This course helps students to connect the statistical theory they have studied in their undergraduate program with reality through case-studies and data analysis representing in-depth investigations into the day-to-day practice of statistics. The course provides a hands-on approach with regular data-analysis laboratories and oral/written presentation of results by students. The course examines the role of hypothesis testing, estimation, power, regression, categorical data in practice using both SAS and R. Prerequisite: SC/MATH 3131 3.00, SC/MATH 3330 3.00, SC/MATH 4330 3.00.
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