Essentials of Modern Business Statistics With Microsoft Excel

ISBN-10: 0324312849
ISBN-13: 9780324312843
Edition: 3rd 2007
List price: $346.95
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Description: From the renowned author team that has been writing market-leading business statistics textbooks for more than 20 years, ESSENTIALS OF MODERN BUSINESS STATISTICS, 3e provides a brief introduction to business statistics that balances a conceptual  More...

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Book details

List price: $346.95
Edition: 3rd
Copyright year: 2007
Publisher: Cengage South-Western
Publication date: 4/7/2006
Binding: Hardcover
Pages: 728
Size: 8.00" wide x 10.25" long x 1.00" tall
Weight: 3.388
Language: English

From the renowned author team that has been writing market-leading business statistics textbooks for more than 20 years, ESSENTIALS OF MODERN BUSINESS STATISTICS, 3e provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The Third Edition contains the same student learning features that have made ASW products best-sellers for years; features include the problem-scenario approach and real-world examples that introduce statistical techniques.

Stephen Stoker of Weber State University in Ogden, UT, has taught the gamut of introductory chemistry courses, specializing in GOB, for the past 30 years. Weber State has a very large Health Professions school, and GOB is geared at students with little or no experience in chemistry (notably Allied Health and Nursing majors).Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.

Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.

