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Purchase Benefits
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A First Look at Statistics and Data Collection | |
Statistics in Action: Online Surveys: E-xpress Yourself | p. 1 |
Using the Computer | p. 3 |
Uses of Statistics in Business | p. 4 |
Some Basic Definitions | p. 4 |
Discrete and Continuous Numerical Data | p. 6 |
Level of Measurement for Numerical Data | p. 7 |
Sources of Data | p. 9 |
Business Research Questions in Practice | |
Designing and Coding a Questionnaire | |
Data Presentation Using Descriptive Graphs | |
Statistics in Action: Lean Philosophy Drives Productivity Growth | p. 25 |
Frequency Distributions | p. 26 |
Histograms and Stem-and-Leaf Diagrams | p. 32 |
Frequency Polygons | p. 40 |
Cumulative Frequencies (Ogives) | p. 41 |
Bar Charts | p. 46 |
Pie Charts | p. 47 |
Deceptive Graphs | p. 54 |
Using Computer Graphics | p. 56 |
Data Summary Using Descriptive Measures | |
Statistics in Action: Semiconductor Business: When the Chips Are Down | p. 69 |
Various Types of Descriptive Measures | p. 70 |
Measures of Central Tendency | p. 71 |
Measures of Variation | p. 78 |
Measures of Position | p. 86 |
Measures of Shape | p. 89 |
Interpreting X and s | p. 93 |
Grouped Data | p. 97 |
Box Plots | p. 101 |
Probability Concepts | |
Statistics in Action: Cable and DSL Connections: Wired for Speed | p. 119 |
Events and Probability | p. 120 |
Basic Concepts | p. 122 |
Going Beyond the Contingency Table | p. 129 |
Applying the Concepts | p. 136 |
Tree Diagrams | p. 144 |
Probabilities for More than Two Events | p. 148 |
Counting Rules | p. 150 |
Simple Random Samples | p. 155 |
Discrete Probability Distributions | |
Statistics in Action: AACSB Accreditation: A Commitment to Excellence in Business Education | p. 167 |
Random Variables | p. 169 |
Representing Probability Distributions for Discrete Random Variables | p. 174 |
Mean and Variance of Discrete Random Variables | p. 177 |
Binomial Random Variables | p. 183 |
The Hypergeometric Distribution | p. 194 |
The Poisson Distribution | p. 198 |
Continuous Probability Distributions | |
Statistics in Action: Examining Unethical Behavior: More Fun Than Decent People Think Should Be Legal | p. 215 |
Continuous Random Variables | p. 216 |
Normal Random Variables | p. 217 |
Determining a Probability for a Normal Random Variable | p. 220 |
Finding Areas Under the Standard Normal Curve | p. 221 |
Areas Under Any Normal Curve | p. 226 |
Another Look at the Empirical Rule | p. 233 |
Using Excel to Determine Areas and Values Having a Specified Area for Normal Populations | p. 233 |
Normal Approximation to the Binomial | p. 238 |
Other Continuous Distributions | p. 242 |
Statistical Inference and Sampling | |
Statistics in Action: Traffic Congestion Takes Its Toll | p. 259 |
Random Sampling and the Distribution of the Sample Mean | p. 261 |
The Central Limit Theorem | p. 267 |
Confidence Intervals for the Mean of a Normal Population ([sigma] Known) | p. 277 |
Confidence Intervals for the Mean of a Normal Population ([sigma] Unknown) | p. 286 |
Selecting the Necessary Sample Size | p. 291 |
Bootstrap Confidence Intervals | |
Other Sampling Procedures | |
Hypothesis Testing for the Mean and Variance of a Population | |
Statistics in Action: Hillerich & Bradsby Company: Hitting the Quality Mark | p. 303 |
Hypothesis Testing on the Mean of a Population: Large Sample | p. 305 |
One-Tailed Test for the Mean of a Population: Large Sample | p. 318 |
Reporting Testing Results Using a p-Value | p. 325 |
Hypothesis Testing on the Mean of a Normal Population: Small Sample | p. 332 |
Inference for the Variance and Standard Deviation of a Normal Population | p. 338 |
Inference Procedures for Two Populations | |
Statistics in Action: Rollovers with Sport-Utility Vehicles: Assessing the Impact | p. 355 |
Independent versus Dependent Samples | p. 356 |
Comparing Two Means Using Two Large, Independent Samples | p. 358 |
Comparing Two Normal Population Means Using Two Small, Independent Samples | p. 370 |
Comparing the Variances of Two Normal Populations Using Independent Samples | p. 382 |
Comparing the Means of Two Normal Populations Using Paired Samples | p. 391 |
Estimation and Testing for Population Proportions | |
Statistics in Action: Streaming Meemies: The Most Valuable Consumer Group on the Internet | p. 411 |
Estimation and Confidence Intervals for a Population Proportion | p. 413 |
Hypothesis Testing for a Population Proportion | p. 420 |
