A brief course in business statistics
著者
書誌事項
A brief course in business statistics
Duxbury, c2001
2nd ed. / William Mendenhall, Robert J. Beaver, Barbara M. Beaver
- : pbk
- タイトル別名
-
Business statistics
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
An instructor's manual and solutions manual for students are available
Includes bibliographical references (p. [646]-650) and index
内容説明・目次
内容説明
Based on their popular book, A COURSE IN BUSINESS STATISTICS, this condensed text by William Mendenhall, Robert J. Beaver, and Barbara M. Beaver emphasizes the important concepts and methods of statistics that students are likely to see and use in their future courses and careers. Clear and easy to comprehend, this text achieves a balance of manual and computer methods, and emphasizes applications. The authors' approach is reflected in their objective: to make inferences about a population from information contained in a sample drawn from that population, and to assess the reliability of the inference. Students are shown how to solve problems even where uncertainty exists, because uncertain situations will confront them in business. Using this knowledge, students soon begin to understand the role of statistics in making informed business decisions and in shaping daily life, and to appreciate the implications of reported statistics.
目次
1. WHAT IS STATISTICS? Illustrative Statistical Problems / The Population and the Sample / The Essential Elements of a Statistical Problem / The Role of Statistics in Inference Making / Case Study Revisited: More on the Census in the Year 2000 / Summary / A Note to the Reader 2. DESCRIBING SETS OF DATA Variables and Data / Types of Variables / Statistical Tables and Graphs / Relative Frequency Distributions / Stem and Leaf Displays / Numerical Methods for Describing a Set of Data / Measures of Central Tendency / Measures of Variability / On the Practical Significance of the Standard Deviation / A Check on the Calculation of s / Graphical and Numerical Techniques for Bivariate Data / Measures of Relative Standing / Box Plots / Case Study Revisited: Describing the Money Market Fund Data / Summary 3. PROBABILITY AND DISCRETE PROBABILITY DISTRIBUTIONS The Role of Probability in Statistics / The Probability of an Event / Event Composition and Event Relations / Conditional Probability and Independent Events / Bayes' Rule and Conditional Probability (Optional) / Discrete Random Variables and Their Probability Distributions / Case Study Revisited: More on Baby Boomers and Department Stores / Remarks 4. USEFUL DISCRETE PROBABILITY DISTRIBUTIONS Introduction / The Binomial Probability Distribution / The Poisson Probability Distribution / Other Discrete Probability Distributions (Optional) / Case Study Revisited: More About Driving Rights / Summary 5. THE NORMAL AND OTHER CONTINUOUS PROBABILITY DISTRIBUTIONS Probability Distributions for Continuous Random Variables / The Normal Probability Distribution / Tabulated Areas of the Normal Probability Distribution / The Normal Approximation to the Binomial Probability Distribution / Other Useful Continuous Probability Distributions (Optional) / Case Study Revisited: How Much is a Full Tank of Gas Worth? / Summary 6. SAMPLING DISTRIBUTIONS Random Sampling / Sampling Distributions of Statistics / The Central Limit Theorem and the Sampling Distribution of the Sample Mean / The Sampling Distribution of a Sample Proportion / A Sampling Application: Statistical Process Control / Case Study Revisited: The Sampling Distribution of Winnings at Roulette / Summary 7. ESTIMATION OF MEANS AND PROPORTIONS A Brief Summary / Types of Estimators / Large-Sample Estimation / Large-Sample Estimation of a Population Mean / Small-Sample Estimation of a Population Mean / Estimating the Difference Between Two Means / Estimating a Binomial Proportion / Estimating the Difference Between Two Binomial Proportions / Choosing the Sample Size / Case Study Revisited: The Logic Behind the IRS's $3.4 Million Disallowance / Summary 8. TESTS OF HYPOTHESES FOR MEANS AND PROPORTIONS Testing Hypotheses About Population Parameters / A Statistical Test of Hypothesis / A Test of Hypothesis for a Population Mean / Another Way to Report the Results of Statistical Tests: p-Values / Tests Concerning the Difference Between Two Population Means / A Paired-Difference Test / A Large-Sample Test of Hypothesis for a Population Proportion / A Large-Sample Test of Hypothesis for the Difference Between Two Binomial Proportions / Inferences Concerning Population Variances / Some Comments on the Theory of Tests of Hypotheses / Assumptions / Case Study Revisited: More on Post--Cold War Contractors / Summary 9. THE ANALYSIS OF VARIANCE The Motivation for an Analysis of Variance / The Assumptions for an Analysis of Variance / The Completely Randomized Design: A One-Way Classification / An Analysis of Variance for a Completely Randomized Design / Computing Formulas: An Analysis of Variance for a Completely Randomized Design (Optional) / The Randomized Block Design / An Analysis of Variance for a Randomized Block Design (Optional) / Computing Formulas: The Analysis of Variance for a Randomized Block Design (Optional / Factorial Experiments / The Analysis of Variance for a Factorial Experiment / Computing Formulas: The Analysis of Variance for a Two-Factor Factorial Experiment / Ranking Population Means / Satisfying the Assumptions for an Analysis of Variance: Variance-Stabilizing Transformations (Optional) / Case Study Revisited: An Analysis of the Difference in Grocery Prices at Four Points in Time / Summary 10. QUALITY CONTROL Quality Control / Monitoring Product Quality Using Control Charts / A Control Chart for the Process Mean: The x Chart / A Control Chart for Process Variation: The R Chart / Process Capability / A Control Chart for the Proportion Defective: The p Chart / A Control Chart for the Number of Defects per Item: The c Chart / A Test for Nonrandomness / Lot Acceptance Sampling for Defectives / Double and Sequential Lot Acceptance Sampling Plans / Acceptance Sampling by Variables / Case Study Revisited: A Solution to the Missing Oil Stocks / Summary 11. LINEAR REGRESSION AND CORRELATION Introduction / A Simple Linear Probabilistic Model / The Method of Least Squares / Inferences Concerning the Slope of the Line, B1 / Estimation and Prediction Using the Fitted Line / Calculational Formulas / A Coefficient of Correlation / Assumptions / Case Study Revisited: A Computer Analysis of the Foreign Car Imports / Summary 12. MULTIPLE REGRESSION ANALYSIS Introduction / The Multiple Regression Model and Associated Assumptions / A Multiple Regression Analysis / The Use of Quantitative and Qualitative Variables in Linear Regression Models / Testing Sets of Model Parameters / Residual Analysis / Stepwise Regression Analysis / Misinterpretations in a Regression Analysis / Linear Models for Quantitative Variables (Optional) / Steps to Follow When Building a Linear Model / Case Study Revisited: A Multiple Regression Analysis for Foreign Car Imports / Summary 13. THE CHI-SQUARE GOODNESS-OF-FIT TEST A Multinomial Experiment / The Chi-Square Goodness-of-Fit Test / Contingency Tables / r x c Tables with Fixed Row or Column Totals / Case Study Revisited: Attitudes in the Workplace / Summary / APPENDIX I: DESCRIPTION OF THE DATA SETS / APPENDIX II: TABLES / APPENDIX III: CASE STUDIES / APPENDIX IV: PRIMARY DATA SOURCES / APPENDIX V: USING EXCEL / ANSWERS TO SELECTED EXERCISES / INDEX
「Nielsen BookData」 より