Cambridge Mathematics IGCSE (US) Extended - Probability and Statistics
Course

Cambridge Mathematics IGCSE (US) Extended – Probability and Statistics

5.1 Probability
5.2 Descriptive Statistics
5.3 Representing Data
5.4 Exploring Data
5.5 Linear Modelling

47 Lessons

Course Materials

PROBABILITY

Introduction to Probability

Experimental Probability

Sample Space

Theoretical Probability

Fair Games

Mutually Exclusive Events

Sampling With Replacement

Complementary Events

Laws of Probability

Dependent Events

Independent Events

Tree Diagrams

Expectation Theory

Expected Value

Fair Games and Expectation

DESCRIPTIVE STATISTICS

Populations and Samples

Samples and Sampling

Bias

Types of Data

Discrete Data

Continuous Data

Key Statistical Concepts

Measuring the Centre of Data

Choosing the Appropriate Measure

Mean from Data in Class

REPRESENTING DATA

Column Graphs

Bar Graphs

Line Graphs

Pie Graphs

Frequency Histogram and Frequency Polygons

Dot Plots

Cumulative Frequency Polygon

Scatter Plots

EXPLORING DATA

Interpreting Data

Median

Mean

Mode

Range and Interquartile Range

LINEAR MODELLING

Linear Models

Correlation

Correlation Coefficient

Line of Best Fit