Overview

Utilizing the computer to eliminate rote computation and facilitate learning, this book inspires and motivates students to learn statistics by showing them its practical importance to their careers through numerous vignettes and practical examples. Throughout the book, the authors reinforce the idea that statistics provides the link between data and information that enhances decision making and planning. The authors use Minitab, Microsoft Excel, and JMP IN statistical software to execute statistical methods - presenting computational outputs and interpretation first; then illustrating the method using statistical tables. Chapter appendices provide detailed instructions on the use of Minitab, Excel, and JMP IN.

Full Product Details

Author:   George C. Canavos ,  Don M. Miller
Publisher:   Cengage Learning, Inc
Imprint:   South-Western
Edition:   2nd Revised edition
Dimensions:   Width: 20.10cm , Height: 3.00cm , Length: 25.70cm
Weight:   1.453kg
ISBN:  

9780534358198

ISBN 10:   0534358195
Pages:   780
Publication Date:   18 August 1998
Audience:   College/higher education ,  Adult education ,  Undergraduate ,  Further / Higher Education
Format:   Mixed media product
Publisher's Status:   Out of Print
Availability:   Out of stock  

Table of Contents

1. INTRODUCTION TO STATISTICS AND STATISTICAL THINKING Introduction / The Fundamental Elements of Statistical Analysis / The Evaluation of Statistical Analyses / Obtaining Data / Statistical Thinking for Process Management and Quality Improvement / An Introduction to the Design of Experiments / Statistical Notation / Use of Computers in Statistical Analysis / Looking Ahead / Summary / Appendix 1: Introduction to MINITAB, Excel, and JMP IN 2. EXPLORING AND SUMMARIZING DATA Introduction / Types of Data / Distributions of Data / Measures of Location: The Center of the Data / Measures of Variation / Measures of Relative Standing / Relationships Between Two Variables / Exploring and Summarizing Data: A Comprehensive Example / Summary / Appendix 2A: Computer Instructions for Using MINITAB, Excel, and JMP IN / Appendix 2B: Your Turn to Perform a Statistical Study 3. PROBABILITY, RANDOM VARIABLES, AND PROBABILITY DISTRIBUTIONS Bridging to New Topics / The Basic Elements of Probability / Interpretations and Fundamental Rules of Probabilities / Discrete and Continuous Random Variables / Probability Distributions of Discrete Random Variables / Probability Distributions of Continuous Random Variables / Expected Values of Random Variables / Summary / Appendix 3: Calculus-Based Introduction to Probability Distributions for Continuous Random Variables 4. SOME IMPORTANT PROBABILITY DISTRIBUTIONS Bridging to New Topics / The Binomial Distribution / The Normal Distribution / The Normal Distribution as an Approximation to the Binomial Distribution / Summary / Appendix 4: Computer Instructions for Using MINITAB, Excel, and JMP IN 5. STATISTICS AND SAMPLING DISTRIBUTIONS Bridging to New Topics / Sampling Techniques / Parameters Statistics, and Fundamentals of Statistical Inference / Desirable Properties of Statistics / The Sampling Distribution of the Sample Mean X [overbar] / The Sampling Distribution of the Sample Proportion p / Summary / Appendix 5: Computer Instructions for Using MINITAB, Excel, and JMP IN 6. STATISTICAL INFERENCES FOR A SINGLE POPULATION OR PROCESS Bridging to New Topics / An Introduction to Confidence Intervals and Hypothesis Testing / Statistical Inferences on Mu Based on X [overbar] / Statistical Inference for Pi Based on P / Summary / Appendix 6: Computer Instructions for Using MINITAB and Excel 7. STATISTICAL INFERENCES FOR TWO POPULATIONS OR PROCESSES Bridging to New Topics / Planning a Comparison of Two Means / Statistical Inferences for Two Means Based on Independent Samples / Statistical Inferences for Two Means Based on Paired Samples / Statistical Inferences for Two Proportions Based on Independent Samples / Statistical Inferences for Two Populations or Processes: A Comprehensive Example / Summary / Appendix 7: Computer Instructions for Using MINITAB, Excel, and JMP IN 8. ANALYSIS OF VARIANCE Bridging to New Topics / Comparing More Than Two Population or Process Means with Independent Samples / Comparing More Than Two Treatments with Samples Selected in Blocks / Analysis of Variance: A Comprehensive Example / Summary / Appendix 8: Computer Instructions for Using MINITAB, Excel, and JMP IN 9. SIMPLE LINEAR REGRESSION ANALYSIS Bridging to New Topics / Relationships Between Two Variables: The Simple Linear Regression Model / Estimating the Parameters of the Simple Linear Regression Model / Statistical Inferences for the Simple Linear Regression Model / The Reliability of Estimates and Predictions / Factors That Affect Regression Standard Errors: Some Design Considerations / Correlation: Measuring the Linear Association Between Y and X / Simple Linear Regression: A Comprehensive Example / Summary / Appendix 9A: Computer Instructions for Using MINITAB, Excel, and JMP IN / Appendix 9B: Determining Least Squares Estimates Using a Calculator 10. MULTIPLE LINEAR REGRESSION Bridging to New Topics / The Multiple Linear Regression Model / Estimating the Parameters of the Multiple Linear Regression Model / How Good Is the Model? / Statistical Inference for Multiple Linear Regression / Incorporating Qualitative Variables in Multiple Linear Regression: Dummy Variables / Curvilinear Regression Models / Detecting Model Deficiencies and Avoiding Pitfalls: Residual Analysis and Collinearity / Criteria for Selecting the Best Set of Predictor Variables / Multiple Linear Regression: A Comprehensive Example / Summary / Appendix 10: Computer Instructions for Using MINITAB, Excel, and JMP IN 11. GOODNESS-OF-FIT PROCEDURES AND CONTINGENCY TABLES Bridging to New Topics / The Chi-Square Goodness-of-Fit Procedure / Analysis of Two-Way Contingency Tables: The Chi-Square Procedure for Independence / Summary / Appendix 11: Computer Instructions for Using MINITAB, Excel, and JMP IN 12. TIME SERIES ANALYSIS AND FORECASTING Bridging to New Topics / Time Series Patterns / Forecasting with Exponential Smoothing / Forecasting with Regression Models / Summary / Appendix 12: Computer Instructions for Using MINITAB, Excel, and JMP IN 13. METHODS FOR PROCESS IMPROVEMENT AND STATISTICAL QUALITY CONTROL Bridging to New Topics / Process Improvement Strategies / Statistical Control Charts / Control Charts for the Average and Variation of Process Outputs: X [overbar] and S charts / Control Charts for Process Proportions: p Charts / Summary / Appendix 13: Computer Instructions for Using MINITAB, Excel, and JMP IN / APPENDIX: STATISTICAL TABLES / ANSWERS TO SELECTED ODD-NUMBERED EXERCISES / INDEX

Reviews

This is a great textbook because 1) the distinction between fixed populations and processes is clear throughout the text; 2) there is a great definition and discussion of random variables; 3) a calculus approach to probability is given in an appendix; 4) no computational formulas are given; 5) decisions between t and z distributions are based on knowledge of sigma and not sample size; 6) there is a great section on using confidence intervals for testing hypothesis tests. . . . [In addition, ] the authors present the material in a concise and mathematically correct fashion.

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