BASIC STATISTICS EBOOK

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These lecture notes have been used at Basics of Statistics course held in Uni- versity of Tampere Population and sample are two basic concepts of statistics. This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The text book provides an effective index, plenty of. Become a member of lyatrusavquoper.cf and you can download five free ebooks Basic Business Statistics is a classic text book under COMMERCE discipline.


Basic Statistics Ebook

Author:KIZZIE HADDON
Language:English, French, Japanese
Country:Samoa
Genre:Fiction & Literature
Pages:516
Published (Last):15.03.2016
ISBN:206-6-73076-586-3
ePub File Size:24.58 MB
PDF File Size:20.58 MB
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Basic Statistics Covers A Wide Range Of Statistical Theory Taught In Almost All Faculties. Theory Followed By Relevant Formulae Is Fully Explicated Through. List of download links for free statistics e-books (in PDF format), level Download link · Introduction to Statistical Thought by Michael Lavine. Study statistics online free by downloading OpenStax's Introductory Statistics book and using our accompanying online resources.

Add a comment: You need to login to post a comment. Other books by author Rao Management and Organization Behavior Reads: Mar Managerial Economics Reads: Accounting for Managers Reads: You may also like May Oct 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.

Basic Business Statistics eBook - 180 day rental, 5th Edition

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.

Customer Reviews

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.

Introduction to Statistics

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.

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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: Ideally, the term "interquartile range" would be used in place of every reference to "H-spread. It is also more commonly used nowadays. This book came out a number of years ago, but the material is still up to date. Some more recent case studies have been added. The writing is very clear. There are also videos for almost every section.

The section on boxplots uses a lot of technical terms that I don't find are very helpful for my students hinge, H-spread, upper adjacent value. The text is internally consistent with one exception that I noted the use of the synonymous words "H-spread" and "interquartile range". The text book is brokenly into very short sections, almost to a fault.

Each section is at most two pages long. However at the end of each of these sections there are a few multiple choice questions to test yourself. These questions are a very appealing feature of the text. The organization, in particular the ordering of the topics, is rather standard with a few exceptions.

Boxplots are introduced in Chapter II before the discussion of measures of center and dispersion. Most books introduce them as part of discussion of summaries of data using measure of center and dispersion. Some statistics instructors may not like the way the text lumps all of the sampling distributions in a single chapter sampling distribution of mean, sampling distribution for the difference of means, sampling distribution of a proportion, sampling distribution of r.

I have tried this approach, and I now like this approach. But it is a very challenging chapter for students. The book's interface has no features that distracted me.

Overall the text is very clean and spare, with no additional distracting visual elements. The book's cultural relevance comes out in the case studies. As of this writing there are 33 such case studies, and they cover a wide range of issues from health to racial, ethnic, and gender disparity. Each chapter as a nice set of exercises with selected answers. The thirty three case studies are excellent and can be supplement with some other online case studies. An instructor's manual and PowerPoint slides can be obtained by emailing the author.

There are direct links to online simulations within the text. This text is very high quality textbook in every way. Independent Language: Reviews Learn more about reviews. There are no navigation problems nor any display issues.

Comments Overall, it's well-written and good recourse to be an introduction to statistical methods. Comments An included solutions manual for the exercises would be valuable to educators who choose to use this text. Comments The text would be a great resource for students. Comments Solutions for the exercises would be a great teaching resource to have. Comments Each chapter as a nice set of exercises with selected answers.

Table of Contents 1. Introduction 2. This textbook contains the extension of univariate random variable to multivariate random variables with emphasis on Bivariate Distributions. Find the book you need Go! Business eBooks are Premium Start a day free trial of our Premium eReader, and gain access to our huge Business eBook library Try for free Try our companywide e-learning solution for free — Click here. Showing 16 results View as list or grid Sort by popularity rating published.

An introduction to Business Research Methods Dr.

Sue Greener;Dr. Joe Martelli. Read more. This website uses cookies to improve user experience.Visualization of regression coefficients in R Articles about R. Kortext is an ebook and etextbook provider for universities, university students and for anyone who loves to read. Download a pdf:. I am currently reading it and although not yet complete, it seems a good, self-contained introduction to stats with R and Rcmdr.

However, we would appreciate a citation where possible.

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