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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An explicit discussion on scale of measurement is needed. For an introductory course or a reference, this book has comprehensive coverage of the intended content. While I consider this text as valuable resource, I will not be adopting it for my class.
I did not observe any numerical errors or other obvious errors. Reviewed by Deborah Wall, Asst. The book focuses on applications of statistical knowledge rather than the theory behind it. Accordingly, if you are not sure whether material infringes your copyright, we suggest that you first contact an attorney.
I was disappointed to find a lack of discussion on the use of residual plots in chapter I think the text does an excellent job in facilitating students’ participation and collaboration. Want to Read saving…. To see what your friends dtatistics of this book, please sign up. The usual Pearson chi-squared test is generally a bad idea in this context. There are always opportunities to add discussions from current news events. As mentioned before in my comprehensive comments, it will be good to have a mix of technology use instructions to perform some of the computations, like using Excel, Minitab or SPSS.
Efforts towards inclusion mainly occur through the use of examples or exercises that reference different ethnicities or backgrounds. An on-line course based on the textbook was also developed by Illowsky and Dean. However, these instructions are limited only to the use of specific calculators, the TI 83 and 84 series.
Courses using this textbook have beenarticulated by the University of California for transfer of credit. No real issues noted related to the interface. Everything appeared to be clear, appropriately sized, etc. Other than race and ethnicity, it is also important to me that a text is inclusive of people from different economic backgrounds.
Collaborative Statistics by Barbara Illowsky. Another topic that is not covered is hypothesis testing for Single Mean and Single Proportion.
Return to Book Page. I do not feel that this section was done well and even done well it should have disappeared 30 years ago. Not only is the content of this text accurate, it is clearly presented and accessible to a wide audience.
There are a few examples that apply to current cultural trends which may become outdated but there are not too many of these examples so this should not be an issue. The problems are interesting.
Collaborative Statistics, 2nd Edition: Barbara Illowsky, Susan Dean: : Books
This is a serious shortcoming in my opinion. The book is very relevant and will apply since statistical concepts will generally not need to be updated. Amazon Second Chance Pass it on, trade it in, give it a second life. If you read the problem carefully, you will notice that there is no population standard deviation given. In fact, they learn best byworking in small groups. Two emissions are Experimental Designs and Bayes Theorem.
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Even if that is the way the data came from the source we have an obligation to try to help people understand what sort of groups they ought to make. However it follows that section with a long section using the assumption that the variances are known. Add both to Cart Add both to List. In the Linear Regression and Correlation, for example, I can do with a lot less manual calculation and sketching of the Least Square line. I also check to see if the text differentiates babara large and small sample inference for means since there is no reason statostics do so.
I reviewed using the pdf version of the book. Customers who bought this item also bought.
I am not a huge fan of this book. Collaborative Statistics has been used barbaa classes that range from 20 to students, and inregular, honor, collaborative distance learning classes. I doubt it profoundly. As one who understands hypothesis tests, I see where all of these pieces illoasky in, but I can only imagine that the uninitiated illlowsky probably have a difficult time understanding all of these very different pieces of this puzzle.
However it then uses the same normal approximation when doing inference with proportions. It contains lots of jargon with very little context.
I found the contents in the book to be accurate and unbiased. The text is nicely laid out and organized and can be modularized depending on an instructors preference. Sworn Statements I have a good faith belief that use of the copyrighted materials described above as allegedly infringing is not authorized by the copyright owner, its agent, or the law.
I guess that a lot of instructors would find many of these activities hard to do in a room with students.
The same notation and terminology is used for example in confidence intervals and in hypothesis testing.