MATH 2342 1 - Statistical Methods I

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Course Information

Intro Statistics, Data Mining&Analy (MATH 2342)

Term: 2019-2020 Academic Year Online Summer Term II

Faculty

Benson Kariuki
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Office Hours

  • Start Date: August 10, 2020  8:00AM
  • End Date: Nov 20 2020 5:00PM
  • Remote Meeting: Live ZOOM Meeting on Tuesday, 1:00 PM
  • Other Teaching Platform:  Online
  • Telephone (903) 730-4890 Ext 2115
Dr. Moawia E Eldow
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Description

Students collect, organize, analyze, represent, and draw conclusions about data sets using various methods of analysis and a variety of software packages. Methods of analysis include central tendency, variability, probability distribution, correlation, regression, and hypothesis testing. The student experience will culminate in a data mining project that solves a real-world problem. Prerequisites: COSC 1300 and MATH 1314