Packed with examples and real data, this edition intends to present an application-driven text developed especially for courses across the UK, Europe, the Middle East and Africa (EMEA). It helps students learn to identify the correct statistical technique, compute the statistics, and ultimately interpret results in the context of the problem.

PART 1: INTRODUCTION TO STATISTICS 1What Is Statistics? PART 2: DESCRIPTIVE STATISTICAL METHODS 2 Graphical Descriptive Techniques I 3 Graphical Descriptive Techniques II 4Numerical Descriptive Techniques 5 Data Collection and Sampling PART 3: PROBABILITY 6Probability 7 Random Variables and Discrete Probability Distributions 8 Continuous Probability Distributions PART 4: SAMPLING THEORY AND INFERENTIAL STATISTICS 9 Sampling Distributions 10 Introduction to Estimation 11 Introduction to Hypothesis Testing 12 Inference about Populations 13 Analysis of Variance 14 Chi-Squared Tests 15 Simple Linear Regression and Correlation 16 Multiple Regression PART 5: NONPARAMETRIC STATISTICS FOR ANALYSIS, CONTROL AND FORECASTING 17Nonparametric Statistics 18Time-Series Analysis and Forecasting 19Statistical Process Control 20Decision Analysis 21 Conclusion