## Topic 1: Bivariate Data Analysis

Scatterplots Displaying bivariate numerical data

Using two way tables to investigate associations between categorical variables

Introduction to Bivariate data and explanatory and response variables

Interpreting Scatterplots: Association, Strength & Outliers

Correlation Coefficient: Pearson's r

Calculating correlation coefficient Pearson's r using Casio Scientific Calculator

R Squared: Calculating and Interpreting The Coefficient of Determination

## Topic 2: Growth & Decay in Sequences (coming soon)

Coming soon

## Topic 3: Graphs & Networks

Intro to Networks: part 1

Intro to Networks Part 2: More Terminology

Networks Digraphs and subgraphs

Networks Relationship between Sum of degree of Vertices and Edges

Creating an Adjacency Matrix from a network graph

Adjacency Matrix with Digraphs

Planar Graphs Introduction – Equivalent (Isomorphic Graphs) and Drawing Graphs in Planar Form

Planar Graphs – Euler's Formula – It always works and here's how to work with it

Networks: open and closed walks

Networks Trails and Paths

Networks Eulerian Graphs and Semi-Eulerian Graphs

Hamiltonian and semi hamiltonian graphs

Networks Weighted Graphs shortest paths and the travelling salesperson problem