expressed as:
   1.   Ration
   2.   Fraction
   3.   Percentage
   4.   All of the above
5. The probability of all possible outcomes of a random experiment is always equal to:
   1.   One
   2.   All of the above
   3.   Infinity
   4.   Zero
6. The outcome of tossing a coin is a:
   1.   Mutually exclusive event
   2.   Certain event
   3.   Simple event
   4.   Compound event
7. A set of all possible outcomes of an experiment is called
   1.   Combination
   2.   Compound event
   3.   Sample space
   4.   Sample point
8. When each outcome of a sample space is as likely to occur as any other, the outcomes are called:
   1.   Exhaustive
   2.   Not mutually exclusive
   3.   Equally likely
   4.   Mutually exclusive
9. The range of normal distribution is:
   1.   0 to n
   2.   0 to ∞
   3.   -1 to +1
   4.   -∞ to +∞
10. In normal distribution
    1.   Mean = Median = Mode
    2.   Mean> Median > Mode
    3.   Mean ≠ Median ≠ Mode
    4.   Mean < Median < Mode
11. Which of the following is true for the normal curve:
    1.   Symmetrical
    2.   All of the above
    3.   Bell-shaped
    4.   Unimodel
12. In a normal curve, the ordinate is highest at:
    1.   Standard deviation
    2.   Q1
    3.   Variance
    4.   Mean
13. The parameters of the normal distribution are
    1.   np and nq
    2.   n and p
    3.   μ and σ2
    4.   μ and σ
14. The shape of the normal curve depends upon the value of:
    1.   Standard deviation
    2.   Quartile deviation
    3.   Mean deviation
    4.   Q1
15. The normal distribution is a proper probability distribution of a continuous random variable, the total area under the curve f(x) is:
    1.   Equal to one
    2.   Between -1 and +1
    3.   More than one
    4.   Less than one
16. In a normal probability distribution of a continuous random variable, the value of standard deviation is:
    1.   Zero
    2.   None of the above
    3.   Greater than zero
    4.   Less than zero
17. In a normal curve, the highest point on the curve occurs at the mean, μ, which is also the:
    1.   Median and mode
    2.   Lower and upper quartiles
    3.   Variance and standard deviation
    4.   Geometric mean and harmonic mean
18. The normal curve is symmetrical and for symmetrical distribution, the values of all odd order moments about mean will always be:
    1.   1
    2.   0.5
    3.   0.25
    4.   0
19. The maximum ordinate of a normal curve is at:
    1.   X = σ2
    2.   X = μ
    3.   X = μ + σ
    4.   X = μ - 2σ
20. The value of the standard deviation σ of a normal distribution is always:
    1.   Equal to zero
    2.   Equal to 0.5
    3.   Less than zero
    4.   Greater than zero