Data Management
1.1 FormattingÂ
1.2 Computations
1.3 Functions
1.4 Charts
Project
2.1 Experimental Probability
2.2 Sample Space and Events
2.3 Theoretical Probability
2.4 Making Predictions using Probability
2.5 The Addition Law
2.6 Independent Events
2.7 Dependent Events
2.8 Conditional Probability
Review
3.1 Errors in Sampling and Data Collection
3.2 Sampling Methods
3.3 Writing Surveys
3.4 Types of Data - Simple Discrete Data
3.5 Grouped Discrete - Continuous Data
4.1 Measuring the Centre of Data - Choosing the Appropriate Measure
4.2 Using Frequency Tables - Grouped Data
4.3 Measuring the Spread of Data
4.4 Outliers - Parallel Box Plots
4.5 Cumulative Frequency Diagrams
4.6 Standard Deviation
5.1 Association Between Numerical Variables
5.2 Pearson's Product-Moment Correlation Coefficient
5.3 Line of Best Fit (by Eye)
5.4 The Least Squares Regression Line
5.5 The Regression Line of x against y
6.1 The Basic Principles
6.2 Factorial Notation
6.3 Permutations
6.4 Permutations with Identical Elements
6.5 Combinations
6.6 Combinations with Identical Elements
6.7 Connections to Probability
7.1 Discrete Probability Distributions
7.2 Expectation
7.3 Variance and Standard Deviation, Properties of aX+b
7.4 The Binomial Distribution
7.5 Hypergeometric Distributions
7.6 Negative Binomial Distributions
7.7 Distribution Mix N Match
8.1 Probability Density Functions
8.2 The Normal Distribution
8.3 Calculating Normal Probabilities
8.4 Inverse Normal Problems
8.5 Discrete Modelling
8.6 The Chi Squared Distribution
8.7 Hypothesis Testing
Introduction
Guidelines
Rubrics
TBD