QSCI 381 Module 4: Probability Distributions

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12 Terms

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probability distribution

mathematical function that enables us to calculate the probabilities of observations when given population parameters and/or information about the observation process

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probability distribution observations/ possible observations

the result of a random trial

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probability distribution outcome

random variable, X

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x

a specific outcome or particular value of random variable X

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P(X = x)

the probability that the measured variable X took a specific value x

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discrete random variable

a random variable with a finite or countable number of possible outcomes, and outcomes must have integer values

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continuous random variables

uncountable number of possible outcomes, and outcomes can take any possible numeric value

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discrete probability distribution

lists each possible value a random variable can take, together with the probability of it occurring

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discrete probability distribution conditions

  • probability of each possible outcome between 0 and 1

  • sum of probabilities across all outcomes equals 1

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expected value E(X)

long-term mean of measurements based on its probability distribution

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deviation

difference of an observation from the mean

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