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• Cover
• Title Page
• Copyright
• Introduction
• About This Book
• Foolish Assumptions
• Icons Used in This Book
• Beyond the Book
• Where to Go from Here
• Part 1: Getting Started with Business Statistics
• Chapter 1: The Art and Science of Business Statistics
• Representing the Key Properties of Data
• Probability: The Foundation of All Statistical Analysis
• Using Sampling Techniques and Sampling Distributions
• Statistical Inference: Drawing Conclusions from Data
• Chapter 2: Pictures Tell the Story: Graphical Representations of Data
• Analyzing the Distribution of Data by Class or Category
• Histograms: Getting a Picture of Frequency Distributions
• Checking Out Other Useful Graphs
• Chapter 3: Identifying the Center of a Data Set
• Looking at Methods for Finding the Mean
• Getting to the Middle of Things: The Median of a Data Set
• Determining the Relationship Between the Mean and Median
• Discovering the Mode: The Most Frequently Repeated Element
• Computing the Mean, Median, and Mode with the TI-84 Plus Calculator
• Chapter 4: Measuring Variation in a Data Set
• Determining Variance and Standard Deviation
• Finding the Relative Position of Data
• Measuring Relative Variation
• Computing Measures of Dispersion with the TI-84 Plus Calculator
• Chapter 5: Measuring How Data Sets Are Related to Each Other
• Understanding Covariance and Correlation
• Interpreting the Correlation Coefficient
• Computing Covariance and Correlation with the TI-84 Plus Calculator
• Part 2: Probability Theory and Probability Distributions
• Chapter 6: Probability Theory: Measuring the Likelihood of Events
• Working with Sets
• Betting on Uncertain Outcomes
• Looking at Types of Probabilities
• Following the Rules: Computing Probabilities
• Chapter 7: Probability Distributions and Random Variables
• Defining the Role of the Random Variable
• Assigning Probabilities to a Random Variable
• Characterizing a Probability Distribution with Moments
• Chapter 8: The Binomial and Poisson Distributions
• Looking at Two Possibilities with the Binomial Distribution
• Keeping the Time: The Poisson Distribution
• Computing Binomial and Poisson Probabilities with the TI-84 Plus Calculator
• Chapter 9: The Normal Distribution: So Many Possibilities!
• Comparing Discrete and Continuous Distributions
• Understanding the Normal Distribution
• Computing Probabilities for the Normal Distribution with the TI-84 Plus Calculator
• Chapter 10: Sampling Techniques and Distributions
• Sampling Techniques: Choosing Data from a Population
• Sampling Distributions
• The Central Limit Theorem
• Part 3: Drawing Conclusions from Samples
• Chapter 11: Confidence Intervals and the Student’s t-Distribution
• Almost Normal: The Student’s t-Distribution
• Graphing the t-Distribution
• Probabilities and the t-Table
• Point Estimates vs. Interval Estimates
• Estimating Confidence Intervals for the Population Mean
• Computing Confidence Intervals for the Population Mean with the TI-84 Plus Calculator
• Chapter 12: Testing Hypotheses about the Population Mean
• Applying the Key Steps in Hypothesis Testing for a Single Population Mean
• Testing Hypotheses About Two Population Means
• Testing Hypotheses about Population Means with the TI-84 Plus Calculator
• Chapter 13: Applications of the Chi-Square Distribution
• Staying Positive with the Chi-Square Distribution
• Testing Hypotheses about the Population Variance
• Practicing the Goodness of Fit Tests
• Conducing a Goodness of Fit Test with the TI-84 Plus Calculator
• Chapter 14: Applications of the F-Distribution
• Getting to Know the F-Distribution
• Testing Hypotheses about the Equality of Two Population Variances
• Testing Hypotheses about Two Population Variances with the TI-84 Plus Calculator
• Part 4: More Advanced Techniques: Regression Analysis and Spreadsheet Modeling
• Chapter 15: Simple Regression Analysis
• The Fundamental Assumption: Variables Have a Linear Relationship
• Defining the Population Regression Equation
• Estimating the Population Regression Equation
• Testing the Estimated Regression Equation
• Using Statistical Software
• Assumptions of Simple Linear Regression
• Conducting Simple Regression Analysis with the TI-84 Plus Calculator
• Chapter 16: Key Statistical Techniques in Excel
• Implementing Excel Functions
• Checking Out Excel’s Key Statistical Functions
• Going Deeper with the Analysis ToolPak
• Part 5: The Part of Tens
• Chapter 17: Ten Common Errors That Arise in Statistical Analysis
• Designing Misleading Graphs
• Drawing the Wrong Conclusion from a Confidence Interval
• Misinterpreting the Results of a Hypothesis Test
• Placing Too Much Confidence in the Coefficient of Determination ()
• Assuming Normality
• Thinking Correlation Implies Causality
• Drawing Conclusions from a Regression Equation When the Data Do Not Follow the Assumptions
• Using Regression Analysis to Make Predictions About Values Outside the Range of Sample Data
• Placing Too Much Confidence in Forecasts
• Using the Wrong Distribution
• Chapter 18: (Almost) Ten Key Categories of Formulas for Business Statistics
• Summary Measures of a Population or a Sample
• Probability
• Discrete Probability Distributions
• Continuous Probability Distributions
• Sampling Distributions
• Confidence Intervals for the Population Mean
• Testing Hypotheses about Population Means
• Testing Hypotheses about Population Variances
• Using Regression Analysis
• Index
• About the Author
• Advertisement Page
• Connect with Dummies
• End User License Agreement