This title is being sold in the downloadable VitalBook™ format.
The new edition of Lind’s Statistical Techniques in Business and Economics is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student-friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students’ text with increased emphasis on interpretation of data and results. Students that choose the VitalBook version of this title have access to powerful digital learning tools. Students can share notes with others, customize the appearance and layout of the content, and organize all their digital course materials from a single program. VitalSource is a downloadable eBook. Students can install their eBook on up to two machines. Students can also print sections of the book for maximum portability.
This title will only allow printing of 2 consecutive pages and copying of 2 consecutive pages at a time.
Table of Contents
- Front Matter
- Chapter 1 What Is Statistics?
- Chapter 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
- Chapter 3 Describing Data: Numerical Measures
- Chapter 4 Describing Data: Displaying and Exploring Data
- Chapter 5 A Survey of Probability Concepts
- Chapter 6 Discrete Probability Distributions
- Chapter 7 Continuous Probability Distributions
- Chapter 8 Sampling Methods and the Central Limit Theorem
- Chapter 9 Estimation and Confidence Intervals
- Chapter 10 One-Sample Tests of Hypothesis
- Chapter 11 Two-Sample Tests of Hypothesis
- Chapter 12 Analysis of Variance
- Chapter 13 Linear Regression and Correlation
- Chapter 14 Multiple Regression and Correlation Analysis
- Chapter 15 Index Numbers
- Chapter 16 Time Series and Forecasting
- Chapter 17 Nonparametric Methods: Chi-Square Applications
- Chapter 18 Nonparametric Methods: Analysis of Ranked Data
- Chapter 19 Statistical Process Control and Quality Management
- Chapter 20 An Introduction to Decision Theory
- Back Matter
