David Levine, David Stephan, Kathryn Szabat

Statistics for Managers Using Microsoft Excel, Global Edition

• Broschiertes Buch

Produktbeschreibung

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For one-semester courses in Introduction to Business Statistics. The gold standard in learning Microsoft Excel for business statistics Statistics for Managers Using Microsoft® Excel®, 9th Edition, Global Edition helps students develop the knowledge of Excel needed in future careers. The authors present statistics in the context of specific business fields, and now include a full chapter on business analytics. Guided by principles set forth by ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. Current data throughout gives students valuable practice analyzing the types of data they will see in their professions, and the authors' friendly writing style includes tips and learning aids throughout. The book also integrates PHStat, a statistical add-in that bolsters the functions of Excel. Extensive instructor and student resources are provided, including two online-only chapters, as well as the Digital Cases referenced in the text. Pearson MyLab Statistics is not included. Students, if Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

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Produktdetails

• Verlag: Pearson Education Limited
• 9 ed
• Seitenzahl: 752
• Erscheinungstermin: 14. August 2020
• Englisch
• Abmessung: 218mm x 277mm x 29mm
• Gewicht: 1474g
• ISBN-13: 9781292338248
• ISBN-10: 1292338245
• Artikelnr.: 59993823

Inhaltsangabe

1 Defining and Collecting Data
2 Organizing and Visualizing Variables
3 Numerical Descriptive Measures
4 Basic Probability
5 Discrete Probability Distributions
6 The Normal Distribution and Other Continuous Distributions
7 Sampling Distributions
8 Confidence Interval Estimation
9 Fundamentals of Hypothesis Testing: One-Sample Tests
10 Two-Sample Tests
11 Analysis of Variance
12 Chi-Square and Nonparametric Tests
13 Simple Linear Regression
14 Introduction to Multiple Regression
15 Multiple Regression Model Building
16 Time-Series Forecasting
17 Business Analytics
18 Getting Ready to Analyze Data in the Future Download the detailed table of contents