Seeing Theory - Probability and statistics

Online Statistics Education: A Free Resource for Introductory Statistics Developed by Rice University (Lead Developer), University of Houston Clear Lake, and Tufts University OnlineStatBook Project Home This work is in the public domain. Therefore, it can be copied and reproduced without limitation. FoamTree: addictively interactive Voronoi treemap What are the requirements of FoamTree? FoamTree requires JavaScript and HTML5 canvas support. It will work on any major browser, including Chrome, Firefox, IE10+, Edge and Safari. Will FoamTree run on mobile devices? Yes, FoamTree will run on Android and iOS phones and tablets. Touch-enabled laptops are also supported.

Introduction to Probability - Open Textbook Library This text provides very good coverage of the essential topics for an introductory probability course in addition to its coverage of topics that I’m sure are left out of some introductory courses such as Markov processes and generating functions. The strength of this book in my view (which is from an engineering perspective) is that it approaches topics in a very natural way, using practical examples, simple graphics, and discussion of computer simulation when introducing topics. It does not seem to burden the reader with statistical jargon or needlessly deep discussions of theory, but it does not give the impression that it is trying to avoid these things either. In my opinion, the book omits all the right things, including most of the tables found in introductory probability and statistics texts.

MATH 146 – Introduction to Statistics In this course, we will introduce some of the more common tools for analyzing data of several types. We are not aiming at introducing all or even most of them. The main goal of the course is to highlight the general assumptions and methods that underlie all statistical analysis. The purpose is to get a good understanding of the scope, and the limitations of these methods. We also want to learn as much as possible about the assumptions behind the most common methods, in order to evaluate if they apply with reasonable accuracy to a given situation. Our goal is not so much learning bread and butter techniques: these are pre-programmed in widely available and used software, so much so that a mechanical acquisition of these techniques could be quickly done “”on the job””.

Free Sankey Diagrams <svg id="sankey_svg" height="600" width="600" xmlns=" version="1.1"><title>Your Diagram Title</title><! Copy the code above to embed your diagram. Save it in a “.svg” file to edit it in another application. Every Flow will have a tooltip when hovering. List of poker hands An ace-high straight flush, commonly known as a royal flush, is the best hand possible in some variants of poker. Each hand falls into a category determined by the patterns formed by its cards. Hands in a higher-ranking category always rank higher than hands in a lower-ranking category. Hands in the same category are ranked relative to each other by comparing the ranks of their respective cards.[5] Suits are not ranked in poker, so hands in the same category that differ by suit alone are of equal rank (e.g. J♦ 8♦ 5♦ 3♦ 2♦ has the same rank as J♣ 8♣ 5♣ 3♣ 2♣).[6] Cards in poker are ranked, from highest to lowest: A, K, Q, J, 10, 9, 8, 7, 6, 5, 4, 3 and 2.[7] However, aces have the lowest rank under high rules when forming part of a five-high straight or straight flush, such as 5♥ 4♦ 3♣ 2♣ A♠ or 5♣ 4♣ 3♣ 2♣ A♣, or when playing ace-to-five low or ace-to-six low rules.[8][9]

50 Great Examples of Data Visualization Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music.