Regression and Analysis of Variance
University of Pennsylvania · PA · EDUC7667
Regression and Analysis of Variance is a subject at University of Pennsylvania, PA. It covers topics like applied-statistics, business-analytics, data-analysis, statistical-computing. It is part of 13 degrees. The information below is compiled from public course material — approximate, not official.
University of Pennsylvania
EDUC7667
3.00
Topics covered
Degrees that include Regression and Analysis of Variance
- Business Analytics, MBA
- Educational Leadership, EdD
- Education Policy, PhD
- Education Studies, MSEd
- Interdisciplinary Studies in Human Development, MSEd
- Learning Sciences & Technologies, MSEd
- Learning Sciences & Technologies, PhD
- Quantitative Methods, MPhilEd
- Quantitative Methods, PhD
- Statistics, Measurement, Assessment, and Research Technology, MSEd
- Teaching, Learning, and Leadership, MSEd
- Teaching, Learning, and Teacher Education, EdD
- Teaching, Learning, and Teacher Education, PhD
Frequently asked questions
What is Regression and Analysis of Variance about?
Regression and Analysis of Variance covers topics like applied-statistics, business-analytics, data-analysis, statistical-computing.
Which degrees include Regression and Analysis of Variance?
Regression and Analysis of Variance is part of 13 degrees, including Business Analytics, MBA, Educational Leadership, EdD, Education Policy, PhD, Education Studies, MSEd, Interdisciplinary Studies in Human Development, MSEd.
How many credit points is Regression and Analysis of Variance?
Regression and Analysis of Variance at University of Pennsylvania is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Regression and Analysis of Variance taught?
Regression and Analysis of Variance is taught at University of Pennsylvania, PA.
Studying Regression and Analysis of Variance?
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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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