Description
Course Outline:
- Introduction to data
- Case Study 1: mean, variance, kurtosis, quantile-quantile plots, normal approximations
- Case study 2: survey methodology, simple random sampling, confidence intervals, bootstrap
- Case study 3: stratified sampling, parametric bootstrap, allocation
- Case study 4: estimation and testing, goodness of fit tests, information, asymptotic variance
- Case study 5: contingency tables, experimental design
- Case study 6: regression, prediction
Time Permissible:
• Case study 7: simple linear model, replicate measurements, transformations, inverse regression
• Case study 8: analysis of variance, unbalanced designs, indicator variables
- Introduction to data
- Case Study 1: mean, variance, kurtosis, quantile-quantile plots, normal approximations
- Case study 2: survey methodology, simple random sampling, confidence intervals, bootstrap
- Case study 3: stratified sampling, parametric bootstrap, allocation
- Case study 4: estimation and testing, goodness of fit tests, information, asymptotic variance
- Case study 5: contingency tables, experimental design
- Case study 6: regression, prediction
Time Permissible:
• Case study 7: simple linear model, replicate measurements, transformations, inverse regression
• Case study 8: analysis of variance, unbalanced designs, indicator variables
General Information
Class Blog
www.math189.edublogs.org
Name | Office Hours | |
---|---|---|
Dr. Jelena Bradic | When? Where? | |
Yiqing (Cynthia) Huang | When? Where? | |
Hanbo Li, Alexander | When? Where? |
Homework
Nothing has been added to the Homework section, yet. Stay tuned!
Homework Solutions
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