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.
Table of contents:
1 What Is Statistics?
2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3 Describing Data: Numerical Measures
4 Describing Data: Displaying and Exploring Data
5 A Survey of Probability Concepts
6 Discrete Probability Distributions
7 Continuous Probability Distributions
8 Sampling Methods and the Central Limit Theorem
9 Estimation and Confidence Intervals
10 One-Sample Tests of Hypothesis
11 Two-Sample Tests of Hypothesis
12 Analysis of Variance
13 Linear Regression and Correlation
14 Multiple Regressions and Correlation Analysis
15 Index Numbers
16 Time Series and Forecasting
17 Nonparametric Methods: Chi-Square Applications
18 Nonparametric Methods: Analysis of Ranked Data
19 Statistical Process Control and Quality Management
20 An Introduction to Decision Theory
MegaStat for Excel
Visual Statistics 2.0
Appendixes
Photo Credits
Index
Table of contents:
1 What Is Statistics?
2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3 Describing Data: Numerical Measures
4 Describing Data: Displaying and Exploring Data
5 A Survey of Probability Concepts
6 Discrete Probability Distributions
7 Continuous Probability Distributions
8 Sampling Methods and the Central Limit Theorem
9 Estimation and Confidence Intervals
10 One-Sample Tests of Hypothesis
11 Two-Sample Tests of Hypothesis
12 Analysis of Variance
13 Linear Regression and Correlation
14 Multiple Regressions and Correlation Analysis
15 Index Numbers
16 Time Series and Forecasting
17 Nonparametric Methods: Chi-Square Applications
18 Nonparametric Methods: Analysis of Ranked Data
19 Statistical Process Control and Quality Management
20 An Introduction to Decision Theory
MegaStat for Excel
Visual Statistics 2.0
Appendixes
Photo Credits
Index