- ISBN: 9780133030099 | 0133030091
- Cover: Hardcover
- Copyright: 12/1/1994
Practical data-analytic approach to the teaching of business statistics through the development and use of a survey (and database) that integrates the various topics, permitting a cohesive study of the subject of business statistics.
| 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 SigmaĀ“ 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 | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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