Probability and Statistics — Lectures
37 handbook sections · 285 formulas. Each lecture teaches the formulas, then shows the four ways the exam asks about them.
Permutations and Combinations
8 eq
De Morgan's Law
2 eq
Associative Law
2 eq
Distributive Law
2 eq
Property 1. General Character of Probability
0 eq
Property 2. Law of Total Probability
5 eq
Property 3. Law of Compound or Joint Probability
4 eq
Bayes' Theorem
4 eq
Probability Functions, Distributions, and Expected Values
3 eq
Probability Density Function
1 eq
Cumulative Distribution Functions
4 eq
Expected Values
11 eq
Combinations of Random Variables
7 eq
Binomial Distribution
6 eq
Normal Distribution (Gaussian Distribution)
31 eq
Measurement Error
1 eq
Linear Combinations
1 eq
Measurement Uncertainty
5 eq
Least Squares
15 eq
Residual
6 eq
Hypothesis Testing
13 eq
Randomized Complete Block Design
10 eq
Two-factor Factorial Designs
60 eq
Confidence Intervals, Sample Distributions and Sample Size
4 eq
Sample Size
2 eq
Test Statistics
13 eq
Fractiles
9 eq
Cumulative Binomial Probabilities P(X ≤ x)
0 eq
Cumulative Binomial Probabilities P(X ≤ x) (continued)
0 eq
Average and Range Charts
13 eq
Standard Deviation Charts
6 eq
Approximations
7 eq
Tests for Out of Control
0 eq
Binomial
2 eq
Hyper
1 eq
Geometric x
3 eq
Binomial
24 eq