Fe Probability And Statistics

Front 1

binomial probability function

Back 1

used when all outcomes can be categorized as either successes or failures.
Can also be used with finite populations when sampling is with replacement

Front 2

compound or joint probability

Back 2

dependent events for which probability is conditional
ex.
-drawing objects from a container
-cards from a deck
-->without replacement
P(A|B) = P(A) if events are independent

Front 3

Birthday Problem

Back 3

P(k distinct birthdays)
(365/365)*(364/365)*...*((365-k)/365)

Front 4

exactly 2 people in a group of 5 share a birthday

Back 4

C(5,2) * (365) * (1/365)^2 * (364/365) * (363/365) * (362/365)

Front 5

Confidence Interval
(Sampling Distribution Known)

Back 5

| L-μ |
-------
|σ/√n|

Front 6

Hypothesis testing - how many tails?

Back 6

one-tail = average has or has not increased or decreased

two-tail = average has or has not changed

Front 7

variance

Back 7

standard deviation squared

s - sample std deviation (n-1)
σ - population std deviation (N)