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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

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Keller, Gerald
Dr. Gerald Keller is Emeritus Professor of Business at Wilfrid Laurier University, where he taught statistics, management science, and operations management from 1974 to 2011. He also taught at the University of Toronto, the University of Miami, McMaster University, the University of Windsor, and the Beijing Institute of Science and Technology. In addition to consulting with banks on credit scoring and credit card fraud, Dr. Keller has conducted market surveys for the Canadian government on energy conservation. His books include BSTAT, 2e, APPLIED STATISTICS WITH MICROSOFT EXCEL, ESSENTIALS OF BUSINESS STATISTICS (co-authored), AUSTRALIAN BUSINESS STATISTICS (co-authored), and STATISTICS LABORATORY MANUAL EXPERIMENTS USING MINITAB. Dr. Keller also has been published in OMEGA, IIE TRANSACTIONS, DECISION SCIENCES, INFOR, ECONOMICS LETTERS, and ARCHIVES OF SURGERY.

Gaciu, Nicoleta
Nicoleta Gaciu is Senior Lecturer in Education: Secondary Science / SKE Course Leader at Oxford Brookes University. Nicoleta is a member of the Institute of Physics (MInstP), Fellow of Higher Education Academy (FHEA), and BELMAS member.

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