Statistics for Business

Table of contents

1. Cover
2. Half Title
3. Title Page
4. Copyright
5. Dedication
6. Contents
7. About this book
8. 1. Presenting and organizing data
   1. Numerical Data
   2. Categorical Data
   3. Chapter Summary
   4. Exercise Problems
9. 2. Characterizing and defining data
   1. Central Tendency of Data
   2. Dispersion of Data
   3. Quartiles
   4. Percentiles
   5. Chapter Summary
   6. Exercise Problems
10. 3. Basic probability and counting rules
    1. Basic Probability Rules
    2. System Reliability and Probability
    3. Counting Rules
    4. Chapter Summary
    5. Exercise Problems
11. 4. Probability analysis for discrete data
    1. Distribution for Discrete Random Variables
    2. Binomial Distribution
    3. Poisson Distribution
    4. Chapter Summary
    5. Exercise Problems
12. 5. Probability analysis in the normal distribution
    1. Describing the Normal Distribution
    2. Demonstrating That Data Follow a Normal Distribution
    3. Using a Normal Distribution to Approximate a Binomial Distribution
    4. Chapter Summary
    5. Exercise Problems
13. 6. Theory and methods of statistical sampling
    1. Statistical Relationships in Sampling for the Mean
    2. Sampling for the Means from an Infinite Population
    3. Sampling for the Means from a Finite Population
    4. Sampling Distribution of the Proportion
    5. Sampling Methods
    6. Chapter Summary
    7. Exercise Problems
14. 7. Estimating population characteristics
    1. Estimating the Mean Value
    2. Estimating the Mean Using the Student-t Distribution
    3. Estimating and Auditing
    4. Estimating the Proportion
    5. Margin of Error and Levels of Confidence
    6. Chapter Summary
    7. Exercise Problems
15. 8. Hypothesis testing of a single population
    1. Concept of Hypothesis Testing
    2. Hypothesis Testing for the Mean Value
    3. Hypothesis Testing for Proportions
    4. The Probability Value in Testing Hypothesis
    5. Risks in Hypothesis Testing
    6. Chapter Summary
    7. Exercise Problems
16. 9. Hypothesis testing for different populations
    1. Difference Between the Mean of Two Independent Populations
    2. Differences of the Means Between Dependent or Paired Populations
    3. Difference Between the Proportions of Two Populations with Large Samples
    4. Chi-Square Test for Dependency
    5. Chapter Summary
    6. Exercise Problems
17. 10. Forecasting and estimating from correlated data
    1. A Time Series and Correlation
    2. Linear Regression in a Time Series Data
    3. Linear Regression and Causal Forecasting
    4. Forecasting Using Multiple Regression
    5. Forecasting Using Non-linear Regression
    6. Seasonal Patterns in Forecasting
    7. Considerations in Statistical Forecasting
    8. Chapter Summary
    9. Exercise Problems
18. 11. Indexing as a method for data analysis
    1. Relative Time-Based Indexes
    2. Relative Regional Indexes
    3. Weighting the Index Number
    4. Chapter Summary
    5. Exercise Problems
19. Appendix I: Key Terminology and Formula in Statistics
20. Appendix II: Guide for Using Microsoft Excel 2003 in This Textbook
21. Appendix III: Mathematical Relationships
22. Appendix IV: Answers to End of Chapter Exercises
23. Bibliography
24. Index