Discrete random variables are this, unlike continuous random variables
What is finite? (or countably infinite!)
To have a discrete probability distribution for X, all probabilities for each value of X must be between or equal to these two values.
Must be between 0 and 1.
What is the binomial coefficient for a scenario involving 50 trials and 8 successes?
536878650
You shoot 50 free throws and count the # of free throws you made. Is this Binomial or Geometric?
Binomial. X = # of successes
You are shooting free throws, and count the # of free throws it took for you to make one. Is this Binomial or Geometric?
Geometric. Counting the # of trials
If the following is a discrete probability distribution, fill in the missing probability:
0 - 0.12 , 1 - 0.16, 2 - 0.24, 3 - 0.32, 4 - ?, 5 - 0.05
What is 0.13?
For any two random variables X and Y, if S = X + Y, what is μS ?
μX+μY
If a scenario is Binary, has a fixed # of trials, and the same probability of success for each trial, but each trial is not independent, we can check this other condition/rule instead.
The 10% condition. If n is our sample size, and N is the population size,
n<=0.10N
As n gets larger, the Binomial Distribution approaches a Normal Curve, so we can use Normal Probability Calculations. What are the 2 parts of the Large Counts Condition?
np>=10 and n(1-p)>=10
The probability that Lamar Jackson of the Baltimore Ravens throws an incomplete pass is .32. What is the probability that of his first 12 pass attempts, he has 2 incompletions? (Assume independence)
0.14 or 14%
What is the Pythagorean Theorem of Statistics?
Variance of the Sum/Difference of Two Random Variables:
If S = X + Y, then
σS2 = σX+Y2 = σX2 + σY2