Test Bank for Modern Business Statistics, 7th Edition, 7e by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams ISBN-13: 9780357131657

CLICK TO ACCESS: Test Bank for Modern Business Statistics, 7th Edition, 7e by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams TEST BANK 

ISBN-13: 9780357131657

TABLE FOR CONTENTS

Chapter 1: Data and Statistics

1.1 Applications in Business and Economics

1.2 Data

1.3 Data Sources

1.4 Descriptive Statistics

1.5 Statistical Inference

1.6 Statistical Analysis Using Microsoft Excel

1.7 Analytics

1.8 Big Data and Data Mining

1.9 Ethical Guidelines for Statistical Practice

Summary

Glossary

Supplementary Exercises

 

Chapter 2: Descriptive Statistics: Tabular and Graphical Displays

2.1 Summarizing Data for a Categorical Variable

2.2 Summarizing Data for a Quantitative Variable

2.3 Summarizing Data for Two Variables Using Tables

2.4 Summarizing Data for Two Variables Using Graphical Displays

2.5 Data Visualization: Best Practices in Creating Effective Graphical Displays

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Pelican Stores

Case Problem 2: Movie Theater Releases

Case Problem 3: Queen City

Case Problem 4: Cut-Rate Machining, Inc.

 

Chapter 3: Descriptive Statistics: Numerical Measures

3.1 Measures of Location

3.2 Measures of Variability

3.3 Measures of Distribution Shape, Relative Location, and Detecting Outliers

3.4 Five-Number Summaries and Boxplots

3.5 Measures of Association between Two Variables

3.6 Data Dashboards: Adding Numerical Measures to Improve Effectiveness

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Pelican Stores

Case Problem 2: Movie Theater Releases

Case Problem 3: Business Schools of Asia-Pacific

Case Problem 4: Heavenly Chocolates Website Transactions

Case Problem 5: African Elephant Populations

 

Chapter 4: Introduction to Probability

4.1 Experiments, Counting Rules, and Assigning Probabilities

4.2 Events and Their Probabilities

4.3 Some Basic Relationships of Probability

4.4 Conditional Probability

4.5 Bayes' Theorem

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Hamilton County Judges

Case Problem 2: Rob's Market

 

Chapter 5: Discrete Probability Distributions

5.1 Random Variables

5.2 Developing Discrete Probability Distributions

5.3 Expected Value and Variance

5.4 Bivariate Distributions, Covariance, and Financial Portfolios

5.5 Binomial Probability Distribution

5.6 Poisson Probability Distribution

5.7 Hypergeometric Probability Distribution

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Go Bananas! Breakfast Cereal

Case Problem 2: McNeil's Auto Mall

Case Problem 3: Grievance Committee at Tuglar Corporation

Case Problem 4: Sagittarius Casino

 

CLICK TO ACCESS: Test Bank for Modern Business Statistics, 7th Edition, 7e by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams TEST BANK 

ISBN-13: 9780357131657

Chapter 6: Continuous Probability Distributions

6.1 Uniform Probability Distribution

6.2 Normal Probability Distribution

6.3 Exponential Probability Distribution

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Specialty Toys

Case Problem 2: Gebhardt Electronics

 

Chapter 7: Sampling and Sampling Distributions

7.1 The Electronics Associates Sampling Problem

7.2 Selecting a Sample

7.3 Point Estimation

7.4 Introduction to Sampling Distributions

7.5 Sampling Distribution of x

7.6 Sampling Distribution of p

7.7 Other Sampling Methods

7.8 Practical Advice: Big Data and Errors in Sampling

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem: Marion Dairies

 

Chapter 8: Interval Estimation

8.1 Population Mean: o Known

8.2 Population Mean: o Unknown

8.3 Determining the Sample Size

8.4 Population Proportion

8.5 Practical Advice: Big Data and Interval Estimation

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Young Professional Magazine

Case Problem 2: GULF Real Estate Properties

Case Problem 3: Metropolitan Research, Inc.

 

Chapter 9: Hypothesis Tests

9.1 Developing Null and Alternative Hypotheses

9.2 Type I and Type II Errors

9.3 Population Mean: o Known

9.4 Population Mean: o Unknown

9.5 Population Proportion

9.6 Practical Advice: Big Data and Hypothesis Testing

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Quality Associates, Inc.

Case Problem 2: Ethical Behavior of Business Students at Bayview University

 

Chapter 10: Inference about Means and Proportions with Two Populations

10.1 Inferences about the Difference between Two Population Means: o1 and o2 Known

10.2 Inferences about the Difference between Two Population Means: o1 and o2 Unknown

10.3 Inferences about the Difference between Two Population Means: Matched Samples

10.4 Inferences about the Difference between Two Population Proportions

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem: Par, Inc.

