Looks like no one added any tags here yet for you.
Binomial
n trials with s successes and f failures
Poisson
Number of events that are to occur in a period of time
Hypergeometric
Population contains M successes and M-N failures probability of exactly k successes in a random sample n
Continuous probability distributions
Measured under a curve, and probabilities of a specific point are 0
Normal Distribution to Standard Distribution
z= x-u/ standard deviation
Cr
No order
Pr
Order matters
Sample distribution creation steps
Find combinations, calculate sum/mean, determine probability
Central Limit Theorem benefits
More accurate and reliable, Inferences about populations based on samples
Wider confidence interval
Increase confidence coefficient, increase standard deviation, decrease sample size
Population parameters
u mean, o standard deviation, p proportion
Sample parameters
-x mean, s standard deviation, ^P proportion
P-value comparison
If p-value < a, reject null hypothesis
Hypothesis testing steps
Formulate null and alternative hypotheses, Determine rejection region, Calculate test statistic, Find p-value, Interpret results, Calculate margin of error and point estimates, Establish confidence interval
a/ Alpha
When you reject the null hypothesis when you shouldnt have
B/ beta
When you fail to reject the null hypothesis when you should have
z<a
Value in table
a<z
Complement of value in table
c<z<a
Difference of the two probalities