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Statistics for Business

Book Description

Statistical analysis is essential to business decision-making and management, but the underlying theory of data collection, organization and analysis is one of the most challenging topics for business students and practitioners. This user-friendly text and CD-ROM package will help you to develop strong skills in presenting and interpreting statistical information in a business or management environment.

Based entirely on using Microsoft Excel rather than more complicated applications, it includes a clear guide to using Excel with the key functions employed in the book, a glossary of terms and equations, plus a section specifically for those readers who feel rusty in basic maths. Each chapter has worked examples and explanations to illustrate the use of statistics in real life scenarios, with databases for the worked examples, cases and answers on the accompanying CD-ROM.

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