MODULE 1: BASICS & DESCRIPTIVE STATS
Chapter 1.1: Basics
Section 1.1.1 – Formatting
Section 1.1.2 - Mathematical Symbols
Practice Activity 1.1
Chapter 1.2 Data Fundamenta
Section 0: Introduction
Section 1: Basic Stat Terms
Section 2: Data Types
Section 3: Visualizing Data
Section 4: Sampling
Chapter 1.3: Descriptive Stats
Section 1: Centrality
Section 2: Variability
Section 3: Scales/Shifts/Shapes
Section 4: Sampling Distributions
Practice Activity 1.3
MODULE 2: PROBABILTY & DISTRIBUTIONS
Chapter 2.1: Probability & Applications
Section 1: PR 101
Section 2: Risk
Practice Activity 2.1
Chapter 2.2: PR Applications
Section 1: ROI – IRR
Section 2: Decision Trees
Section 3: Conf Tables
Section 4: Bayesian Probability
Practice Activity 2.2
Chapter 2.3: Discrete Probability Distributions
Section 1: Frequency to Probability Distributions
Section 2: Probability Distribution Basics
Section 3: The Binomial Distribution
Section 4: The Poisson Distribution
Section 5: The Hypergeometric Distribution
Practice Activity 2.3
Chapter 2.4: Continuous Probability Distributions
Section 1: Continuous Probability Distributions
Section 2: The Exponential Distribution
Section 3: The Normal Distributions
Practice Activity 2.4
MODULE 3: CENTRAL LIMIT THEOREM APPS I
Chapter 3.1: CLT Apps I
Section 1: Central Limit Theorem
Section 2: Calculating Sample Sizes
Section 3: Building Confidence Intervals
Practice Activity 3.1
Chapter 3.2 CLT Applications I: Single Sample Tests
Section 1: Hypotheses 101
Section 2: Test Types
Section 3: Inferential Statistics 101
Section 4: Testing a Single Sample Mean
Section 5: Testing a Single Sample Variance
Practice Activity 3.2
MODULE 4: CLT APPS II
Chapter 4.1: CLT Applications II: Two-Sample Tests
Section 1: Testing Two Sample Means w/ Variances Known
Section 2: Testing Two Sample Means w/Unknown Variances
Section 3: Testing Two Sample Variances
Practice Activity 4.1
Chapter 4.2
Section 1
Section 2
Section 3
Section 4
Section 5
Section 6
