Score: 1
From 1 Ratings

## Introductory Statistics

• Author : Barbara Illowsky
• Publisher : Unknown
• Release Date : 2017-12-19
• Genre: Education
• Pages : 906
• ISBN 10 : 9888407309

Introductory Statistics Excerpt :

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

Score: 4
From 30 Ratings

## How to Lie with Statistics

• Author : Darrell Huff
• Publisher : W. W. Norton & Company
• Release Date : 2010-12-07
• Genre: Mathematics
• Pages : 144
• ISBN 10 : 9780393070873

How to Lie with Statistics Excerpt :

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.

## OpenIntro Statistics

• Author : David Diez
• Publisher : Unknown
• Release Date : 2015-07-02
• Genre: Uncategoriezed
• Pages : null
• ISBN 10 : 1943450048

OpenIntro Statistics Excerpt :

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.

## The Book of R

• Author : Tilman M. Davies
• Publisher : No Starch Press
• Release Date : 2016-07-16
• Genre: Computers
• Pages : 832
• ISBN 10 : 9781593277796

The Book of R Excerpt :

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.

• Author : Anonim
• Publisher : Unknown
• Release Date : 1912
• Pages : 512
• ISBN 10 : UCBK:C070906748

The Canada Year Book Excerpt :

Score: 4
From 1 Ratings

## All of Statistics

• Author : Larry Wasserman
• Publisher : Springer Science & Business Media
• Release Date : 2013-12-11
• Genre: Mathematics
• Pages : 442
• ISBN 10 : 9780387217369

All of Statistics Excerpt :

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.

## Indigenous Statistics

• Author : Maggie Walter
• Publisher : Routledge
• Release Date : 2016-09-17
• Genre: Social Science
• Pages : 159
• ISBN 10 : 9781315426556

Indigenous Statistics Excerpt :

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.

## Statistics in a Nutshell

• Author : Sarah Boslaugh
• Publisher : "O'Reilly Media, Inc."
• Release Date : 2012-11-15
• Genre: Mathematics
• Pages : 595
• ISBN 10 : 9781449316822

Statistics in a Nutshell Excerpt :

A clear and concise introduction and reference for anyone new to the subject of statistics.

Score: 4
From 12 Ratings

## Naked Statistics Stripping the Dread from the Data

• Author : Charles Wheelan
• Publisher : W. W. Norton & Company
• Release Date : 2013-01-07
• Genre: Mathematics
• Pages : 302
• ISBN 10 : 9780393089820

Naked Statistics Stripping the Dread from the Data Excerpt :

“Brilliant, funny . . . the best math teacher you never had.”—San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

## Statistical Rethinking

• Author : Richard McElreath
• Publisher : CRC Press
• Release Date : 2018-01-03
• Genre: Mathematics
• Pages : 488
• ISBN 10 : 9781315362618

Statistical Rethinking Excerpt :

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

## Modern Statistics for Modern Biology

• Author : SUSAN. HUBER HOLMES (WOLFGANG.)
• Publisher : Cambridge University Press
• Release Date : 2018
• Genre: Uncategoriezed
• Pages : 407
• ISBN 10 : 9781108427029

Modern Statistics for Modern Biology Excerpt :

## Scrumptious Statistics

• Author : Lisa Arias
• Publisher : Carson-Dellosa Publishing
• Release Date : 2014-08-01
• Genre: Juvenile Nonfiction
• Pages : 32
• ISBN 10 : 9781627179577

Scrumptious Statistics Excerpt :

This delicious book will have students eating up all the information presented. With rhyming text, step by step guidance, and sample problems, students will gobble up this mathematical treat! This book will allow students to develop understanding of statistical variability and summarize and describe distributions.

• Publisher : Statistics Canada, Demography Division
• Release Date : 1979
• Pages : 40
• ISBN 10 : CORNELL:31924050755937

This publication discusses the population growth trends of this century.

• Author : Ronald M. Weiers
• Publisher : South Western Educational Publishing
• Release Date : 2008
• Genre: Commercial statistics
• Pages : 853
• ISBN 10 : 0324381441

Introduction to Business Statistics Excerpt :

Highly praised for its clarity and great examples, Weiers' INTRODUCTION TO BUSINESS STATISTICS, 6E introduces fundamental statistical concepts in a conversational language that connects with today's students. Even those intimidated by statistics quickly discover success with the book's proven learning aids, outstanding illustrations, non-technical terminology, and hundreds of current examples drawn from real-life experiences familiar to students. A continuing case and contemporary applications combine with more than 100 new or revised exercises and problems that reflect the latest changes in business today with an accuracy you can trust. You can easily introduce today's leading statistical software and teach not only how to complete calculations by hand and using Excel, but also how to determine which method is best for a particular task. The book's student-oriented approach is supported with a wealth of resources, including the innovative new CengageNOW online course management and learning system that saves you time while helping students master the statistical skills most important for business success.

## Guide to Foreign Trade Statistics

• Author : United States. Bureau of the Census
• Publisher : Unknown
• Release Date : 1983
• Genre: United States
• Pages : null
• ISBN 10 : OSU:32435061882817

Guide to Foreign Trade Statistics Excerpt :