Comparing Two Population Proportions (Large, Independent Samples) | p. 426 |
Analysis of Variance | |
Statistics in Action: MBA Programs: Making an Executive Decision to Master Your Career | p. 443 |
Comparing Two Means: Another Look | p. 445 |
One-Factor ANOVA Comparing More than Two Means | p. 453 |
Designing an Experiment | p. 472 |
Randomized Block Design | p. 475 |
The Two-Way Factorial Design | p. 490 |
Quality Improvement | |
Statistics in Action: Business Excellence: Banking on Six Sigma to Keep Quality Job One | p. 519 |
Quality Improvement: The Past, Present, and Future | p. 521 |
The Malcolm Baldrige National Quality Award and ISO 9000 Registration | p. 525 |
Quality-Improvement Tools | p. 530 |
Statistical Process Control, Process Variation, and Control Charts | p. 536 |
Control Charts for Variables Data: The X and R Charts | p. 540 |
Control Charts for Attribute Data: The p and c Charts | p. 552 |
Process Capability | p. 560 |
Applications of the Chi-Square Statistic | |
Statistics in Action: Data Mining: The Art and Science of Customer Relationship Management | p. 579 |
Chi-Square Goodness-of-Fit Tests | p. 580 |
Chi-Square Tests of Independence | p. 597 |
Correlation and Simple Linear Regression | |
Statistics in Action: Alpha Beta Soup for the Investor's Soul: Recipe Includes Regression Analysis | p. 621 |
Bivariate Data and Correlation | p. 622 |
The Simple Linear Regression Model | p. 634 |
Inference on the Slope, [beta subscript 1] | p. 640 |
Measuring the Strength of the Model | p. 649 |
Estimation and Prediction Using the Simple Linear Model | p. 654 |
Examining the Residuals | p. 659 |
Multiple Linear Regression | |
Statistics in Action: Getting Framed Right Before Your Eyes: Evaluating the Price You Will Pay | p. 687 |
The Multiple Linear Regression Model | p. 689 |
Hypothesis Testing and Confidence Intervals for the [beta] Parameters | p. 695 |
Determining the Predictive Ability of Certain Independent Variables | p. 706 |
The Problem of Multicollinearity | p. 717 |
Dummy Variables and Additional Topics in Multiple Linear Regression | p. 724 |
Model Building | p. 738 |
Time Series Analysis and Index Numbers | |
Statistics in Action: Forecasting Underlying Economic Trends: Oh CPI, Why Did You Lie? | p. 759 |
Components of a Time Series | p. 761 |
Measuring Trend: No Seasonality | p. 768 |
Measuring Cyclical Activity: No Seasonality | p. 776 |
Types of Seasonal Variation | p. 780 |
Measuring Seasonality | p. 785 |
A Time Series Containing Seasonality, Trend, and Cycles | p. 793 |
Index Numbers | p. 804 |
Quantitative Business Forecasting | |
Statistics in Action: Going Postal with Forecasting Techniques: Determining Which Methods Receive the Stamp of Approval | p. 819 |
Methods of Forecasting | p. 821 |
The Naive Forecast | p. 823 |
Projecting the Least Squares Trend Equation | p. 826 |
Simple Exponential Smoothing | p. 830 |
Exponential Smoothing for a Time Series Containing Trend | p. 836 |
Exponential Smoothing Method for Trend and Seasonality | p. 840 |
Choosing the Appropriate Forecasting Procedure | p. 847 |
Autoregressive Forecasting Techniques | |
The Other Side of Forecasting: Linear Regression Using Time Series Data | |
The Problem of Autocorrelation: The Durbin-Watson Statistic | |
Nonparametric Statistics | |
Statistics in Action: Putting Service Back into Customer Service: Assessing Survey Data to Get Blue Oval Certified | p. 869 |
A Test for Randomness: The Runs Test | p. 871 |
Nonparametric Tests of Central Tendency: Two Populations | p. 880 |
Comparing More than Two Populations: The Kruskal-Wallis Test and the Friedman Test | p. 897 |
A Measure of Association: Spearman Rank Correlation | |
An Alternative to the Least Squares Regression Line: A Nonparametric Approach | |
Decision Making Under Uncertainty (on CD) | |
Statistics in Action: Stealth Manufacturers: Using Decision Strategies to Make Products That Tech Giants Put Their Names On | |
Defining the Decision Problem | |
Decision Strategies | |
The Concept of Utility | |
Decision Trees and Bayes' Rule | |
Appendixes | |
Tables | p. 1 |
Answers to Odd-Numbered Exercises | p. 40 |
Introduction to Excel | |
Introduction to SPSS | |
Introduction to MINITAB | |
Database Using Household Financial Variables | |
Database Using Financial Variables of Companies | |
Derivation of Minimal Total Sample Size | |
Index | p. 1 |
Table of Contents provided by Syndetics. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.