Probability and Distribution Functions MCQs
Probability and Distribution Functions MCQs
These Probability and Distribution Functions multiple-choice questions and their answers will help you strengthen your grip on the subject of Probability and Distribution Functions. You can prepare for an upcoming exam or job interview with these Probability and Distribution Functions MCQs.
So scroll down and start answering.
1: ____________ is a continuous probability distribution that can be unimodal, similar to a normal distribution, but not necessarily symmetric (a special case of a gamma distribution).
A. Beta Distribution
B. Binomial Distribution
C. Continuous Distribution
D. None of these
2: A discrete probability distribution where the random variable is the number of successes in N trials is called _____________ .
A. Beta Distribution
B. Binomial Distribution
C. Continuous Distribution
D. None of these
3: A probability distribution where a random variable can take any value between the limits of a given range is known as :
A. Beta Distribution
B. Binomial Distribution
C. Continuous Distribution
D. None of these
4: Discrete probability distribution is a probability distribution where a random variable can only take a value from an identified finite set of possible values.
A. True
B. False
5: ______________ is a continuous probability distribution where the random variable represents the time between Poisson events that occur at a constant average rate.
A. Mean
B. Normal (or Gaussian) Distribution
C. Exponential Distribution
D. Poisson Distribution
6: Mean a measure of the central tendency of a distribution; also known as _____________ .
A. Expected value
B. Normal (or Gaussian) Distribution
C. Exponential Distribution
D. Poisson Distribution
7: A continuous probability distribution that is unimodal and symmetric is called _____________.
A. Expected value
B. Normal (or Gaussian) Distribution
C. Exponential Distribution
D. Poisson Distribution
8: Poisson distribution is a discrete probability distribution where the time between events occurs at a constant average rate.
A. True
B. False
9: ________________ is the possible values that a random variable can take and the likelihood that the random variable will equal those values.
A. Standard Deviation
B. Probability Distribution
C. Shifted Exponential Distribution
D. None of these
10: Shifted exponential distribution is an exponential distribution where the average time between events is bounded below.
A. True
B. False
11: Measure of a random variable’s dispersion about its mean (the square root of the variance).
A. Standard Deviation
B. Triangular Distribution
C. Uniform Distribution
D. None of these
12: Triangular distribution is a continuous probability distribution with a known lower and upper bound; in the shape of a triangle.
A. True
B. False
13: Uniform distribution is a probability distribution where the value of a random variable can take any value between a given lower and upper bound with equal probability can be ____________ .
A. Continuous
B. Discrete
C. Both
D. None of these
14: __________ is a measure of the random variable’s dispersion about its mean (based on the sum of the squared deviations about the mean)
A. Variance
B. Continuous
C. Discrete
D. None of these
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Probability and Distribution Functions MCQs
