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What do you understand by continuous random variable?
Concept: undefined >> undefined
Describe what is meant by a random variable
Concept: undefined >> undefined
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Distinguish between discrete and continuous random variables.
Concept: undefined >> undefined
Explain the distribution function of a random variable
Concept: undefined >> undefined
Explain the terms probability Mass function
Concept: undefined >> undefined
Explain the terms probability density function
Concept: undefined >> undefined
Explain the terms probability distribution function
Concept: undefined >> undefined
What are the properties of discrete random variable
Concept: undefined >> undefined
What are the properties of continuous random variable?
Concept: undefined >> undefined
State the properties of distribution function.
Concept: undefined >> undefined
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A variable that can assume any possible value between two points is called
Concept: undefined >> undefined
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A formula or equation used to represent the probability distribution of a continuous random variable is called
Concept: undefined >> undefined
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If c is a constant, then E(c) is
Concept: undefined >> undefined
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If c is a constant in a continuous probability distribution, then p(x = c) is always equal to
Concept: undefined >> undefined
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If the random variable takes negative values, then the negative values will have
Concept: undefined >> undefined
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If we have f(x) = 2x, 0 ≤ x ≤ 1, then f(x) is a
Concept: undefined >> undefined
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Which one is not an example of random experiment?
Concept: undefined >> undefined
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A set of numerical values assigned to a sample space is called
Concept: undefined >> undefined
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A variable which can assume finite or countably infinite number of values is known as
Concept: undefined >> undefined
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The probability function of a random variable is defined as
| X = x | – 1 | – 2 | 0 | 1 | 2 |
| P(x) | k | 2k | 3k | 4k | 5k |
Then k is equal to
Concept: undefined >> undefined
