Statistics: A First Course with Data CD
McGraw-Hill Professional (Verlag)
978-0-07-233217-9 (ISBN)
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The main difference between this text and many others is that an attempt is made here to present material in a rather relaxed and informal way without omitting important concepts. The text demonstrates the wide range of relevant issues and questions that can be addressed with the help of statistical analysis techniques by presenting over 1,750 realistic problems that arise often in health care, the social and physical sciences, education, business and economics, engineering, and leisure activities. It also convinces your students that statistics is "do-able" by including real data that students have collected and analyzed for class assignments and projects. Additionally, the text utilizes an intuitive, common sense approach (including occasional humorous situation or ridiculous name) to develop concepts whenever possible. Statistics: A First Course employs widely available, inexpensive technologies--particularly Minitab and the TI-83 graphing calculator. We also explore the use of the World Wide Web to collect data, providing students with the means to obtain up-to-date information without leaving their desks.In short this book is written to communicate with students rather than to lecture to them, and its intent is to convince readers that the study of statistics can be a lively, interesting, and rewarding experience!
Donald H. Sanders, Educational Consultant, Fort Worth, Texas Donald H. Sanders is the author of eight books about computers and statistics. Over 20 editions of these texts have been published in English, and several have been released in French, German, Spanish, Chinese, and other languages. Well over a million copies of these books have been used in college courses and in industry and government training programs. Dr. Sanders has 20 years of teaching experience. After receiving degrees from Texas A & M University and the University of Arkansas, he was a professor at the University of Texas at Arlington and at Memphis State University. He was a tenured full professor at Texas Christian University for 14 years. In addition to his books, Dr. Sanders has contributed articles to journals such as Data Management, Automation, Banking, Journal of Small Business Management, Journal of Retailing, and Advanced Management Journal. He has also encouraged his graduate students to contribute articles to national periodicals, and over 70 of these articles have been published. Dr. Sanders has chaired the "Computers and Data Processing" Subject Examination Committee, CLEP Program, College Entrance Examination Board, Princeton, New Jersey. Robert K. Smidt, California Polytechnic State University Robert K. Smidt earned a B.S. in mathematics from Manhattan College, an M.S. in statistics from Rutgers University, and a Ph.D. in statistics from the University of Wyoming. Dr. Smidt has taught at the University of Florida, University of Wyoming, Rutgers University, Oregon State University, Cuesta College, Fashion Institute of Technology, for LaVerne College at Vandenberg AFB, for Chapman College at the California Mens Colony, and for the Continuing Education Institute. He is currently professor and former chair of the Statistics Department at Cal Poly, San Luis Obispo, California. Dr. Smidt has broad statistical consulting experience. He has worked for or with the Department of Defense at the Pentagon, Lawrence Livermore National Laboratory, Tenera, Diablo Canyon Nuclear Power Plant, Bechtel Power Corporation, Cogimet, Lindamood-Bell Leaning Processes, Fred Streit Associates, Division of Business and Economic Research of the University of Wyoming, County of San Luis Obispo, and the California State Water Resources Control Board. He helped establish the university-wide statistical consulting service at Cal Poly and has extensive consulting experience within the university. Dr. Smidt has contributed to journals such as Biometrics, Journal of Clinical Neuropsychology, Medical Anthropology, Journal of the Lepidopterists' Society, and American Journal of Orthodontics and Dentofacial Orthopedics, and to collections such as Statistical Case Studies, A Collaboration Between Academe and Industry and Familias y relaciones de genero en transformacion.
