MATH 2342 1 - Statistical Methods IHybrid

Help

Course Information

Intro Statistics, Data Mining&Analy (MATH 2342)

Term: 2020-2021 Academic Year Spring

Faculty

Dr. Widodo Samyono
Dr. Widodo SamyonoShow MyInfo popup for Dr. Widodo Samyono
Email address is hidden, click here to email
Dr. Glendora Carter
Dr. Glendora CarterShow MyInfo popup for Dr. Glendora Carter
Email address is hidden, click here to email
Gregory L. Bosworth
Gregory L. BosworthShow MyInfo popup for Gregory L. Bosworth
Email address is hidden, click here to email
Email all faculty members

Schedule

Tue-Thu, 9:00 AM - 10:40 AM (1/19/2021 - 4/30/2021) Location: MAIN MEYER S-5

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