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CK-12 Advanced Probability and Statistics
 
 

CK-12 Advanced Probability and Statistics [Kindle Edition]

CK-12 Foundation

Kindle-Preis: EUR 0,00 Einschließlich kostenlose internationale drahtlose Lieferung über Amazon Whispernet


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CK-12 Foundation�s Probability and Statistics (Advanced Placement) FlexBook introduces students to basic topics in statistics and probability but finishes with the rigorous topics an advanced placement course requires.

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Amazon.com:  6 Rezensionen
96 von 97 Kunden fanden die folgende Rezension hilfreich
A Pretty Good Probability and Statistics Textbook 1. November 2010
Von Dr. Bojan Tunguz - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Von Amazon bestätigter Kauf
This is a very approachable and well presented text on Probability and Statistics. It is written with a beginning college student in mind, but could be used by advanced high school students or anyone else who needs to learn about statistics. It covers all the traditional topics in a probability and statistics curriculum - acquiring and analyzing data, visualization of data, introduction to probability, probability distributions, hypothesis testing, regression and correlation, chi-square test, analysis of variance, etc. The material is presented in a very straightforward manner and it is very easy to follow. There are multiple worked-out examples throughout the text, and each section ends with a several problems and their solutions. The problems vary in difficulty, and many are designed with practical applications in mind. The book also emphasizes the use of scientific calculator in working out of many problems, which is pedagogically a good approach.

This book is available under the Creative Commons License through the CK-12 foundation, which means it can be reprinted, modified and resold if necessary. It is also a fairly large file, pdf version being over 800 pages long, so be prepared for a longish download.

The Kindle formatting of this textbook leaves something to be desired. The book was originally typeset in LaTeX, and this did not translate all that smoothly into the Kindle format. I've found that getting this textbook on other e-readers or computers in the epub format rendered it much more satisfactorily.

This is not the flashiest textbook that you will come across, but in my opinion it gets the job done.
9 von 9 Kunden fanden die folgende Rezension hilfreich
Good free text on prob and stats 13. März 2011
Von Mark G. - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Von Amazon bestätigter Kauf
I am interested in probability for investments and gambling and this book had a good introduction on the subject. There was a lot more on statistics. However, there was enough on probability and the book introduced it simply and in a stragihtforward manner. There are some formating problems however. At times the ebook would freeze and refused to move forward. I had to go to the table of contents and click on another chapter to move forward again. This really annoyed me. Still, the ebook was free and I can't complain too much. Good introductory text on probability and stats at a great price - for free!
7 von 7 Kunden fanden die folgende Rezension hilfreich
Nice Introduction to Stats Textbook 22. Juni 2011
Von Shelley Jeltema - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Von Amazon bestätigter Kauf
I have been using this text for a "Stats for Scientists" and it has been a very good resource. I am not sure this would be useful if you desire to be a Stats Major, but for everyone else it is fine.

Beliebte Markierungen

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&quote;
When a characteristic can be neatly placed into well-defined groups, or categories that do not depend on order, it is called a categorical variable (some statisticians use the word qualitative). &quote;
Markiert von 103 Kindle-Nutzern
&quote;
In statistics, we call the actual number of tortoises a parameter. The number of tortoises in the sample, or any other number that describes the individuals in the sample (like their length, or weight, or age), is called a statistic. In general, each statistic is an estimate of a parameter, whose value is not known exactly. &quote;
Markiert von 73 Kindle-Nutzern
&quote;
In general, the potential difference between the true parameter and the statistic obtained from using a sample is called sampling error. &quote;
Markiert von 72 Kindle-Nutzern

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