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Statistics for Business

ISBN-10: 075068660X

ISBN-13: 9780750686600

Edition: 2008

Authors: Derek L. Waller

List price: $73.95
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This is a highly user-friendly text aimed at both MBA and undergraduate students to give a strong foundation in presenting and interpreting statistical information in a business or management environment. Based entirely on using Microsoft Excel rather than more complicated packages, 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, to get them up to speed. Each chapter has worked examples and explanations complete with calculation methods and descriptions of which statistical functions in Excel to use. This is everything you need to get you confidently using and interpreting statistics for business. * Accessible and practical, this text is based entirely on Microsoft Excel - its graphic capabilities and built in statistical functions * Each chapter features 15 multi-part exercises and one case - all based on real-world situations * A complete package - includes answers to all questions within the book and an accompanying CDROM containing the databases for worked examples and the end of chapter exercises
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Book details

List price: $73.95
Copyright year: 2008
Publisher: Routledge
Publication date: 7/15/2011
Binding: Paperback
Pages: 536
Size: 7.25" wide x 9.50" long x 1.25" tall
Weight: 2.838
Language: English

About this book
Presenting and organizing data
Numerical Data
Categorical Data
Chapter Summary
Exercise Problems
Characterizing and defining data
Central Tendency of Data
Dispersion of Data
Chapter Summary
Exercise Problems
Basic probability and counting rules
Basic Probability Rules
System Reliability and Probability
Counting Rules
Chapter Summary
Exercise Problems
Probability analysis for discrete data
Distribution for Discrete Random Variables
Binomial Distribution
Poisson Distribution
Chapter Summary
Exercise Problems
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
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
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
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
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
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
Indexing as a method for data analysis
Relative Time-Based Indexes
Relative Regional Indexes
Weighting the Index Number
Chapter Summary
Exercise Problems
Key Terminology and Formula in Statistics
Guide for Using Microsoft Excel 2003 in This Textbook
Mathematical Relationships
Answers to End of Chapter Exercises