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Download Statistics Full eBooks in PDF, EPUB, and kindle. Statistics is one my favorite book and give us some inspiration, very enjoy to read. you could read this book anywhere anytime directly from your device. This site is like a library, Use search box in the widget to get ebook that you want.

Introductory Statistics

Introductory Statistics Book
Author : Barbara Illowsky,Susan Dean
Publisher : Unknown
Release : 2017-12-19
ISBN : 9789888407309
File Size : 27,8 Mb
Language : En, Es, Fr and De

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Book Summary :

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them. Coverage and Scope Chapter 1 Sampling and Data Chapter 2 Descriptive Statistics Chapter 3 Probability Topics Chapter 4 Discrete Random Variables Chapter 5 Continuous Random Variables Chapter 6 The Normal Distribution Chapter 7 The Central Limit Theorem Chapter 8 Confidence Intervals Chapter 9 Hypothesis Testing with One Sample Chapter 10 Hypothesis Testing with Two Samples Chapter 11 The Chi-Square Distribution Chapter 12 Linear Regression and Correlation Chapter 13 F Distribution and One-Way ANOVA

How to Lie with Statistics

How to Lie with Statistics Book
Author : Darrell Huff
Publisher : W. W. Norton & Company
Release : 2010-12-07
ISBN : 0393070875
File Size : 40,9 Mb
Language : En, Es, Fr and De

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Book Summary :

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

The Book of R

The Book of R Book
Author : Tilman M. Davies
Publisher : No Starch Press
Release : 2016-07-16
ISBN : 1593277792
File Size : 21,8 Mb
Language : En, Es, Fr and De

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Book Summary :

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

OpenIntro Statistics

OpenIntro Statistics Book
Author : David Diez,Christopher Barr,Mine Çetinkaya-Rundel
Publisher : Unknown
Release : 2015-07-02
ISBN : 9781943450046
File Size : 22,8 Mb
Language : En, Es, Fr and De

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Book Summary :

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

Canada s Population

Canada s Population Book
Author : Statistics Canada
Publisher : Statistics Canada, Demography Division
Release : 1979
ISBN : 0987650XXX
File Size : 40,8 Mb
Language : En, Es, Fr and De

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Book Summary :

This publication discusses the population growth trends of this century.

The Canada Year Book

The Canada Year Book Book
Author : Anonim
Publisher : Unknown
Release : 1912
ISBN : 0987650XXX
File Size : 33,5 Mb
Language : En, Es, Fr and De

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Book Summary :

Download The Canada Year Book book written by and published by with total hardcover pages 512 . Available in PDF, EPUB, and Kindle, read book directly with any devices anywhere and anytime.

Indigenous Statistics

Indigenous Statistics Book
Author : Maggie Walter,Chris Andersen
Publisher : Routledge
Release : 2016-09-17
ISBN : 1315426552
File Size : 49,6 Mb
Language : En, Es, Fr and De

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Book Summary :

In the first book ever published on Indigenous quantitative methodologies, Maggie Walter and Chris Andersen open up a major new approach to research across the disciplines and applied fields. While qualitative methods have been rigorously critiqued and reformulated, the population statistics relied on by virtually all research on Indigenous peoples continue to be taken for granted as straightforward, transparent numbers. This book dismantles that persistent positivism with a forceful critique, then fills the void with a new paradigm for Indigenous quantitative methods, using concrete examples of research projects from First World Indigenous peoples in the United States, Australia, and Canada. Concise and accessible, it is an ideal supplementary text as well as a core component of the methodological toolkit for anyone conducting Indigenous research or using Indigenous population statistics.

All of Statistics

All of Statistics Book
Author : Larry Wasserman
Publisher : Springer Science & Business Media
Release : 2013-12-11
ISBN : 0387217363
File Size : 43,9 Mb
Language : En, Es, Fr and De

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Book Summary :

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.