Chapter 1Let’s Get Started Looking Ahead 1-1What to Expect 1-2Purpose and Organization of the Text 1-3 Need for Statistics 1-4Statistical Problem-Solving Methodology 1-5Role of the Computer in Statistics Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer ExercisesChapter 2Thinking Critically about Data: Liars, #$%& Liars, and a Few Statisticians Looking Ahead 2-1Unfavorable Opinions and the Bias Obstacle 2-2Aggravating Averages 2-3Disregarded Dispersions 2-4The Persuasive Artist 2-5 The Post Hoc Ergo Propter Hoc Trap 2-6 Antics with Semantics and Trends 2-7Follow the Bouncing Base (If You Can) 2-8Avoiding Spurious Accuracy and Other Pitfalls Looking Back Review Exercises Topics For Review And DiscussionProjects/Issues To ConsiderComputer ExercisesChapter 3Descriptive Statistics Looking Ahead 3-1 Introduction to Data Collection 3-2Data Organization and Frequency Distributions 3-3Graphic Presentations of Frequency Distributions 3-4Computing Measures of Central Tendency 3-5Computing Measures of Dispersion 3-6Summarizing Qualitative Data Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 4Probability Concepts Looking Ahead4-1Some Basic Considerations4-2Probabilities for Compound Events4-3Random Variables, Probability Distributions, and Expected Value Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 5Probability DistributionsLooking Ahead 5-1 Binomial Experiments 5-2Determining Binomial Probabilities 5-3The Poisson Distribution 5-4The Normal Distribution Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 6Sampling Concepts Looking Ahead 6-1Sampling: The Need and he Advantages 6-2Sampling Distribution of Means – A Pattern of Behavior 6-3Sampling Distribution of Percentages Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 7Estimating Parameters Looking Ahead 7-1Estimate, Estimation, Estimator, et Cetera 7-2Interval Estimation of the Population Mean: Some Basic Concepts 7-3Estimating the Population Mean 7-4Estimating the Population Percentage 7-5Estimating the Population Variance 7-6Determining Sample Size to Estimate or Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 8Testing Hypotheses: One Sample Procedures Looking Ahead 8-1The Hypothesis-Testing Procedure in General 8-2One-Sample Hypothesis Tests of Means 8-3One-Sample Hypothesis Tests of Percentages 8-4One-Sample Hypothesis Tests of Variances and Standard Deviations Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 9Inference: Two-Sample Procedures Looking Ahead 9-1Hypothesis Tests of Two Variances 9-2Inferences about Two Means 9-3Hypothesis Tests of Two Percentages Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 10Analysis of Variance Looking Ahead 10-1Analysis of Variance: Purpose and Procedure 10-2An ANOVA Example 10-3The One-Way ANOVA Table and Computers to the Rescue Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 11Chi-Square Tests: Goodness-of-Fit and Contingency Table Methods Looking Ahead 11-1 Chi-Square Testing: Purpose and Procedure 11-2The Goodness-of-Fit Test 11-3The Contingency Table Test Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 12Linear Regression and Correlation Looking Ahead 12-1 Introductory Concepts 12-2Simple Linear Regression Analysis 12-3Relationship Tests and Prediction Intervals in Simple Linear Regression Analysis 12-4Simple Linear Correlation Analysis 12-5Multiple Linear Regression and Correlation Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review QuestionsChapter 13Nonparametric Statistical Methods Looking Ahead 13-1Nonparametric Methods: Uses, Benefits, and Limitations 13-2Sign Tests 13-3The Wilcoxon Signed Rank Test 13-4The Mann-Whitney Test 13-5The Kruskal-Wallis Test 13-6Runs Test for Randomness 13-7Spearman Rack Correlation Coefficient Looking Back Review Exercises Topics for Review and Discussion Projects/Issues to Consider Computer Exercises Answers to Odd-Numbered Self-Testing Review Questions Appendices 1Selected Values of the Binomial Probability Distribution 2Areas under the Standard Normal Probability Distribution 3A Brief Table of Random Numbers 4Areas for t Distributions 5F Distribution Tables 6Chi-Square Distribution 7Critical Values of T for = .05 and = .01 in the Wilcoxon Signed Rank Test 8Distribution of U in the Mann-Whitney Test 9Critical Values for r in the Runs Test for Randomness 10Selected Values of the Poisson Probability Distribution 11Entering and Editing Data in Minitab 12Answers to Odd-Numbered Exercises
| Sprache | englisch |
|---|---|
| Maße | 211 x 262 mm |
| Gewicht | 1529 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| ISBN-10 | 0-07-233217-4 / 0072332174 |
| ISBN-13 | 978-0-07-233217-9 / 9780072332179 |
| Zustand | Neuware |
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