Chapter 5 Flashcards
Random Variable
Variable (x) that has a single value determined by chance for each outcome (1 green pea, 2 green pea)
Probability Variable
Gives the probability of each value of a random variable.
Discrete Random Variable
Finite or countable # of values (1,2,3…)
Continuous Random Variable
Infinitely many values on a continuous scale.
Probability Histogram
Shows probabilities vertically.
Mean vs. expected value
μ=Σ(xPx) μ=Σ(fx)/N
Rare event 992 head on coin toss
Assume not correct
Unusually high rate of success
Px or more less than or equal to 0.05
Unusually low rate of success
Px or less less than or equal to 0.05
Unusual probabilities
P1 green? P1 or fewer
Expected (E)
Mean value of all outcomes E=Σ(x*Px). Same as mean of discrete random variable. Doesn’t need to be whole number.
Variance
σ^2
Binomial probability distribution requirements
Fixed # trials, trials are independent (one trial doesn’t affect the other), 2 outcomes (pass or fail), P(success) is the same in all trials
Binomial 5% rule
Not binomial if trial is done without replacement, except when the sample is < 5%
Binomial probability distributions: S
Success