This is completed downloadable of Practical Business Statistics 7th Edition Siegel Solutions Manual
Product Details:
- ISBN-10 : 0128042508
- ISBN-13 : 978-0128042502
- Author: Andrew F. Siegel
Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This valuable, accessible approach teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results.
The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.
Table of Content:
Dedication
Preface
About the Author
Part I: Introduction and Descriptive Statistics
- Introduction
- Chapter 1: Introduction: Defining the Role of Statistics in Business
- Chapter 2: Data Structures: Classifying the Various Types of Data Sets
- Chapter 3: Histograms: Looking at the Distribution of Data
- Chapter 4: Landmark Summaries: Interpreting Typical Values and Percentiles
- Chapter 5: Variability: Dealing with Diversity
Part II: Probability
- Introduction
- Chapter 6: Probability: Understanding Random Situations
- Chapter 7: Random Variables: Working with Uncertain Numbers
Part III: Statistical Inference
- Introduction
- Chapter 8: Random Sampling: Planning Ahead for Data Gathering
- Chapter 9: Confidence Intervals: Admitting That Estimates Are Not Exact
- Chapter 10: Hypothesis Testing: Deciding Between Reality and Coincidence
Part IV: Regression and Time Series
- Introduction
- Chapter 11: Correlation and Regression: Measuring and Predicting Relationships
- Chapter 12: Multiple Regression: Predicting One Variable From Several Others
- Chapter 13: Report Writing: Communicating the Results of a Multiple Regression
- Chapter 14: Time Series: Understanding Changes Over Time
Part V: Methods and Applications
- Introduction
- Chapter 15: ANOVA: Testing for Differences Among Many Samples and Much More
- Chapter 16: Nonparametrics: Testing with Ordinal Data or Nonnormal Distributions
- Chapter 17: Chi-Squared Analysis: Testing for Patterns in Qualitative Data
- Chapter 18: Quality Control: Recognizing and Managing Variation
Appendix A: Employee Database
Appendix B: Donations Database
Appendix C: Self-Test: Solutions to Selected Problems and Database Exercises
Appendix D: Statistical Tables
- Table D.5 R2 Table: Level 5% Critical Values (Significant)
Glossary
Index
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