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In both science and industry today, the ability to collect and store data can outpace our ability to analyze it. Traditional techniques in statistics are often unable to cope with the size and complexity of today’s data bases and data warehouses. New methodologies in Statistics have recently been developed, designed to address these inadequacies, emphasizing visualization, exploration and empirical model building at the expense of traditional hypothesis testing. In this course we will examine these new techniques and apply them to a variety of real data sets.
Format: lecture; Hybrid format. Students cannot take both STAT 315 and STAT 442. Only one of the two can be taken for credit.
Grading: no pass/fail option,
no fifth course option
homework, exams and projects
STAT 346 or permission of instructor
Statistics majors, juniors and seniors. Students cannot take both STAT 315 and STAT 442. Only one of the two can be taken for credit.
This is an advanced statistics class involving theory and application of statistical methods to data.