Unit 3: Probability
3.1
Experimental Probability
3.2
Two-Way Tables
3.3
Sample Space and Events
3.4
Theoretical Probability
3.5
Making Predictions Using Probability
3.6
The Addition Law of Probability
3.7
Independent Events
3.8
Dependent Events
3.9
Conditional Probability
Unit 4: Sampling & Data
4.1
Errors in Sampling & Data Collection
4.2
Sampling Methods
4.3
Types of Data
4.4
Simple Discrete Data
4.5
Grouped Discrete Data
4.6
Continuous Data
Unit 5: One-Variable Statistics
5.1
Measuring the Center of Data
5.2
Choosing the Appropriate Measure
5.3
Using Frequency Tables
5.4
Grouped Data
5.5
Measuring the Spread of Data
5.6
Box and Whisker Diagrams
5.7
Outliers
5.8
Parallel Box and Whisker Diagrams
5.9
Cumulative Frequency Graphs
5.10
Variance and Standard Deviation
Unit 6: Two-Variable Statistics
6.1
Association between Numeric Variables
6.2
Pearson's Correlation Coefficient
6.3
Line of Best Fit by Eye
6.4
Linear Regression
6.5
Spearman's Correlation Coefficient
Unit 7: Discrete Random Variables
7.1
Random Variables
7.2
Discrete Probability Distributions
7.3
Expectation
7.4
Binomial Distribution
Unit 8: Normal Distribution & Statistical Tests
8.1
Introduction to the Normal Distribution
8.2
Calculating Probabilities
8.3
Quantiles
8.4
Statistical Hypotheses
8.5
Student's t-Test
8.6
The Two-Sample t-Test for Population Means
8.7
The Chi-Squared Goodness of Fit Test
8.8
The Chi-Squared Test for Independence