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Learn Statistics On-Line with Instructor Feedback
Three New On-Line Courses from Statistics.Com
Introduction to Resampling Methods March 8 - April 2, 2004 introduces the basic concepts and methods of statistics via resampling methods. Participants will learn to use R or Resampling Stats to do interval estimation, one-, two- and k-sample comparisons, correlation, and a number of other most-powerful unbiased statistical procedures. The goal of the course is to give participants the confidence and tools necessary for the practice of resampling methods in their own research and in interpreting the research of others. Software is provided. (Level: Intermediate.) http://statistics.com/content/course...ing/index.html Avoiding Common Errors in Statistics March 15 - April 9, 2004 provides everything you need to know to avoid blunders in the design and analysis of your experiments, in modeling, and in your reports. Analysts, researchers, students, managers and anyone else who must write up the results of statistical studies will find this course invaluable. The instructor's prescriptive approach includes checklists and recommendations for data collection, formulating testable hypotheses, determining sample size, minimizing losses, validating assumptions, recognizing and reporting biases, and building, testing, and validating models. (Level: Intermediate.) http://statistics.com/content/courses/errors/index.html Introduction to Statistics Through Applications April 13 - May 7, 2004 introduces the basic concepts and methods of statistics. Participants will do a series of graded exercises over a four-week period using Excel or R as they gather, summarize, analyze, and interpret data. Topics include probability, sampling, estimation, hypothesis testing, and the basics of experiment and survey design. (Level: Beginning.) http://statistics.com/content/course...ats/index.html All courses include four weekly lessons, feedback on assignments, and bulletin-board discussions with your instructor and fellow students. |
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