Basic Statistics for Business and Economics Canadian 6th Edition Lind Solutions Manual

Basic Statistics for Business and Economics Canadian 6th Edition Lind Solutions Manual

Product details:

• ISBN-10 ‏ : ‎ 1259268934
• ISBN-13 ‏ : ‎ 978-1259268939
• Author; Samuel A. Wathen

Lind 6th Canadian Edition supports student learning by providing essential theory along with practical application. Lind provides students with an introduction to the many business applications of descriptive and inferential statistics. It maintains a student oriented learning approach – concepts are clearly presented and are supported by many examples and problems that are designed to teach the essential knowledge of statistics

Table contents:

CHAPTER 1: What Is Statistics?
CHAPTER 2: Describing Data: Frequency Tables, Frequency Distributions and Graphic Presentation
CHAPTER 3: Describing Data: Numerical Measures
CHAPTER 4: A Survey of Probability Concepts
CHAPTER 5: Discrete Probability Distributions
CHAPTER 6: Continuous Probability Distributions
CHAPTER 7: Sampling Methods and the Central Limit Theorem
CHAPTER 8: Estimation and Confidence Intervals
CHAPTER 9: One-Sample Tests of Hypothesis
CHAPTER 10: Two-Sample Tests of Hypothesis
CHAPTER 11: Analysis of Variance
CHAPTER 12: Linear Regression and Correlation
CHAPTER 13: Multiple Regression and Correlation Analysis
CHAPTER 14: Chi-Square Applications

CHAPTERS AVAILABLE ONLINE
CHAPTER 15: Index Numbers
CHAPTER 16: Time Series and Forecasting
CHAPTER 17: An Introduction to Decision Theory

APPENDICES
Appendix A.1: Answers to Odd-Numbered Chapter Exercises
Appendix A.2: Solutions to Practice Tests
Appendix B.1: Areas under the Normal Curve
Appendix B.2: Student’s t Distribution
Appendix B.3: Binomial Probability Distribution
Appendix B.4: Poisson Distribution
Appendix B.5: Table of Random Numbers
Appendix B.6: Critical Values of Chi-Square
Appendix B.7: Critical Values of the F Distribution at a 5% Level of Significance
Appendix B.8: MegaStat Quick Reference Guide (Online)
Appendix C: Data Sets (Online)

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