Introduction and Data Collection | |

Overview of Statistics | |

Applying Statistics to Business | |

How This Text Is Organized | |

The Importance of Collecting Data | |

Identifying Sources of Data | |

Design of Survey Research | |

Types of Survey Sampling Methods | |

Types of Data | |

Evaluating Survey Worthiness | |

Presenting Data in Tables and Charts | |

Organizing Numerical Data | |

Tables and Charts for Numerical Data | |

Graphing Bivariate Numerical Data | |

Tables and Charts for Categorical Data | |

Tabulating and Graphing Bivariate Categorical Data | |

Graphical Excellence | |

Numerical Descriptive Measures | |

Exploring Numerical Data and Their Properties | |

Measures of Central Tendency, Variation, and Shape | |

Obtaining Descriptive Summary Measures from a Population | |

Obtaining Descriptive Summary Measures from a Frequency Distribution | |

Exploratory Data Analysis | |

The Coefficient of Correlation | |

Pitfalls in Numerical Descriptive Measures and Ethical Issues | |

Basic Probability | |

Basic Probability Concepts | |

Conditional Probability | |

Bayes' Theorem | |

Counting Rules | |

Ethical Issues and Probability | |

Some Important Discrete Probability Distributions | |

The Probability Distribution for a Discrete Random Variable | |

Covariance and Its Application in Finance | |

Binomial Distribution | |

Hypergeometric Distribution | |

Poisson Distribution | |

CD ROM Topic Using the Poisson Distribution to Approximate the Binomial Distribution | |

The Normal Distribution and Other Continuous Distributions | |

The Normal Distribution | |

Evaluating the Normality Assumption | |

The Uniform Distribution | |

The Exponential Distribution | |

CD ROM Topic The Normal Approximation to the Binomial Distribution | |

Sampling Distributions | |

Sampling Distribution of the Mean | |

Sampling Distribution of the Proportion | |

CD ROM Topic Sampling from Finite Populations | |

Confidence Interval Estimation | |

Confidence Interval Estimation of the Mean (s Known) | |

Confidence Interval Estimation of the Mean (s Unknown) | |

Confidence Interval Estimation for the Proportion | |

Determining Sample Size | |

Applications of Confidence Interval Estimation in Auditing | |

Confidence Interval Estimation and Ethical Issues | |

CD ROM Topic Estimation and Sample Size Determination for Finite | |

Fundamentals of Hypothesis Testing: One-Sample Tests | |

Hypothesis-Testing Methodology | |

Z Test of Hypothesis for the Mean (s Known) | |

One-Tailed Tests | |

T Test of Hypothesis for the Mean (s Unknown) | |

Z Test of Hypothesis for the Proportion | |

X2 Test of Hypothesis for the Variance or Standard Deviation | |

Potential Hypothesis-Testing Pitfalls and Ethical Issues | |

CD ROM Topic The Power of a Test | |

Two Sample Tests with Numerical Data | |

Comparing Two Independent Samples: Tests for Differences in Two Means | |

F Test for Differences in Two Variances | |

Comparing Two Related Samples: Tests for the Mean Difference | |

Wilcoxon Rank Sum Test: Nonparametric Analysis for Two Independent Populations | |

Wilcoxon Signed-Ranks Test: Nonparametric Analysis for Two Related Populations | |

Analysis of Variance | |

The Completely Randomized Design: One-Way Analysis of Variance | |

The Randomized Block Design | |

The Factorial Design: Two-Way Analysis of Variance | |

Kruskal-Wallis Rank Test: Nonparametric Analysis for the One-Way Design | |

Friedman Rank Test: Nonparametric Analysis for the Randomized Block Design | |

Tests for Two or More Samples with Categorical Data | |

Z Test for the Difference between Two Proportions | |

Chi-Square Test for Differences between Two Proportions | |

Chi-Square Test for Differences in Among More than Two Proportions | |

Chi-Square Test of Independence | |

CD ROM Topic Chi-Square Goodness of Fit Tests | |

Simple Linear Regression | |

Types of Regression Models | |

Determining the Simple Linear Regression Equation | |

Measures of Variation | |

Assumptions | |

Residual Analysis | |

Measuring Autocorrelation: The Durbin-Watson Statistic | |

Inferences about the Slope and Correlation Coefficient | |

Estimation of Predicted Values | |

Pitfalls in Regression and Ethical Issues | |

Computations in Simple Linear Regression | |

Introduction to Multiple Regression | |

Developing the Multiple Regression Model | |

Residual Analysis for the Multiple Regression Model | |

Testing for the Significance of the Multiple Regression Model | |

Inferences Concerning the Population Regression Coefficients | |

Testing Portions of the Multiple Regression Model | |

Using Dummy-Variables and Interaction Terms in Regression Models | |

Introduction to Logistic Regression | |

Multiple Regression Model Building | |

The Quadratic Regression Model | |

Using Transformations in Regression Models | |

Influence Analysis | |

Collinearity | |

Model Building | |

Pitfalls in Multiple Regression and Ethical Issues | |

Time-Series Analysis | |

The Importance of Business Forecasting | |

Component Factors of the Classical Multiplicative Time-Series Model | |

Smoothing the Annual Time Series | |

Least-Squares Trend Fitting and Forecasting | |

The Holt-Winters Method for Trend Fitting and Forecasting | |

Autoregressive Modeling for Trend Fitting and Forecasting | |

Choosing an Appropriate Forecasting Model | |

Time-Series Forecasting of Monthly or Quarterly Data | |

Index Numbers | |

Pitfalls Concerning Time-Series Analysis | |

Decision Making | |

Payoff Tables and Decision Trees | |

Criteria for Decision Making | |

Decision Making with Sample Information | |

Utility | |

Statistical Applications in Quality and Productivity Management | |

Total Quality Management | |

Six SigmaÂ“ Management | |

The Theory of Control Charts | |

Control Chart for the Proportion of Nonconforming Items The p Chart | |

The Red Bead Experiment: Understanding Process Variability | |

The c Chart | |

Control Charts for the Range and the Mean | |

Process Capability | |

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