Managerial Statistics by Gerald Keller is an established and worldwide bestselling business statistics text. Packed with examples and real data, UK-based author Nicoleta Gaciu joins Gerald Keller in this new edition to present a comprehensive, application-driven text developed and tailored especially for courses across the UK, Europe, the Middle East and Africa (EMEA). Through Keller’s unique three-step approach to problem solving, 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
1 What Is Statistics?

PART 2: DESCRIPTIVE STATISTICAL METHODS
2 Graphical Descriptive Techniques I
3 Graphical Descriptive Techniques II
4 Numerical Descriptive Techniques
5 Data Collection and Sampling

PART 3: PROBABILITY
6 Probability
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
17 Nonparametric Statistics
18 Time-Series Analysis and Forecasting
19 Statistical Process Control
20 Decision Analysis
21 Conclusion

Managerial Statistics by Gerald Keller is an established and worldwide bestselling business statistics text. Packed with examples and real data, UK-based author Nicoleta Gaciu joins Gerald Keller in this new edition to present a comprehensive, application-driven text developed and tailored especially for courses across the UK, Europe, the Middle East and Africa (EMEA). Through Keller’s unique three-step approach to problem solving, students learn to identify the correct statistical technique, compute the statistics, and ultimately interpret results in the context of the problem. Streamlined content to present a slimmer and more accessible text meeting the needs of typical courses. Greater emphasis on, and explanation of, new terminology, symbols and formulae as and when they are first introduced, helping students integrate these new elements into their thinking. Parts have been introduced, grouping together topics methodically for easy reference. A new, user-friendly text design making the text easier to navigate. Brimming with exercises and examples from the UK, Europe, the Middle East and Africa that help put the concepts into a context that is familiar to students from the region. The emphasis on identification and interpretation provides students with practical skills they can apply to real-world problems, whether the course uses manual or computer calculations. The opportunity to convert real data into information, and the optional use of the computer allows for larger and more realistic exercises and examples. A substantial number of data files and corresponding problems provide ample opportunities to practice data analysis and decision making skills and to interpret statistical results. An array of accompanying online materials including additional chapter content, appendices, exercises, Excel and Minitab data files, and solutions for instructors presents further opportunities for both classroom assignment and self-study.