Think Stats

Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 9781491907375
Size: 14.91 MB
Format: PDF
View: 96

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

The Joy Of Stats

Author: Roberta Garner
Publisher: University of Toronto Press
ISBN: 9781442601888
Size: 18.82 MB
Format: PDF, ePub, Docs
View: 62

"This is a great book for social science students. Clearly written, with many examples, Garner certainly makes learning and teaching introductory statistics a joy!" - Nikolaos Liodakis, Wilfrid Laurier University

Sandlot Stats

Author: Stanley Rothman
Publisher: JHU Press
ISBN: 9781421408675
Size: 14.69 MB
Format: PDF, Docs
View: 30

As Derek Jeter strolls toward the plate, the announcer tosses out a smattering of statistics—from hitting streaks to batting averages. But what do the numbers mean? And how can America’s favorite pastime be a model for learning about statistics? Sandlot Stats is an innovative textbook that explains the mathematical underpinnings of baseball so that students can understand the world of statistics and probability. Carefully illustrated and filled with exercises and examples, this book teaches the fundamentals of probability and statistics through the feats of baseball legends such as Hank Aaron, Joe DiMaggio, and Ted Williams—and more recent players such as Barry Bonds, Albert Pujols, and Alex Rodriguez. Exercises require only pen-and-paper or Microsoft Excel to perform the analyses. Sandlot Stats covers all the bases, including• descriptive and inferential statistics• linear regression and correlation• probability• sports betting• probability distribution functions• sampling distributions• hypothesis testing• confidence intervals• chi-square distribution Sandlot Stats offers information covered in most introductory statistics books, yet is peppered with interesting facts from the history of baseball to enhance the interest of the student and make learning fun. -- Harvey Frommer

Stats

Author: Richard D. De Veaux
Publisher: Pearson College Division
ISBN: 0321692551
Size: 13.93 MB
Format: PDF, ePub
View: 67

Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.

Serious Stats

Author: Thomas Baguley
Publisher: Palgrave Macmillan
ISBN: 9780230363557
Size: 13.55 MB
Format: PDF, ePub
View: 89

Ideal for experienced students and researchers in the social sciences who wish to refresh or extend their understanding of statistics, and to apply advanced statistical procedures using SPSS or R. Key theory is reviewed and illustrated with examples of how to apply these concepts using real data.

Stats With Cats

Author: Charles Kufs
Publisher: Wheatmark, Inc.
ISBN: 9781604944723
Size: 16.33 MB
Format: PDF, Mobi
View: 12

When you took statistics in school, your instructor gave you specially prepared datasets, told you what analyses to perform, and checked your work to see if it was correct. Once you left the class, though, you were on your own. Did you know how to create and prepare a dataset for analysis? Did you know how to select and generate appropriate graphics and statistics? Did you wonder why you were forced to take the class and when you would ever use what you learned? That's where "Stats with Cats" can help you out. The book will show you: How to decide what you should put in your dataset and how to arrange the data.How to decide what graphs and statistics to produce for your data.How you can create a statistical model to answer your data analysis questions. The book also provides enough feline support to minimize any stress you may experience. Charles Kufs has been crunching numbers for over thirty years, first as a hydrogeologist, and since the 1990s as a statistician. He is certified as a Six Sigma Green Belt by the American Society for Quality. He currently works as a statistician for the federal government and he is here to help you.

Signal Transducers And Activators Of Transcription Stats

Author: P. Sehgal
Publisher: Springer Science & Business Media
ISBN: 9789401730006
Size: 12.92 MB
Format: PDF, ePub, Docs
View: 81

The only fully comprehensive reference for STAT proteins and their biology, this book describes the current state of ongoing research in this broad area, and looks toward the future to try to predict the discoveries that lie ahead.