David Doane, Lori Seward

Applied Statistics in Business and Economics: 2024 Release ISE

• Broschiertes Buch

Produktbeschreibung

The 2024 release of Applied Statistics in Business and Economics offers a complete yet student-friendly application-based approach necessary for student success in the classroom and beyond. This title continues to focus on Excel and business applications, with new Integrated Excel exercises and concept videos, while also taking into account that the analytics world is using more sophisticated tools with the addition of an optional section on R for each chapter to expose students to the application of R to solve statistical problems. This title also includes updated and applicable Analytics in Action briefings and Mini Cases in each chapter to help students tie concepts to real-world situations found in today's business environment, further promoting career-readiness.

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Produktdetails

• Verlag: McGraw-Hill Education
• 8 ed
• Seitenzahl: 840
• Erscheinungstermin: 16. Februar 2024
• Englisch
• Abmessung: 216mm x 276mm x 30mm
• Gewicht: 1536g
• ISBN-13: 9781266798641
• ISBN-10: 1266798641
• Artikelnr.: 69188013

Autorenporträt

David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School.

Inhaltsangabe

1 Overview of Statistics
2 Data Collection
3 Describing Data Visually
4 Descriptive Statistics
5 Probability
6 Discrete Probability Distributions
7 Continuous Probability Distributions
8 Sampling Distributions and Estimation
9 One-Sample Hypothesis Tests
10 Two-Sample Hypothesis Tests
11 Analysis of Variance
12 Simple Regression
13 Multiple Regression
14 Time-Series Analysis
15 Chi-Square Tests
16 Nonparametric Tests
17 Quality Management
18 Simulation
Appendix A: Binomial Probabilities
Appendix B: Poisson Probabilities
Appendix C-1: Standard Normal Areas
Appendix C-2: Cumulative Standard Normal Distribution
Appendix D: Student's t Critical Values
Appendix E: Chi-Square Critical Values
Appendix F: Critical Values of F.10
Appendix G: Solutions to Odd-Numbered Exercises
Appendix H: Answers to Exam Review Questions
Appendix I: Writing and Presenting Reports
Appendix J: Statistics in Excel and R
Appendix K: Using R and RStudio