Holiday
GEN III綜三 834 W5W6R4
Data in statistical studies are often collected by conducting either experiments or surveys. Statistical experimental design is the branch of statistics that deals with the design and analysis of experiments. The methods of experimental design are widely used in the fields of agriculture, medicine, biology, marketing research, and industry. In this course, the topics to be covered include: =548; basic principles and introduction to regression analysis =548; experiments with a single factor, analysis of variance, multiple comparison =548; experiments with more than one factor, blocking, Latin squares, analysis of variance and covariance, random effects models, other analysis techniques =548; factorial experiments at two levels, comparison with “one-factor-at-a-time” plans, analysis of location and dispersion, choice of optimal blocking schemes =548; fractional factorial experiments at two levels, maximum resolution and minimum aberration for choosing optimal desi
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
Average Percentage 85.81
Std. Deviation 5.33
本課程為 16 週課程
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