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What is included with this book?
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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