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We will describe the philosophy, design, implementation and utilization of the Statistical Online Computational Resource (SOCR) for undergraduate and graduate education. Classical Probability and statistics instruction can be significantly enhanced by employing interactive, contemporary, computational, visualizational and graphical tools, in.
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The right tail area is given in the name of the table. For example, to determine the .05 critical value for an F distribution with 10 and 12 degrees of freedom, look in the 10 column (numerator) and 12 row (denominator) of the F Table for alpha=.05. F (.05, 10, 12) = 2.7534.
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SOCR Concepts & Methods Printed SOCR Books Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics Dinov, ID and Velev, MV (2021) Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics, De Gruyter STEM Series, Berlin/Boston, ISBN 9783110697803 / 3110697807; spacekime.org .
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Specifically, SOCR provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, efficient algorithms for data analytics, computational and graphing tools, instructional and course materials.
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The SOCR Resources are developed by joint efforts of faculty, researchers and students from various UCLA departments and centers: Statistics, Computer Science, Neurology, Biomedical Engineering, the Laboratory of Neuro Imaging and the Center for Computational Biology.
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SOCR Users . There are three major types of SOCR users: educators, students and tool developers. Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty.
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df : α = 0.1: 0.05: 0.025: 0.01: 0.005: 0.001: 0.0005: ∞: t α =1.282: 1.645: 1.960: 2.326: 2.576: 3.091: 3.291: 1: 3.078: 6.314: 12.706: 31.821: 63.656: 318.289:.
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Simulated data The SOCR resources provide a number of mechanisms to simulate data using computer random-number generators. Here are some of the most commonly used SOCR generators of simulated data: SOCR Experiments - each experiment reports random outcomes, sample and population distributions and summary statistics.
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11.1 What is SOCR? 11.2 What does this web-app Do? 11.3 How to generate random samples? 11.4 How can I use the SOCR resampling and randomization app? 11.5 How can be a part of the developer community? 11.6 Where and how can I ask questions or share experiences? 11.7 What is the license that this app carries? 11.8 What is this share instance button?
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Statistics Online Computational Resource. Probability & Statistics Instructor Resources →: SOCR Instructor Plan: SOCR Code Documentation →: Complete SOCR resource Java Documentation Developer's Guide (MS thesis by D. Krishnamurthy): SOCR Code Organization →: SOCR resource UML Diagrams:
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Interactive SOCR Resource Viewer; SOCR Documentation; SOCR Blog; SOCR Educational Materials; SOCR News, Events and Announcements; SOCR Collaborators and Partners; SOCR Projects; SOCR Videos; SOCR Forum; SOCR Servers and Mirror Sites
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SOCR Modeler. 1. Polynomial Fit 2. Beta Fit. SOCR Charts. 1. Pie Chart 2. LineCharts → QQChartDemo1 3. LineCharts → StatisticalLineChartDemo2. Additional Resources. 1. Precise Distribution Calculators 2. Tables for most common Distributions 3. Function Graphing Tools 4. Normal Approximation to Poisson Applet
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The goals of the SOCR Resource are to design, validate and freely disseminate knowledge. Our Resource specifically provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, computational and graphing tools.
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SOCR Books: This is a General Statistics Curriculum E-Book, which includes Advanced-Placement (AP) materials. EBook Contents [ hide] 1 Preface 1.1 Format 1.2 Learning and Instructional Usage 1.3 Copyrights 2 Chapter I: Introduction to Statistics 2.1 The Nature of Data and Variation 2.2 Uses and Abuses of Statistics 2.3 Design of Experiments
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HTML5 JavaScript Hierarchical Viewer: HTML5 JavaScript Tree Viewer: Java Hyperbolic Viewer: SOCR Resource Visitor number , since Jan. 01, 2002 Visitor number , since Jan. 01, 2002
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You can also see the lists of the currently available SOCR Applets here: Distribution , Experiments , Analyses , Modeler , Games , Charts, and their corresponding activities here. Statistics Online Computational Resource.