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STT 213 Elements Of Probability & Mathematical Statistics

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This STT 213 Elements Of Probability & Mathematical Statistics course introduces statistical methods with a focus on probability and the statistical theory behind the parameter estimation and hypothesis testing. In this course, students are introduced to essential data mining, graphical display of generalized data, axioms of probability, distribution and related theory, parameter estimation, and statistical inference. Other topics include linear correlation and regression analysis. Students will use statistical software such as R/RStudio to perform calculations.

Modern probability theory is an exciting and essential part of classical mathematics (geometry, mathematical analysis, functional analysis) and its various components (stochastic process theory, ergodicity), Dynamical system theory, mathematical statistics, etc.). The related to statistical mechanics, statistical physics, statistical radio engineering, and complex system problems considering the effects of randomness and chaos.

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List of relevant courses, in which professionals of ExpertsMinds provides online assistance:

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  • STT 211 Statistical Literacy and Applied Methodology Assignment Help
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  • STT 219 Nonparametric Inference Assignment Help
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