統計學
Statistics
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 統計學 HK114（六家） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
The purpose of this course is to offer a solid introduction to and integration of statistical thinking and statistical computing language R. Data have permeated every section of society. How to make sense of data and translate then into actionable insight is an indispensable ability for future world. Moreover, you will learn R for statistical analysis in step. Real world datasets from media industry will be used to foster your competence.
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無備註
注意!修課同學須於2/26-4/2共六週的週二晚上5:30-8:30上微課程R語言課程
Exam 1 20% Week 6 Exam 2 20% Week 12 Exam 3 20% Week 17 CT Data Science Hackathon 10% Week 18 Exercises 33% Weeks 2-5, 8-11, & 13-15 Research Participation 5%
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction & Overview Basic Concepts |
| 第 2 週 | Describing & Exploring Data |
| 第 3 週 | Sampling distribution & hypothesis testing |
| 第 4 週 | Probability |
| 第 5 週 | Categorical Data & Chi-Square |
| 第 6 週 | Exam 1 |
| 第 7 週 | Spring Recess! |
| 第 8 週 | Hypothesis tests applied to means |
| 第 9 週 | Power |
| 第 10 週 | Correlation & Regression |
| 第 11 週 | Alternative Correlational Techniques |
| 第 12 週 | Exam 2 |
| 第 13 週 | Simple Analysis of Variance |
| 第 14 週 | Multiple Comparisons Among Treatment Means |
| 第 15 週 | Factorial Analysis of Variance |
| 第 16 週 | Catch Up |
| 第 17 週 | Exam 3 |
| 第 18 週 | CT Data Science Hackathon |
Howell, D. C. (2017). Fundamental for the behavioral sciences (9th ed.). Belmont, CA: Wadsworth. Kabacoff, R. I. (2011). R in action: Data analysis and graphics with R. Shelter Island, NY: Manning.
- 地點
- HK134
- 時間
- Monday, Thursday: 12-13 pm and by appointment
- 聯絡方式
- Office: 31540 E-mail: taoc@mail.nctu.edu.tw