CK-12's Probability and Statistics - Basic (A Full Course) PDF Download
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Author: CK-12 Foundation
Publisher: CK-12 Foundation
ISBN: 1935983458
Category : Mathematics
Languages : en
Pages : 298
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Book Description
CK-12's Probability and Statistics - Basic (A Full Course) is an introduction to theoretical probability and data organization. Its 8 chapters cover the following topics: Independent and Dependent Events, Conditional Probability, Discrete Random Variables, Probability Distributions, Measures of Central Tendency, Normal Distribution, Distributions of Data, and Organizing and Displaying Data for Comparison.
Author: CK-12 Foundation
Publisher: CK-12 Foundation
ISBN: 1935983458
Category : Mathematics
Languages : en
Pages : 298
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Book Description
CK-12's Probability and Statistics - Basic (A Full Course) is an introduction to theoretical probability and data organization. Its 8 chapters cover the following topics: Independent and Dependent Events, Conditional Probability, Discrete Random Variables, Probability Distributions, Measures of Central Tendency, Normal Distribution, Distributions of Data, and Organizing and Displaying Data for Comparison.
Author: Brenda Meery
Publisher: CK-12 Foundation
ISBN: 1935983741
Category : Mathematics
Languages : en
Pages : 165
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Book Description
CK-12 Foundation's Basic Probability and Statistics A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
Author: CK-12 Foundation
Publisher: CK-12 Foundation
ISBN: 1935983393
Category : Mathematics
Languages : en
Pages : 378
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Book Description
CK-12's Advanced Probability and Statistics-Second Edition is a clear presentation of the basic topics in statistics and probability, but finishes with the rigorous topics an advanced placement course requires. Volume 1 includes the first 6 chapters and covers the following topics: Analyzing Statistical Data, Visualizations of Data, Discrete Probability Distribution, Normal Distribution, and Experimentation.
Author:
Publisher: CK-12 Foundation
ISBN:
Category :
Languages : en
Pages : 226
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Book Description
Author: Sam C. Robertson
Publisher: CreateSpace
ISBN: 9781516887095
Category :
Languages : en
Pages : 80
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Book Description
Thought-provoking and accessible in approach, this updated and expanded second edition of the CK-12 Probability and Statistics - Basic (a Short Course) provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to
[email protected] Rise Press
Author:
Publisher:
ISBN:
Category : Probabilities
Languages : en
Pages :
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Book Description
Author: CK-12 Foundation
Publisher: CK-12 Foundation
ISBN: 1935983407
Category : Mathematics
Languages : en
Pages : 202
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Book Description
Author:
Publisher:
ISBN:
Category : Electronic book
Languages : en
Pages :
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Book Description
Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446
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Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author: David Williams
Publisher: Cambridge University Press
ISBN: 9780521006187
Category : Mathematics
Languages : en
Pages : 570
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Book Description
An advanced textbook; with many examples and exercises, often with hints or solutions; code is provided for computational examples and simulations.
