4 edition of The Rainbow introductory guide to statistics found in the catalog.
The Rainbow introductory guide to statistics
|Statement||written by Michael Plog and Norman K. Stenzel ; edited by Belinda C. Kirby ; associate editor, Debbie Hartley.|
|Series||The Rainbow bookshelf|
|Contributions||Stenzel, Norman K., Kirby, Belinda C.|
|LC Classifications||QA276 .P568 1987|
|The Physical Object|
|Pagination||iv, 182 p. :|
|Number of Pages||182|
|LC Control Number||86082276|
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Buy Rainbow Guide to Introductory Statistics (The Rainbow bookshelf) on FREE SHIPPING on qualified orders Rainbow Guide to Introductory Statistics (The Rainbow bookshelf): Plog, Michael, Stenzel, Norman: : Books.
About the Book. Introduction to Statistics is a resource for learning and teaching introductory statistics. This work is in the public domain. Therefore, it can be copied and reproduced without limitation. However, we would appreciate a citation where possible/5(9).
The Rainbow Series of Department of Defense standards is outdated, out of print, and provided here for historical purposes ONLY.
The following is only a partial list--a more complete collection is available from the Federation of American Scientists: DoD STD 'Orange Book', DoD Trusted Computer System Evaluation Criteria (Decem ) CSC-STD 'Green Book', DoD.
A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming. A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming.
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They were originally published by the U.S. Department of Defense Computer Security Center, and then by the National Computer Security Center. book. This book uses the basic structure of generic introduction to statistics course. However, in some ways I have chosen to diverge from the traditional approach.
One divergence is the introduction of R as part of the learning process. Many have used statistical packages or spreadsheets as tools for teaching statistics. Introduction; Null and Alternative Hypotheses; Outcomes and the Type I and Type II Errors; Distribution Needed for Hypothesis Testing; Rare Events, the Sample, Decision and Conclusion; Additional Information and Full Hypothesis Test Examples; Hypothesis Testing of a Single Mean and Single Proportion; Key Terms; Chapter Review; Formula Review.
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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint.
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Browse the Rainbow Magic books for sale here at The Scholastic Parent Store.Statistics came well before computers. It would be very different if it were the other way around.
The stats most people learn in high school or college come from the time when computations were.