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Elementary Statistics: A step by step approach 9e
Tutorial instruction and worked-out examples for the TI-83 Calculator, Excel, and MINITAB.
Elementary Statistics,Seventh Edition,is appropriate for someone learning introductory statistics who has experience with algebra. Elementary Statisticsis thorough and precise, and uses real data extensively. Readers find the book readable and clear, and they appreciate that the math level is right for a diverse population. The book thoroughly explains then illustrates concepts through an abundance of worked-out examples. The Nature of Statistics; Descriptive Statistics; Organizing Data; Descriptive Measures; Descriptive Methods in Regression and Correlation; Probability and Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Mean; Inferential Statistics; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Proportions; Chi-Square Procedures; Analysis of Variance (ANOVA); Inferential Methods in Regression and Correlation For all readers interested in Elementary Statistics
Elementary Statistics is geared toward students who do not have a strong mathematics background and have completed at least high school algebra. This book uses a nontheoretical approach in which concepts are explained intuitively and are supported by examples. There are no formal proofs in this book. The statistical applications are drawn from various disciplines, including natural sciences, social sciences, business, economics, and computer science.
Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job* Contains hundreds of solved problems and case studies, using real data sets* Avoids unnecessary theory