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4434Research Methodology
http://www.merlot.org/merlot/viewMaterial.htm?id=838471
This course provides a study of research methodologies with appropriate practical application in relevant problem solving. Specific research types, including action research will be emphasized.Statistics II
http://www.merlot.org/merlot/viewMaterial.htm?id=733364
This is a free online course offered by the Saylor Foundation.'This course will introduce you to a number of statistical tools and techniques that are routinely used by modern statisticians for a wide variety of applications. First, we will review basic knowledge and skills that you learned in MA121: Introduction to Statistics. Units 2–5 will introduce you to new ways to design experiments and to test hypotheses, including multiple and nonlinear regression and nonparametric statistics. You will learn to apply these methods to building models to analyze complex, multivariate problems. You will also learn to write scripts to carry out these analyses in R, a powerful statistical programming language. The last unit is designed to give you a grand tour of several advanced topics in applied statistics.'Kredi Kartı Borcu Ödeme
http://www.merlot.org/merlot/viewMaterial.htm?id=724414
Kredi Kartı Borcu ödeme is your consultant for your credit card issues and credit card debt solutions.http://www.kredikartiborcu.infoStatistical Reasoning
http://www.merlot.org/merlot/viewMaterial.htm?id=691748
'Statistical Reasoning introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.We offer two versions of statistics, each with a different emphasis: Probability and Statistics and Statistical Reasoning. Each course includes all expository text, simulations, case studies, comprehension tests, interactive learning exercises, and the StatTutor labs. Each course contains all of the instructions for the four statistics packages options we support. To do the activities, you will need your own copy of Microsoft Excel, Minitab, the open source R software, TI calculator, or StatCrunch.One of the main differences between the courses is the path through probability; Statistical Reasoning places less emphasis on probability than does the Probability and Statistics course and takes an empirical approach.'Data Analysis Course at Academy for Decision Science Ahmedabad (ADSA)
http://www.merlot.org/merlot/viewMaterial.htm?id=628575
The Academy for Decision Science in Ahmedabad (ADSA) offers data analysis course; three months certificate course on data analytics.Introduction to Statistics
http://www.merlot.org/merlot/viewMaterial.htm?id=620148
This course covers descriptive statistics, the foundation of statistics, probability and random distributions, and the relationships between various characteristics of data. This free course may be completed online at any time. See course site for detailed overview and learning outcomes. (Computer Science 106; Mathematics 121; Economics 104; Biology 104)Introduction to Probability Theory
http://www.merlot.org/merlot/viewMaterial.htm?id=620156
In this course, the student will learn the basic terminology and concepts of probability theory, including sample size, random experiments, outcome spaces, discrete distribution, probability density function, expected values, and conditional probability. The course also delves into the fundamental properties of several special distributions, including binomial, geometric, normal, exponential, and Poisson distributions. This free course may be completed online at any time. See course site for detailed overview and learning outcomes. (Mathematics 252)Introduction to Statistics
http://www.merlot.org/merlot/viewMaterial.htm?id=603121
This free and open online course in Statistics was produced by the WA State Board for Community & Technical Colleges [http://sbctc.edu/].In this course, we will introduce some of the more common tool 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״. What is more challenging is the evaluation of what the results of a statistical procedure really mean, how reliable they are in given circumstances, and what their limitations are.This module is part of the Open Course Library, a collection of shareable course materials created for faculty to use in their classes. As part of the Open Course Library this content is licensed under the Creative Commons Attribution License which means that you are free to reuse the course in its entirety, edit it and use a your own modified version, or pick out only pieces which can be incorporated into your own course, as long as you credit the original author for their work.To access all materials for this course you may download either the ANGEL export file or the IMS Common Cartridge file. While the ANGEL file is specific to that system, the Common Cartridge file is compatible with many learning management systems. More information on Common Cartridge is available at http://www.imsglobal.org/cc/ .1.151 Probability and Statistics in Engineering
http://www.merlot.org/merlot/viewMaterial.htm?id=591557
This class covers quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, random processes, statistics, and decision analysis are covered, along with random variables and vectors, uncertainty propagation, conditional distributions, and second-moment analysis. System reliability is introduced. Other topics covered include Bayesian analysis and risk-based decision, estimation of distribution parameters, hypothesis testing, simple and multiple linear regressions, and Poisson and Markov processes. There is an emphasis placed on real-world applications to engineering problems.15.098 Special Seminar in Applied Probability and Stochastic Processes
http://www.merlot.org/merlot/viewMaterial.htm?id=555569
This seminar is intended for doctoral students and discusses topics in applied probability. This semester includes a variety of fields, namely statistical physics (local weak convergence and correlation decay), artificial intelligence (belief propagation algorithms), computer science (random K-SAT problem, coloring, average case complexity) and electrical engineering (low density parity check (LDPC) codes).