I like how each chapter has prerequisites and learner outcomes, this gives students a good idea of what to expect. /BaseFont/MYJYRV+CMTT10 Different books still use different variable symbols even for basic calculated statistics. read more. However, we would appreciate a citation where possible. read more. The text is very readable. "Interquartile range" is simply a better, more descriptive term of the concept that it describes. Descriptive statistics are procedures used to summarize, organize, and make sense of a … read more. An effective index and glossary are included, with functional hyperlinks. Necessary precursor topics are covered in this text, while its use in significance and hypothesis testing follow, and thereafter more advanced topics, including multi-factor ANOVA. << Reviewed by Zaki Kuruppalil, Associate Professor, Ohio University on 2/1/18, This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. As students increasingly buy TI-89s or Inspires, these sections of the book may lose relevance faster than other parts. Academia.edu is a platform for academics to share research papers. Our motivation for writing it is to provide a low-cost alternative to many existing popular textbooks on the market. Solid. /LastChar 196 Also in some cases, for instance page 109, the figures and titles are in two different pages. Material in this book is covered in good detail. on January 23, 2017, There are no reviews yet. CHAPTER 1: INTRODUCTION TO STATISTICS 3 student fidgeted. >> Reviewed by Randy Vander Wal, Professor, The Pennsylvania State University on 2/1/18, As a text for an introductory course, standard topics are covered. by A. M. Mood, F. A. Graybill, D. C. Boes, Publisher: McGraw-Hill 1974ISBN/ASIN: 0070854653ISBN-13: 9780070854659Number of pages: 577. Chapter topics are arranged appropriately. The order of chapters and sections is clear and logical. PDF | An elementary book of Statistics for all undergraduate students. The full content would be ambitious for a 1-semester course, such use would be unlikely. It covers the fundamental of the introductory statistics, however not a comprehensive text on the subject. While the pdf text may appear “sparse” by absence varied colored and inset boxes, pictures etc., the essential illustrations and descriptions are provided. The content is accurate and error free. The text is clean and clear, the examples provided contain appropriate format of data presentation. The structure is very organized with the prerequisite information stated and upcoming learner outcomes highlighted. /Type/Font If you are looking for a book to learn and apply statistical methods, this is a great one. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. This text will remain up to date for a long time since it has timeless examples and exercises, it wouldn't be outdated. There is no distortion of images or charts. Statistics Theory and method of analyzing quantitative data from samples of observations to help make decisions about hypothesized relations. A teacher can use this book as the sole text of an introductory statistics.... The material is presented in a clear, concise manner. This textbook offers a fairly comprehensive summary of what should be discussed in an introductory course in Statistics. 388.9 1000 1000 416.7 528.6 429.2 432.8 520.5 465.6 489.6 477 576.2 344.5 411.8 520.6 But the challenge is the knowledge of how to set the case, setting parameters (for example confidence intervals) and knowing its implication on the interpretation of the results. The text presents the information in a logical order. Obviously, such students should be able to work through the details of 'hard' proofs and derivations. Some plots and calculations were randomly selected and checked for accuracy.