Buy Collaborative Statistics on ✓ FREE SHIPPING on qualified orders. *FREE* shipping on qualifying offers. Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino. Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California.

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The textbook is very comprehensive and appears to cover most topics in an introductory statistics course. Amazon Inspire Digital Educational Resources.

I believe I will use every chapter except, 3, 6, 7 and There were several similar examples I found in my review. This textbook is intended for introductory statistics courses being taken by students at collaboratie and four-year colleges who are majoring in fields other than math or engineering.

I would absolutely feel comfortable assigning reading from this text with the expectation that students come away with an understanding of basic principles. The material was presented using very creative approaches that made it interesting and dare I say entertaining to read.

Another topic that is not covered is hypothesis testing for standard deviations. Address Address is required. Intermediate algebra is the only prerequisite. Age Verification The page you are attempting to access statostics content that is not intended bagbara underage readers.

This text, on the other hand, is readable and targeted to diverse non-majors in a community college setting. Look at “If X is a random variable, then X is written in words. In fact the primary audience of kllowsky text is a racially diverse community college student body. I did notice that the text does not cover effect size and statistical power is only briefly covered. The problems require the students to apply theirnewly found skills. English Choose a language for shopping. I may have encountered one small error in collabroative answers provided for a practice problem, but that occurs in expensive statistics textbooks as well and the important points and concepts are accurate, error-free, and unbiased.


Courses using this textbook have beenarticulated by the University of California for transfer of credit. Each section can be studied by students. Comments Overall, I feel the text does a good job of covering various topics from an introductory statistics course.

This little subsection contains the phrase “If you let the number of samples get very large say, million or morethe relative frequency table becomes a relative frequency distribution. I no longer have to worry about projecting problems or displaying discussion prompts to accommodate all learners.

The index makes it particularly statjstics to locate specific terms, tests, practice problems, and homework assignments.

Collaborative Statistics

collaborstive What a find for me and my students. Whether the illoweky in quality is worth the difference in price is a very debatable question. For example, I think this text could do a better job of emphasizing and illustrating that correlation does not equal causation, or what they should think about when they hear a statistic quoted on television — how did they sample, are there any hidden design issues that raise doubt about that statistic?

There is some focus on computing probabilities using tables but the book does see that tables are no longer really useful or used.

Collaborative Statistics by Barbara Illowsky and Susan Dean

Moderation of Questionable Content Thank you for your interest in helping us moderate questionable content on Lulu. The actual process of il,owsky causes sampling errors.

Students learn the best by actively participating, not by justwatching and listening. This should give the text a very high level of longevity and the relevance is fantastic across a wide range of academic programs.

The text is very comprehensive of the materials I teach in a first semester statistics course. Single Mean and Single Proportion which is typical of most of the student generated questions in the chapter. It is designed to make submitting notices of alleged infringement to us as straightforward as possible while reducing the number of notices that we receive that are fraudulent or difficult to understand or verify.

The on-line course will include, in addition to expository text and examples, videos of courselectures in captioned and non-captioned format. However, no mention is made of how difficult it is to create a sampling frame for a large population and no mention is made of how a large simple random sample could be taken from a sampling frame. This book is not yet featured on Listopia.


Collaborative Statistics, 2nd Edition by Barbara Illowsky (Paperback) – Lulu

Statietics Oyeleye marked it as to-read Sep 05, A Teacher’s Guide iscurrently available in print form and on the Connexions site at and supplemental course materials including additional problem sets and video lectures are available. My guess is that no one in a class of tourism students would get anything from the chapter on analysis of variance.

On page 74 I see mu-bar in the formulas for population standard deviation. The reader quickly becomes familiar with how each chapter is presented and knows what to expect. However, an instructor, using a textbook Collzborative our Membership Agreement “Lulu is a place where people of all ages, backgrounds, experience, and professions can publish, sell, or buy creative content such as novels, memoirs, poetry, cookbooks, technical manuals, articles, photography books, children’s books, calendars, and a host of other content that defies statistisc categorization.

I do think there are times when more intuitive discussions could follow the presentation of a formula or definition.

On the other hand, some areas receive more coverage than they should. The definitions, descriptions, formulas, examples, and problems all were presented in barbsra accessible terms and were easy to understand. Given the widespread access to other computational tools–and the relative obsolescence of graphing calculators–the text as written iklowsky lack staying power. By and large, the topics in a big picture sense are presented in a logical fashion, and prerequisite material is presented before it becomes necessary.

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