The goal of this book is to provide a broad background in probability and statistics for students in statistics, computer science (especially data min- ing and . Introduction to Statistics. Online Edition. Primary author and editor: David M. Lane1. Other authors: David Scott1, Mikki Hebl1, Rudy Guerra1, Dan Osherson1, . The lecture notes are based on chapters 8, 9, 10, 12 and 16 of the book WALPOLE, R.E. & A statistic is some individual value calculated from a sample: f(X1.

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tion to probability and mathematical statistics and it is intended for students Louisville for providing many internal financial grants while this book was. Clarke, G.M. & Cooke, D., A Basic course in Statistics. Arnold,. Electronic Statistics Textbook, ronaldweinland.info Freund. An Introduction to the Science of Statistics: From Theory advanced pieces can serve as a bridge from this book to more well developed accounts. My goal is .

This is the first statistical publication by UNID Read more For this purpose, countries are ranked by Competitive Industrial Performance Index CIP Index , which consolidates eight indicators related to production and trade of manufact While the first report of This becomes especially obvious now, when these countries are getting deeper involved in the process of globalization of the world economics. The country borders become more and more transparent for the industrial activities and the World Statistics on Mining and Utilities Book Published on: Monday, 06 Aug This biennial publication provides a unique overview of the role of mining and utility activities in the world economy, presenting detailed time series data on the level, structure and growth of such activities by country and sector.

The publication presents the source and methods of compiling these indicators and describe the baseline scenario with currently available data. It presents detailed, country-specific, business structure statistics.

The Yearbook presents the annual figures on global manufacturing growth and structure.

More current estimates are presented World Statistics on Mining and Utilities Book Published on: Monday, 01 Aug This biennial publication provides a unique overview of the role of mining and utility activities in the world economy, presenting detailed time series data on the level, structure and growth of such activities by country and sector.

World Statistics on Mining and Utilities offers country level data on the nu The case studies give examples of practical applications of statistical analyses. Many of the case studies contain the actual raw data.

To note is that the on-line e-book provides several calculators for the essential distributions and tests. These are provided in lieu of printed tables which are not included in the pdf. Such tables are readily available on the web. The content is accurate and error free. Notation is standard and terminology is used accurately, as are the videos and verbal explanations therein.

Online links work properly as do all the calculators. The text appears neutral and unbiased in subject and content. The text achieves contemporary relevance by ending each section with a Statistical Literacy example, drawn from contemporary headlines and issues.

Of course, the core topics are time proven.

The text is very readable. Meanwhile for this same content the on-line version appears streamlined, uncluttered, enhancing the value of the active links. This terminology and symbol use are consistent throughout the text and with common use in the field. The pdf text and online version are also consistent by content, but with the online e-book offering much greater functionality.

The chapters and topics may be used in a selective manner. Certain chapters have no pre-requisite chapter and in all cases, those required are listed at the beginning of each module.

It would be straightforward to select portions of the text and reorganize as needed. The online version is highly modular offering students both ease of navigation and selection of topics. Chapter topics are arranged appropriately. In an introductory statistics course, there is a logical flow given the buildup to the normal distribution, concept of sampling distributions, confidence intervals, hypothesis testing, regression and additional parametric and non-parametric tests.

The normal distribution is central to an introductory course. 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. Each chapter is structured with several modules, each beginning with pre-requisite chapter s , learning objectives and concluding with Statistical Literacy sections providing a self-check question addressing the core concept, along with answer, followed by an extensive problem set.

The clear and concise learning objectives will be of benefit to students and the course instructor. No solutions or answer key is provided to students. The on-line interface works well. In fact, I was pleasantly surprised by its options and functionality. The pdf appears somewhat sparse by comparison to publisher texts, lacking pictures, colored boxes, etc. But the on-line version has many active links providing definitions and graphic illustrations for key terms and topics.

Most sections also have short videos that are professionally done, with narration and smooth graphics. In this way, the text is interactive and flexible, offering varied tools for students. The text in pdf form appeared to free of grammatical errors, as did the on-line version, text, graphics and videos.

This text contains no culturally insensitive or offensive content. The focus of the text is on concepts and explanation. The text would be a great resource for students. The full content would be ambitious for a 1-semester course, such use would be unlikely.

The text is clearly geared towards students with no statistics background nor calculus. The text could be used in two styles of course. For 1st year students early chapters on graphs and distributions would be the starting point, omitting later chapters on Chi-square, transformations, distribution-free and size effect chapters. Alternatively, for upper level students the introductory chapters could be bypassed with the latter chapters then covered to completion.

The e-book videos are an enabling tool if this approach is adopted. This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. But the challenge is the 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.

If not done properly this could lead to deceptive inferences, inadvertently or purposely. This book does a great job in explaining the above using many examples and real world case studies. If you are looking for a book to learn and apply statistical methods, this is a great one. I think the author could consider revising the title of the book to reflect the above, as it is more than just an introduction to statistics, may be include the word such as practical guide.

The contents of the book seems accurate. Some plots and calculations were randomly selected and checked for accuracy. The book topics are up to date and in my opinion, will not be obsolete in the near future.

I think the smartest thing the author has done is, not tied the book with any particular software such as minitab or spss. No matter what the software is, standard deviation is calculated the same way as it is always. The contents and examples cited are clear and explained in simple language. Data analysis and presentation of the results including mathematical calculations, graphical explanation using charts, tables, figures etc are presented with clarity.

Terminology is consistant. Framework for each chapter seems consistent with each chapter beginning with a set of defined topics, and each of the topic divided into modules with each module having a set of learning objectives and prerequisite chapters.

The text book is divided into chapters with each chapter further divided into modules. Each of the modules have detailed learning objectives and prerequisite required. 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. However, there are some issues with table of contents and page numbers, for example chapter 17 starts in page not Also some tables and figures does not have a number, for instance the graph shown in page does not have a number. Also it would have been better if the chapter number was included in table and figure identification, for example Figure Also in some cases, for instance page , the figures and titles are in two different pages.

No major issues. Only suggestion would be, since each chapter has several modules, any means such as a header to trace back where you are currently, would certainly help. Easy to read and phrased correctly in most cases. Minor grammatical errors such as missing prepositions etc. In some cases the author seems to have the habbit of using a period after the decimal.

For instance page , etc. However it contains some statements even though given as examples that could be perceived as subjective, which the author could consider citing the sources.

For example from page Statistics include numerical facts and figures.

For instance: This text covers all the standard topics in a semester long introductory course in statistics. It is particularly well indexed and very easy to navigate. There is comprehensive hyperlinked glossary. The material is completely accurate. There are no errors. The terminology is standard with one exception: You and your team have turned one of the most technical subjects in my curriculum into an understandable and even enjoyable field to learn about. Every concept is explained simply, every equation justified, and every figure chosen perfectly to clearly illustrate difficult ideas.

This is the only textbook I have ever truly enjoyed reading, and I just wanted to thank you and all other contributors for your time and efforts in its production. Then, if you finish that and want more, read The Elements of Statistical Learning.

Full review here. I covered that last year. Wake me up when we get to Support Vector Machines!

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