Abstract
Statistics courses at most university campuses draw students from numerous departments. As a result, the mathematical backgrounds of the students vary widely. This places some students at an initial disadvantage as they have to do remedial math review. If a student falls behind in the beginning of a class, chances for failure in the course are greatly increased. If the instructor slows down the progress of the course to review basic material, the class in general will suffer. Retaking several years of math classes is usually not a viable option for students. To address this problem, we developed a series of Internet-based learning modules that can be adapted to fit various statistics courses and meet the learning needs of each student individually. These learning modules are interactive and are visual-based, utilizing color graphics and animation. The learning modules are available to anyone or to any course with Internet access.
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