Preface
About the Authors
Data and Statistics
Statistics in Practice: Business Week
Applications in Business and Economics
Accounting
Finance
Marketing
Production
Economics
Data
Elements, Variables, and Observations
Scales of Measurement
Qualitative and Quantitative Data
Cross-Sectional and Time Series Data
Data Sources
Existing Sources
Statistical Studies
Data Acquisition Errors
Descriptive Statistics
Statistical Inference
Statistical Analysis Using Microsoft Excel
Data Sets and Excel Worksheets
Using Excel for Statistical Analysis
Summary
Glossary
Supplementary Exercises
An Introduction to SWStat+
Descriptive Statistics: Tabular and Graphical Presentations
Statistics in Practice: Colgate-Palmolive Company
Summarizing Qualitative Data
Frequency Distribution
Using Excel's COUNTIF Function to Construct a Frequency Distribution
Relative Frequency and Percent Frequency Distributions
Using Excel to Construct Relative Frequency and Percent Frequency Distributions
Bar Graphs and Pie Charts
Using Excel's Chart Wizard to Construct Bar Graphs and Pie Charts
Summarizing Quantitative Data
Frequency Distribution
Using Excel's FREQUENCY Function to Construct a Frequency Distribution
Relative Frequency and Percent Frequency Distributions
Histogram
Using Excel's Chart Wizard to Construct a Histogram
Cumulative Distributions
Using Excel's Histogram Tool to Construct a Frequency Distribution and Histogram
Exploratory Data Analysis: The Stem-and-Leaf Display
Crosstabulations and Scatter Diagrams
Crosstabulation
Using Excel's PivotTable Report to Construct a Crosstabulation
Simpson's Paradox
Scatter Diagram and Trendline
Using Excel's Chart Wizard to Construct a Scatter Diagram and a Trendline
Summary
Glossary
Key Formulas
Supplementary Exercises
Case Problem Pelican Stores
Descriptive Statistics: Numerical Measures
Statistics in Practice: Small Fry Design
Measures of Location
Mean
Median
Mode
Using Excel to Compute the Mean, Median, and Mode
Percentiles
Quartiles
Using Excel's Rank and Percentile Tool to Compute Percentiles and Quartiles
Measures of Variability
Range
Interquartile Range
Variance
Standard Deviation
Using Excel to Compute the Sample Variance and Sample Standard Deviation
Coefficient of Variation
Using Excel's Descriptive Statistics Tool
Measures of Distribution Shape, Relative Location, and Detecting Outliers
Distribution Shape
z-Scores
Chebyshev's Theorem
Empirical Rule
Detecting Outliers
Exploratory Data Analysis
Five-Number Summary
Box Plot
Measures of Association Between Two Variables
Covariance
Interpretation of the Covariance
Correlation Coefficient
Interpretation of the Correlation Coefficient
Using Excel to Compute the Covariance and Correlation Coefficient
The Weighted Mean and Working with Grouped Data
Weighted Mean
Grouped Data
Summary
Glossary
Key Formulas
Supplementary Exercises
Pelican Stores
National Health Care Association
Business Schools of Asia-Pacific
Constructing a Box Plot Using SWStat+
Introduction to Probability
Statistics in Practice: Morton International
Experiments, Counting Rules, and Assigning Probabilities
Counting Rules, Combinations, and Permutations
Assigning Probabilities
Probabilities for the KP&L Project
Events and Their Probabilities
Some Basic Relationships of Probability
Complement of an Event
Addition Law
Conditional Probability
Independent Events
Multiplication Law
Bayes' Theorem
Tabular Approach
Using Excel to Compute Posterior Probabilities
Summary
Glossary
Key Formulas
Supplementary Exercises
Case Problem Hamilton County Judges
Discrete Probability Distributions
Statistics in Practice: Citibank
Random Variables
Discrete Random Variables
Continuous Random Variables
Discrete Probability Distributions
Expected Value and Variance
Expected Value
Variance
Using Excel to Compute the Expected Value, Variance, and Standard Deviation
Binomial Probability Distribution
A Binomial Experiment
Martin Clothing Store Problem
Using Excel to Compute Binomial Probabilities
Expected Value and Variance for the Binomial Probability Distribution
Poisson Probability Distribution
An Example Involving Time Intervals
An Example Involving Length or Distance Intervals
Using Excel to Compute Poisson Probabilities
Hypergeometric Probability Distribution
Using Excel to Compute Hypergeometric Probabilities
Summary
Glossary
Key Formulas
Supplementary Exercises
Continuous Probability Distributions
Statistics in Practice: Procter & Gamble
Uniform Probability Distribution
Area as a Measure of Probability
Normal Probability Distribution
Normal Curve
Standard Normal Probability Distrbution
Computing Probabilities for Any Normal Probability Distribution
Grear Tire Company Problem
Using Excel to Compute Normal Probabilities
Exponential Probability Distribution
Computing Probabilities for the Exponential Distribution
Relationship Between the Poisson and Exponential Distributions
Using Excel to Compute Exponential Probabilities
Summary
Glossary
Key Formulas
Supplementary Exercises
Case Problem Specialty Toys
Sampling and Sampling Distributions
Statistics in Practice: MeadWestvaco Corporation
The Electronics Associates Sampling Problem
Simple Random Sampling
Sampling from a Finite Population
Sampling from an Infinite Population
Point Estimation
Introduction to Sampling Distributions
Sampling Distribution of x
Expected Value of x
Standard Deviation of x
Form of the Sampling Distribution of x
Sampling Distribution of x for the EAI Problem
Practical Value of the Sampling Distribution of x
Relationship Between Sample Size and the Sampling Distribution of x
Sampling Distribution of p
Expected Value of p
Standard Deviation of p
Form of the Sampling Distribution of p
Practical Value of the Sampling Distribution of p
Sampling Methods
Stratified Random Sampling
Cluster Sampling
Systematic Sampling
Convenience Sampling
Judgment Sampling
Summary
Glossary
Key Formulas
Supplementary Exercises
Interval Estimation
Statistics in Practice: Food Lion
Population Mean: [sigma] Known
Margin of Error and the Interval Estimate
Using Excel
Practical Advice
Population Mean: [sigma] Unknown
Margin of Error and the Interval Estimate
