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
The probability of an event is always a value between 0 and 1, inclusive. It cannot be negative or exceed 1, as probabilities represent the likelihood of occurrence expressed as a number from 0 (impossible event) to 1 (certain event).
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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.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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