Statistical Moments Between Theory and Computational Applications Using MAPLE and R Programs
Abstract
There are many scientific topics that are far away from practical sides and limited to theatrical ones; that may be because of huge data, complicated hand computations requiring accurate results, and the human efforts may be unable to do it. Teaching statistics is suffering from that. Statistical moments are one of the topics that are listed in this context. This paper aimed to develop a practical method to teach statistics concerning describing data using statistical moments by employing the two technician programs, the Maple program (computer algebra system CAS) and the R program (interactive environment for statistical computing). The paper followed, presenting a theoretical view about the algebra of moments; practically, it is implementing two computational applications relating to using moments to describe data with a simplified and interesting method for both teachers and students.
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