Discrete Probability Distributions

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11 Terms

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Random Variable

Value that represents the outcome of a trial/ experiment/ event

  • functions or rules that assign numerical values to each outcome in the experiment’s sample space

  • X = random variable in general

  • Xi = specific value of X

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Probability distribution function

Shows probabilities of different possible value of a variable

For discrete, it shows the probability of each possible value of the variable

Describes likelihood of obtaining the possible values

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Law of probability

Probability that I choose each individual item (or probability of each outcome) must equal 1

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Cumulative distribution function (CDF)

Shows cumulative sum of probabilities from smallest to largest possible values of X

Can’t go over 1, constantly increasing until 1 and tapers off after

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Expected value of random variable X =

Weighted average

E(X) is sum of all possible values of X weighted by respective probabilities

mean of probability distribution

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Binomial distribution

Used with exactly 2 mutually exclusive outcomes

Dichotomous → true/ false, yes/ no, etc.

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Bimodal characteristics

  • fixed number of trials n

  • only two possible outcomes

  • probability of success for each trial remains constant

  • trials are independent from each other

  • random variable X represents number of successes out of n trials

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How to calculate binomial PDF in Excel

=BINOM.DIST ( )

cumulative probability = ‘TRUE’

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Poisson Distribution

Shows how many times an event is likely to occur/ arrive over ap eriod of time

  • random variable X is the number of events/ arrivals per unit of time

  • parameter is (wishbone symbol), is mean number of events per unit of time in space

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Poisson characteristics

  • event occurs randomly over time or space

  • Average arrival rate (wishbone figure) remains constant

  • arrivals independent of each other

  • random variable X represents the number of arrivals within observed time interval

  • always right-skewed → discrete but still infinite, would go on forever but never touch 0

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Poisson distribution in Excel

=POISSON.DIST ( )

TRUE for cumulative function