Using Excel
Practical Advice
Using a Small Sample
Summary of Interval Estimation Procedures
Determining the Sample Size
Population Proportion
Using Excel
Determining the Sample Size
Summary
Glossary
Key Formulas
Supplementary Exercises
Bock Investment Services
Gulf Real Estate Properties
Metropolitan Research, Inc.
Hypothesis Tests
Statistics in Practice: John Morrell & Company
Developing Null and Alternative Hypotheses
Testing Research Hypotheses
Testing the Validity of a Claim
Testing in Decision-Making Situations
Summary of Forms for Null and Alternative Hypotheses
Type I and Type II Errors
Population Mean: [sigma] Known
One-Tailed Test
Two-Tailed Test
Using Excel
Summary and Practical Advice
Relationship Between Interval Estimation and Hypothesis Testing
Population Mean: [sigma] Unknown
One-Tailed Test
Two-Tailed Test
Using Excel
Summary and Practical Advice
Population Proportion
Using Excel
Summary
Summary
Glossary
Key Formulas
Supplementary Exercises
Quality Associates, Inc.
Unemployment Study
Comparisons Involving Means
Statistics in Practice: Fisons Corporation
Inferences About the Difference Between Two Population Means: [sigma subscript 1] and [sigma subscript 2] Known
Interval Estimation of [mu subscript 1] - [mu subscript 2]
Using Excel to Construct a Confidence Interval
Hypothesis Tests About [mu subscript 1] - [mu subscript 2]
Using Excel to Conduct a Hypothesis Test
Practical Advice
Inferences About the Difference Between Two Population Means: [sigma subscript 1] and [sigma subscript 2] Unknown
Interval Estimation of [mu subscript 1] - [mu subscript 2]
Using Excel to Construct a Confidence Interval
Hypothesis Tests About [mu subscript 1] - [mu subscript 2]
Using Excel to Conduct a Hypothesis Test
Practical Advice
Inferences About the Difference Between Two Population Means: Matched Samples
Using Excel to Conduct a Hypothesis Test
Introduction to Analysis of Variance
Assumptions for Analysis of Variance
Conceptual Overview
Analysis of Variance: Testing for the Equality of k Population Means
Between-Treatments Estimate of Population Variance
Within-Treatments Estimate of Population Variance
Comparing the Variance Estimates: The F Test
ANOVA Table
Using Excel
Summary
Glossary
Key Formulas
Supplementary Exercises
Par, Inc.
Wentworth Medical Center
Compensation for ID Professionals
Comparisons Involving Proportions and a Test of Independence
Statistics in Practice: United Way
Inferences About the Difference Between Two Population Proportions
Interval Estimation of p[subscript 1] - p[subscript 2]
Using Excel to Construct a Confidence Interval
Hypothesis Tests About p[subscript 1] - p[subscript 2]
Using Excel to Conduct a Hypothesis Test
Hypothesis Test for Proportions of a Multinomial Population
Using Excel to Conduct a Goodness of Fit Test
Test of Independence
Using Excel to Conduct a Test of Independence
Summary
Glossary
Key Formulas
Supplementary Exercises
Case Problem A Bipartisan Agenda for Change
Simple Linear Regression
Statistics in Practice: Alliance Data Systems
Simple Linear Regression Model
Regression Model and Regression Equation
Estimated Regression Equation
Least Squares Method
Using Excel to Develop a Scatter Diagram and Compute the Estimated Regression Equation
Coefficient of Determination
Using Excel to Compute the Coefficient of Determination
Correlation Coefficient
Model Assumptions
Testing for Significance
Estimate of [sigma superscript 2]
t Test
Confidence Interval for [beta subscript 1]
F Test
Some Cautions About the Interpretation of Significance Tests
Excel's Regression Tool
Using Excel's Regression Tool for the Armand's Pizza Parlors Problem
Interpretation of Estimated Regression Equation Output
Interpretation of ANOVA Output
Interpretation of Regression Statistics Output
Using the Estimated Regression Equation for Estimation and Prediction
Point Estimation
Interval Estimation
Confidence Interval Estimate of the Mean Value of y
Prediction Interval Estimate of an Individual Value of y
Using Excel to Develop Confidence and Prediction Interval Estimates
Residual Analysis: Validating Model Assumptions
Residual Plot Against x
Residual Plot Against y
Using Excel's Regression Tool to Construct a Residual Plot
Summary
Glossary
Key Formulas
Supplementary Exercises
Spending and Student Achievement
U.S. Department of Transportation
Alumni Giving
Major League Baseball Teams Values
Regression Analysis with SWStat+
Multiple Regression
Statistics in Practice: International Paper
Multiple Regression Model
Regression Model and Regression Equation
Estimated Multiple Regression Equation
Least Squares Method
An Example: Butler Trucking Company
Using Excel's Regression Tool to Develop the Estimated Multiple Regression Equation
Note on Interpretation of Coefficients
Multiple Coefficient of Determination
Model Assumptions
Testing for Significance
F Test
t Test
Multicollinearity
Using the Estimated Regression Equation for Estimation and Prediction
Qualitative Independent Variables
An Example: Johnson Filtration, Inc.
Interpreting the Parameters
More Complex Qualitative Variables
Summary
Glossary
Key Formulas
Supplementary Exercises
Consumer Research, Inc.
Predicting Student Proficiency Test Scores
Alumni Giving
Multiple Regression Analysis with SWStat+
Statistical Methods for Quality Control
Statistics in Practice: Dow Chemical
Philosophies and Frameworks
Malcolm Baldrige National Quality Award
ISO 9000
Six Sigma
Statistical Process Control
Control Charts
x Chart: Process Mean and Standard Deviation Known
x Chart: Process Mean and Standard Deviation Unknown
R Chart
Using Excel to Construct an R Chart and an x Chart
p Chart
np Chart
Interpretation of Control Charts
Acceptance Sampling
KALI, Inc.: An Example of Acceptance Sampling
Computing the Probability of Accepting a Lot
Selecting an Acceptance Sampling Plan
Multiple Sampling Plans
Summary
Glossary
Key Formulas
Supplementary Exercises
References and Bibliography
Tables
Summation Notation
Self-Test Solutions and Answers to Even-Numbered Exercises
Using Excel Functions
Index

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