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Chapter 5 Discrete Probability Distributions

Across
The number of trials times the probability of success, p.
The mean of a binomial distribution times ( 1 - p)
For a random variable, this is where the outcome is squared and multiplied to the probability of that outcome in a probability distribution. That product is added for each outcome then the square of the mean of the random variable is subtracted from it.
Specifies the outcome and probability of each outcome. The probability of each outcome must be between 0 and 1 inclusively while the sum of the probability of all the outcomes must equal to 1.
Down
A histogram based on the probability distribution
For a random variable, this is where the outcome is multiplied to the probability of that outcome in a probability distribution. This product is found for each outcome and added up. Also known as the expected value.
Square root of the variance
Numerical outcome of a probability experiment. May be discrete or continuous.