The structure of the text is very consistent. As a text for an introductory course, standard topics are covered. So you can extract a portion of the book and use it as a standalone to teach certain topics or as a learning guide to apply a relevant topic.Presentation of the topics are well thought and are presented in a logical fashion as if it would be introduced to someone who is learning the contents. What is beneficial is that there are multiple ways that a topic is discussed using graphs, calculations and explanations of the results. The learner can easily follow up the material; there is no interface problem.There is no logic errors and incorrect explanations, a few typographical errors is just to be ignored.This book is pretty comprehensive for being a brief introductory book. Excel-Statistics-Book.htm Many students are using our Free Statistics Lab Manual\rwhich loads into most spreadsheets.\rIt is really a Quick way to learn.\rIt is a stand alone but was designed to use with our free\rQuick Notes Statistics textbooks.\rThis textbook had 90,000 free pd\ Each module is well-defined. The author does a great job of explaining nearly every new term or concept. It is also more commonly used nowadays. Probabilities 2.
However, there were several sections where the punctuation seemed non-ideal. If would be better if there was accountability of what a student should already have learnt in a different section. The structure is very organized with the prerequisite information stated and upcoming learner outcomes highlighted. It would have worked well for the general statistics courses I have taught in the past but is not as suitable for specialized introductory statistics courses for engineers or business applications. An instructor’s manual is available by contacting the author. The topics are up-to-date, and appropriate technology is used for examples, applications, and case studies. Some materials may not need to be covered in an one-semester course. It covers the fundamental of the introductory statistics, however not a comprehensive text on the subject. The text is very clear and direct with the language used. This book does a great job in explaining the above using many examples and real world case studies. The full content would be ambitious for a 1-semester course, such use would be unlikely. The statistical formulas and calculations have been used for centuries. The text book provides an effective index, plenty of exercises,...The text includes the introductory statistics topics covered in a college-level semester course.
The chapter on regression is covered towards the end (chapter 14), but part of it can be covered sooner in the course. The text would be a great resource for students. A comprehensive glossary provides definitions for all the major terms and concepts. The normal distribution is central to an introductory course. But the on-line version has many active links providing definitions and graphic illustrations for key terms and topics. This textbook offers a fairly comprehensive summary of what should be discussed in an introductory course in Statistics. This text will remain up to date for a long time since it has timeless examples and exercises, it wouldn't be outdated.
Overall, this textbook will cover most of the topics in a survey of statistics course. It would have worked well for the general statistics courses I have taught in the past but is not as suitable for specialized introductory statistics courses for...As the title implies, this is a brief introduction textbook. It is suitable for an introductory statistics course for non-math majors. I think this rearranged version of the index would better align with current Introductory Statistics texts. The only sections that feel somewhat light in terms of content are the confidence intervals and ANOVA sections. In some cases the author seems to have the habbit of using a period after the decimal. Statistics textbooks have to cover a wide variety of topics with a fair amount of depth. Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. That is OK, they have separate texts for that! For example from page 11: The text uses simple and clear language, which is helpful for non-native speakers.
The text is easy readable for the first time statistics student. No matter what the software is, standard deviation is calculated the same way as it is always.
This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. It would be helpful to have the statistical tables...This is a comprehensive enough text, considering that it is not easy to create a comprehensive statistics textbook. But the challenge is the...This text covers all the standard topics in a semester long introductory course in statistics. 3 festations. 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. It contains twenty-one chapters, covering the wide range...This is a reasonably thorough first-semester statistics book for most classes. NCERT Class 11 Statistics Books are provided in PDF form so that students can access it at any time anywhere. It also has a formula review at the end of each chapter. There isn't much changing in the introductory stats world, so I have no concerns about the book becoming outdated rapidly.