Discrete Random Variables

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Random variables, assigning probabilities to all outcomes, binomial distribution, probability mass function vs cumulative probability function

Last updated 11:07 AM on 6/2/26
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16 Terms

1
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What is a random variable?

Set of values that quantify the outcome of the random experiment 

  • Allows you to map the outcomes of a random experiment to numbers 

  • Usually denoted with a capital letter 

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What is a discrete random variable?

Can assume only a finite number of different values 

  • E.g. outcome of a coin toss 

3
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What are the assumptions of discrete random variable experiments?

  • All outcomes are equally likely

  • All outcomes are independent from each other

4
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What is a continuous random variable?

Arbitrarily precise → can take all values in some range 

  • E.g. height 

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What are probability distributions used for?

Mapping the values of a random variable to the probability of it occurring

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How can discrete probability distributions be plotted?

On a bar graph

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What are probability mass functions used for?

Giving the probability that a discrete random variable exactly equals a specific value

<p>Giving the probability that a discrete random variable exactly equals a specific value</p>
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What is the equation for when you have a random experiment with N possible outcomes?

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What is the equation for any subset A of the sample space?

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What are frequency distributions used for?

Mapping the values of a random variable with how often they occur

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What is binomial distribution?

  • Type of discrete probability distribution 

  • Only 2 possible outcomes: success + failure

  • Number of observations (n) is fixed 

  • Each observation is independent of each other 

  • Probability of success (p) is the same for each observation 

  • Number of successes given a fixed number of trials 

12
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What is the equation for binomial probability mass function?

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What is the code for calculating binomial probability mass functions?

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What are cumulative distribution functions used for? How does this relate to binomial distribution?

Seeing the total probability of all values before or after a given point → with BD the CPF simply sums the probabilities of the individual outcomes 

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What is the code for calculating cumulative probabilities?

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Interpreting cumulative distribution frequencies

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