Statistics for business / Derek L. Waller.

Format:

Book

Author/Creator:

Waller, Derek L., author.

Contributor:

ProQuest.

Standardized Title:

Statistics for Business (Online)

Language:

English

Subjects (All):

Commercial statistics.

Statistics.

Physical Description:

1 online resource (523 pages)

Edition:

1st ed.

Place of Publication:

New York : Routledge April 2008 Florence : Taylor & Francis Group [distributor]

Language Note:

English

System Details:

text file

Summary:

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.

Contents:

Front Cover; Statistics for business; Copyright Page; Contents; About this book; 1. Presenting and organizing data; Numerical Data; Categorical Data; Chapter Summary; Exercise Problems; 2. Characterizing and defining data; Central Tendency of Data; Dispersion of Data; Quartiles; Percentiles; Chapter Summary; Exercise Problems; 3. Basic probability and counting rules; Basic Probability Rules; System Reliability and Probability; Counting Rules; Chapter Summary; Exercise Problems; 4. Probability analysis for discrete data; Distribution for Discrete Random Variables; Binomial Distribution

Poisson Distribution; Chapter Summary; Exercise Problems; 5. Probability analysis in the normal distribution; Describing the Normal Distribution; Demonstrating That Data Follow a Normal Distribution; Using a Normal Distribution to Approximate a Binomial Distribution; Chapter Summary; Exercise Problems; 6. Theory and methods of statistical sampling; Statistical Relationships in Sampling for the Mean; Sampling for the Means from an Infinite Population; Sampling for the Means from a Finite Population; Sampling Distribution of the Proportion; Sampling Methods; Chapter Summary; Exercise Problems

7. Estimating population characteristics; Estimating the Mean Value; Estimating the Mean Using the Student-t Distribution; Estimating and Auditing; Estimating the Proportion; Margin of Error and Levels of Confidence; Chapter Summary; Exercise Problems; 8. Hypothesis testing of a single population; Concept of Hypothesis Testing; Hypothesis Testing for the Mean Value; Hypothesis Testing for Proportions; The Probability Value in Testing Hypothesis; Risks in Hypothesis Testing; Chapter Summary; Exercise Problems; 9. Hypothesis testing for different populations

Difference Between the Mean of Two Independent Populations; Differences of the Means Between Dependent or Paired Populations; Difference Between the Proportions of Two Populations with Large Samples; Chi-Square Test for Dependency; Chapter Summary; Exercise Problems; 10. Forecasting and estimating from correlated data; A Time Series and Correlation; Linear Regression in a Time Series Data; Linear Regression and Causal Forecasting; Forecasting Using Multiple Regression; Forecasting Using Non-linear Regression; Seasonal Patterns in Forecasting; Considerations in Statistical Forecasting

Chapter Summary; Exercise Problems; 11. Indexing as a method for data analysis; Relative Time-Based Indexes; Relative Regional Indexes; Weighting the Index Number; Chapter Summary; Exercise Problems; Appendix I: Key Terminology and Formula in Statistics; Appendix II: Guide for Using Microsoft Excel 2003 in This Textbook; Appendix III: Mathematical Relationships; Appendix IV: Answers to End of Chapter Exercises; Bibliography; Index

Notes:

Includes bibliographical references and index.

OCLC-licensed vendor bibliographic record.

ISBN:

9786612711107

9781136363702

113636370X

9781136363719

1136363718

9781282711105

1282711105

9780080560267

0080560261

OCLC:

635293720

Publisher Number:

9780080560267