RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONS
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- Subject
- RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONSstatistics-mcqs › random-variable-and-probability-distributions
- Published
- 22 May 2019
- Last updated
- 28 May 2026
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Explanation
A continuous random variable is defined as one that can assume any value within an interval, as opposed to discrete values like points or specific durations. The sample space includes all possible outcomes but does not specify continuity.
More RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONS MCQs
Practice related questions from the same subject.
- 1.What determines the shape of a Poisson distribution?
- 2.What is the shape of a binomial distribution when the probabilities of success and failure are equal (p = q)?
- 3.Given that p = 0.6 and q = 0.4, what is the shape of the binomial distribution?
- 4.Which probability distribution describes the count of successful events occurring within a fixed time period?
- 5.Which probability distribution describes the waiting time between two consecutive successes?
- 6.Which of the following terms can also be used to refer to the explanatory variable?
- 7.Which statement correctly describes the cumulative distribution function (CDF) of a random variable X?
- 8.In statistics, what must a random variable always have?
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