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| Charting Your Future | |
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| Statistics and Business Go Hand in Hand | |
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| The Origin of Statistics | |
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| Some Real-World Business Examples of Statistics | |
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| Introducing the Branches of Statistics | |
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| The Relationship Between Probability and Statistics | |
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| Understanding and Organizing Business Data | |
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| Understanding Observations | |
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| Organizing Observations into a Datafile | |
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| Exploring the Four Basic Data Types | |
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| Understanding the Limitations of Your Data Choices | |
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| Start Making Decisions by Creating Datafiles | |
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| Visualizing Profit and Performance | |
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| Turning Raw Data into Information | |
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| Examining Relationships with Scatterplots | |
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| Understanding the Types of Variables | |
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| Common Questions About Research Data | |
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| Predicting Profits with Measures of Central Tendency | |
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| The Meaning of the Mean | |
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| The Mode--Not an Operation, but a Count | |
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| The Median--In the Middle of Everything | |
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| When to Use a Measure of Central Tendency | |
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| Improving Quality with Measures of Dispersion | |
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| Getting Started with Dispersion Measures | |
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| Recognizing the Variance | |
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| Introducing the All-Important Standard Deviation | |
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| Solving Problems with Curves and z-Scores | |
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| Introducing the Bell-Shaped Curve | |
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| Measuring the Standard Normal Distribution | |
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| Estimating the Number of Units That Are Substandard | |
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| Predicting Percentages with z-Scores | |
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| Skewed Curves and the Relation to a Standard Distribution | |
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| Facing Probability and Forecasting | |
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| Playing the Probability Game | |
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| Introducing the Classic Theory of Probability | |
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| Sampling with Replacement | |
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| Dependent Events and Probability | |
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| Exploring Normal Curves and the Binomial Scale | |
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| Forecasting Your Business Results | |
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| Introducing the Components of Time Series Data | |
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| Working with Precalculated Business Data | |
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| Making Decisions That Count | |
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| Understanding the Key Decisions | |
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| Charting a Decision Tree | |
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| Learning by Example | |
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| Devising Strategies for Decision Making | |
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| Using Business Research and Inference | |
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| Using Research in Your Business | |
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| Deciding When to Use Research | |
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| Developing a Basic Research Methodology | |
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| Identifying Appropriate Research Projects | |
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| Understanding the Levels of Research | |
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| Eliminating the Bias in Your Research | |
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| The Infinite Population in Applied Statistics | |
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| The Importance of Random Sampling | |
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| Choosing the Appropriate Sampling Methods | |
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| How Big Should the Sample Be? | |
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| Being Confident About Your Sample | |
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| Conducting Bernoulli Trials | |
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| What About Interval and Ratio Samples? | |
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| Determining a Confidence Interval | |
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| It Won't Work with Small Samples | |
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| Testing Your Hypothesis | |
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| Using the Normal Distribution to Answer Questions | |
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| Stating Hypotheses to Test Assumptions | |
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| Using a Five-Step Procedure for Testing a Hypothesis | |
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| Testing a Hypothesis | |
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| Learning from Contingency Tables | |
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| How to Create a Contingency Table | |
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| A Real Example of How It Works | |
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| Using Chi Square for Other Expected Frequencies | |
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| Try Using a Contingency Table On Your Own | |
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| Seeing the Industry Relationships | |
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| Recognizing the Relationships of Business Variables | |
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| Starting with Correlation of Business Variables | |
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| Revealing Hidden Relationships with the Correlation Coefficient | |
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| Going Beyond Correlation to Prediction | |
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| Predicting Business Values | |
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| What Happens When You Have More Variables? | |
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| Estimating the Probability of Success with the t-Test | |
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| Understanding the Student's t Distribution | |
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| Using t to Test a Mean | |
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| Comparing Two Population Means Using t | |
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| Are These Customers the Same or Different? | |
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| Testing the Mean, Standard Deviation Known | |
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| Working with Proportions and the z Distribution | |
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| Testing Two Population Proportions | |
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| Getting Results from ANOVA | |
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| Introducing the F distribution | |
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| Considering Two-Way Analysis of Variance | |
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| Going On from Here | |
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| Interpreting Business Data Correctly | |
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| Beware of Nonrandom Nonsamples | |
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| Beware the Ploys of Advertisers | |
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| Use the Correct Scale | |
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| Correlation Needs Matched Pairs | |
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| Beware of Significant but Unimportant Findings | |
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| Beware of Data Mining Without Hypotheses | |
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| Avoid Extrapolation That Goes Beyond Observed Ranges | |
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| Avoid Basic Mistakes That Affect Business Results | |
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| From Inferences to Your Future | |
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| Using Statistics Programs for Your Company | |
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| Using Software That Simplifies the Details | |
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| What Can Statistics Programs Do? | |
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| The Types of Statistical Programs | |
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| How Do You Choose? | |
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| Things Statistics Software Can't Do | |
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| Go Get Yourself Some! | |
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| Advancing Your Business with Statistics | |
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| More Statistical Functions to Learn | |
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| Where Can You Learn More? | |
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| You're Ready to Compute! | |
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| Appendixes | |
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| Answer Key | |
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| Statistics Formulas | |
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| Sample Statistical Tables | |
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| A Glossary of Statistical Terms | |
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| Index | |