Weekly outline
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【瀏覽課程大綱Syllabus】【列印Print】
- General
- 1. 12 September - 18 September
The Science of Statistics, Types of Data, and Statistical Thinking
- 2. 19 September - 25 September
Methods for Describing Data Sets, Variation, SD, Outliers, Box Plots
- 3. 26 September - 2 October
Probability Theory, Conditional Probability, Bayes’s Rule
- 4. 3 October - 9 October
Random Variables and Probability Distributions (Binomial, Poisson, Uniform, Hypergeometric, Normal, Standard Normal, Exponential, etc.)
- 5. 10 October - 16 October
Sampling & Distributions, Unbiased & Mini. Variance, the Central Limit Theorem
- 6. 17 October - 23 October
Inferences Based on a Single Sample: Estimation with Confidence Intervals
- 7. 24 October - 30 October
Inferences Based on a Single Sample: Tests of Hypotheses( T-test)
- 8. 31 October - 6 November
Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
- 9. 7 November - 13 November
Midterm Exam & Personal Reports
- 10. 14 November - 20 November
Design of Experiments(CRD, RBD) and Analysis of Variance (ANCOVA, MANOVA)
- 11. 21 November - 27 November
Categorical Data Analysis( Cross Table, Chi-Square test, McNemar)
- 12. 28 November - 4 December
Factorial Factor Design, RMS (Response Surface Methodology)
- 13. 5 December - 11 December
Simple Linear Regression, Logistic Regression
Multiple Regression, Hierarchical Regression
- 14. 12 December - 18 December
Model Building In Multiple Regression, Mediation & Moderation
- 15. 19 December - 25 December
Methods of Quality Improvement: Statistical Process Control
- 16. 26 December - 1 January
Time Series: Descriptive Analyses, Models, and Forecasting
- 17. 2 January - 8 January
- 18. 9 January - 15 January
Final Exam & Personal Reports