 

Chapter 11: Inferences about Population Variances

11.1 Inferences about a Population Variance

11.2 Inferences about Two Population Variances

Summary

Key Formulas

Supplementary Exercises

Case Problem 1: Air Force Training Program

Case Problem 2: Meticulous Drill & Reamer

 

Chapter 12: Tests of Goodness of Fit, Independence, and Multiple Proportions

12.1 Goodness of Fit Test

12.2 Test of Independence

12.3 Testing for Equality of Three or More Population Proportions

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: A Bipartisan Agenda for Change

Case Problem 2: Fuentes Salty Snacks, Inc.

Case Problem 3: Fresno Board Games

 

Chapter 13: Experimental Design and Analysis of Variance

13.1 An Introduction to Experimental Design and Analysis of Variance

13.2 Analysis of Variance and the Completely Randomized Design

13.3 Multiple Comparison Procedures

13.4 Randomized Block Design

13.5 Factorial Experiment

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Wentworth Medical Center

Case Problem 2: Compensation for Sales Professionals

Case Problem 3: TourisTopia Travel

 

Chapter 14: Simple Linear Regression

14.1 Simple Linear Regression Model

14.2 Least Squares Method

14.3 Coefficient of Determination

14.4 Model Assumptions

14.5 Testing for Significance

14.6 Using the Estimated Regression Equation for Estimation and Prediction

14.7 Excel's Regression Tool

14.8 Residual Analysis: Validating Model Assumptions

14.9 Outliers and Influential Observations

14.10 Practical Advice: Big Data and Hypothesis Testing in Simple Linear Regression

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Measuring Stock Market Risk

Case Problem 2: U.S. Department of Transportation

Case Problem 3: Selecting a Point-and-Shoot Digital Camera

Case Problem 4: Finding the Best Car Value

Case Problem 5: Buckeye Creek Amusement Park

Appendix 14.1: Calculus-Based Derivation of Least Squares Formulas

Appendix 14.2: A Test for Significance Using Correlation

 

CLICK TO ACCESS: Test Bank for Modern Business Statistics, 7th Edition, 7e by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams TEST BANK 

ISBN-13: 9780357131657

Chapter 15: Multiple Regression

15.1 Multiple Regression Model

15.2 Least Squares Method

15.3 Multiple Coefficient of Determination

15.4 Model Assumptions

15.5 Testing for Significance

15.6 Using the Estimated Regression Equation for Estimation and Prediction

15.7 Categorical Independent Variables

15.8 Residual Analysis

15.9 Practical Advice: Big Data and Hypothesis Testing in Multiple Regression

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Consumer Research, Inc.

Case Problem 2: Predicting Winnings for NASCAR Drivers

Case Problem 3: Finding the Best Car Value

 

Chapter 16: Regression Analysis: Model Building

16.1 General Linear Model

16.2 Determining When to Add or Delete Variables

16.3 Analysis of a Larger Problem

16.4 Variable Selection Procedures

16.5 Multiple Regression Approach to Experimental Design

16.6 Autocorrelation and the Durbin-Watson Test

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Analysis of LPGA Tour Statistics

Case Problem 2: Rating Wines from the Piedmont Region of Italy

 

Chapter 17: Time Series Analysis and Forecasting

17.1 Time Series Patterns

17.2 Forecast Accuracy

17.3 Moving Averages and Exponential Smoothing

17.4 Trend Projection

17.5 Seasonality and Trend

17.6 Time Series Decomposition

Summary

Glossary

Key Formulas

Supplementary Exercises

Case Problem 1: Forecasting Food and Beverage Sales

Case Problem 2: Forecasting Lost Sales

 

Chapter 18: Nonparametric Methods

18.1 Sign Test

18.2 Wilcoxon Signed-Rank Test

18.3 Mann-Whitney-Wilcoxon Test

18.4 Kruskal-Wallis Test

18.5 Rank Correlation

Summary

Glossary

Key Formulas

Supplementary Exercises

Case: RainOrShine.Com  

 

Chapter 19: Statistical Methods for Quality Control

19.1 Philosophies and Frameworks

19.2 Statistical Process Control

19.3 Acceptance Sampling

Summary

Glossary

Key Formulas

Supplementary Exercises

 

Chapter 20: Decision Analysis

20.1 Problem Formulation

20.2 Decision Making with Probabilities

20.3 Decision Analysis with Sample Information

20.4 Computing Branch Probabilities Using Bayes' Theorem

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