Edexcel AS Statistics: Textbook Index Textbook PPT Chapter 11.1 Mathematical Models 1.2 Designing a Models Chapter 11.1 Mathematical Models 1.2 Designing a Models Chapter 22.1 Types of Data2.2 Measures of Central Tendency2.3 Other Measures of Location 2.4 Measure of Spread2.5 Variance and Standard Deviation2.6 Coding Chapter 22.1 Types of Data2.2 Measures of Central Tendency2.3 Other Measures of Location 2.4 Measure of Spread2.5 Variance and Standard Deviation2.6 Coding Exam style question of Ch 2& 3 Chapter 33.1 Histogram3.2 Outliers3.3 Box Plots3.4 Stem and Leaf Diagram 3.5 Skewness3.6 Comparing Data Chapter 33.1 Histogram3.2 Outliers3.3 Box Plots3.4 Stem and Leaf Diagram 3.5 Skewness3.6 Comparing Data Chapter 44.1 Understanding the Vocabulary used in Probability4.2 Venn Diagrams4.3 Mutually Exclusive and Independent Events4.4 Set Notation4.5 Conditional Probability4.6 Conditional Probabilities in Venn Diagrams4.7 Probability Formulae4.8 Tree Diagrams  Chapter 44.1 Understanding the Vocabulary used in Probability4.2 Venn Diagrams4.3 Mutually Exclusive and Independent Events4.4 Set Notation4.5 Conditional Probability4.6 Conditional Probabilities in Venn Diagrams4.7 Probability Formulae4.8 Tree DiagramsExam Style Questions Review Exercise 1 Chapter 55.1 Scatter Diagrams5.2 Linear Regression5.3 Calculating Least Squares Linear Regression5.4 The Product Moment Correlation Coefficient Chapter 55.1 Scatter Diagrams5.2 Linear Regression5.3 Calculating Least Squares Linear Regression5.4 The Product Moment Correlation CoefficientExam style Questions Chapter 66.1 Discrete Random Variables6.2 Finding The cumulative Distribution Function for a Discrete Random Variable6.3 Expected values of Discrete Random Variables6.4 Variance of Discrete Random Variables6.5 Expected values and variance of a Function of X6.6 Solving Problems Involving Random Variables6.7 Using Discrete uniform Distribution as a Model for the Probability Distributuion of the Outcomes of Certain Experiments Chapter 66.1 Discrete Random Variables6.2 Finding The cumulative Distribution Function for a Discrete Random Variable6.3 Expected values of Discrete Random Variables6.4 Variance of Discrete Random Variables6.5 Expected values and variance of a Function of X6.6 Solving Problems Involving Random Variables6.7 Using Discrete uniform Distribution as a Model for the Probability Distributuion of the Outcomes of Certain ExperimentsExam Style Que Chapter 77.1 The Normal Distribution7.2 Using tables to find Probabilities of the Standard Normal Distribution7.3 Using the tables to find the value of z Given a Probability7.4 The Standard Normal Distribution 7.5 Finding Chapter 77.1 The Normal Distribution7.2 Using tables to find Probabilities of the Standard Normal Distribution7.3 Using the tables to find the value of z Given a Probability7.4 The Standard Normal Distribution 7.5 FindingExam style Que Review Exercise 2 Exam Practice Glossary Answers