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

Decision Science MCQs

  

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