Vocab
General Equations
General Equations Pt. 2
Means + Standard Deviations
Transforming Discrete Variables
100

All possible outcomes of an experiment or set of trials

Sample Space

100

P(A u B) = P(A) + P(B) - P(A n B)

General Addition Rule

100

P(B) = P(B|A)

Proving Independence

100

μ=E(X)

Discrete Random Variable Means

100

When reporting mean and SD in dollars, values must...

be converted to $ BEFORE input and output from transformation equations

200

A specific desired outcome or set of outcomes of an experiment or set of trials

Event

200

P(A u B) = P(A) + P(B)

Mutually Excllusive Addition Rule

200

P(A|B) = P(A n B) / P(B)

Conditional Probability

200

μx = np

Binomial Distribution Means 

200

Expected value of the addition/subtraction of two variables

E(X+/-Y) = E(X) +/- E(Y)

300

Two events that can not happen together

Mutually Exclusive

300

P(AC) = 1 - P(A)

Complement Rule

300

P(A n Bc) = P(A) - P(A n B)

Complement Intersection equation

300

μx = 1/p

Geometric Distribution Means 

300

Standard deviation of the addition/subtraction of two variables

σX+/-Y = √σX2 + σY2

400

Two events that do not influence one another

Independent

400

P(A n B) + P(A) * P(B)

Independent Multiplication Rule

400

P(X=x) = (n over x) px(1-p)n-x


Binomial Notation

400

σx = (√1-p) / p

Geometric Standard Deviations

400

Mean transformation: E(A+Bx)

E(A+Bx) = A + (B * (E(X))

500

2 possible outcomes, fixed probability, independent, fixed # trials

Bernoulli Trial

500

P(A n B) = P(A) * P(B|A)

Dependent Multiplication Rule

500

P(X=x) = (1-p)x-1p

Geometric Notation

500

σx = √np(1-p)

Binomial Standard Deviations

500

Standard Deviation Transformation: σA+Bx

σA+Bx = |B| * σwhen a is a constant