RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONS
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- RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONSstatistics-mcqs › random-variable-and-probability-distributions
- Published
- 2 Jul 2021
- Last updated
- 28 May 2026
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Explanation
The CDF of a random variable X represents the probability that X takes a value less than or equal to a specific point. This means it accumulates probabilities starting from the smallest possible value up to that point. Therefore, option B is correct.
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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.In statistics, what must a random variable always have?
- 8.What is the total area beneath the curve of a probability density function?
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