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

Decision Science MCQs

  

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