Course Schedule (* Subject to Change of Date)

Week 1 (9/17): Introduction

• Agresti, Chapter 1.

Week 2 (9/24): Mid-Autumn Festival (No Class)

Week 3 (10/1)*: Measurement, Variable, and Sampling

• Agresti, Chapter 2.

Week 4 (10/8)*: Descriptive Analysis (I)

• Agresti, Chapter 3.1-3.3.

Week 5 (10/15): Descriptive Analysis (II)

• Agresti, Chapter 3.4-3.6.

• Taiwanese Core Political Attitude Trend, available at the website of the Election Study

Center, National Chengchi University https://esc.nccu.edu.tw/main.php

• First Assignment (due October 29)

Week 6 (10/22): Data Visualization

• Imai, Chapter 3.3.

• Schwabish, Jonathan A. 2014. “An Economist’s Guide to Visualizing Data.” Journal of

Economic Perspectives 28 (1): 209-234.

• The Economist’s Daily Charts, available at

https://www.economist.com/blogs/graphicdetail

• Second Assignment (due November 5)

Week 7 (10/29): Probability Distributions (I)

• Agresti, Chapter 4.1-4.3.

Week 8 (11/5): Probability Distributions (II )

• Agresti, Chapter 4.4-4.6.

• Third Assignment (due November 19)

 

Week 9 (11/12): Midterm Exam

• Students may use a calculator during the exam. However, they are not permitted to use

the calculator on their cell phones or other mobile electronic devices.

Week 10 (11/19): Estimation (I)

• Agresti, Chapter 5.1-5.3.

Week 11 (11/26): Estimation (II)

• Agresti, Chapter 5.4-5.5.

• Fourth Assignment (due December 10)

Week 12 (12/3): Hypothesis Testing (I)

• Agresti, Chapter 6.1-6.3.

Week 13 (12/10): Hypothesis Testing (II)

• Agresti, Chapter 6.4-6.5.

• Wasserstein, Ronald L. 2016. “ASA Statement on Statistical Significance and p-Values.”

The American Statistician 70(2): 131-133.

• Fifth Assignment (due December 24)

Week 14 (12/17): Comparison of Two Groups

• Agresti, Chapter 7.1-7.4.

Week 15 (12/24): Bivariate Correlation

• Agresti, Chapter 8.1-8.2.

• Imai, Chapter 3.6.

• Sixth Assignment (due January 7)

Week 16 (12/31)*: Adjusted Holiday

Week 17 (1/7): Student Presentation

Week 18 (1/14): Final Exam

• Students may use a calculator during the exam. However, they are not permitted to use

the calculator on their cell phones or other mobile electronic devices.

Pauline Joyce Gonzalvo

paulinejoycegonzalvo@gmail.com

• Homework (25%): There will be 6 assignments and each accounts for 5 points. The lowest

grade will be disregarded and the remaining 5 grades will be counted. While students can

discuss the assignments with others, they need to complete the assignments on their

own. Each assignment will be due two weeks after it is handed out. Please submit a hard

copy to the TA before the class begins. No late assignments will be accepted.

• Midterm Exam (25%): In-class exam (November 12). No make-up exam will be offered,

except for emergent reasons or other extenuating circumstances (with document proof).

• Final Exam (30%): In-class exam (January 14). No make-up exam will be offered, except

for emergent reasons or other extenuating circumstances (with document proof).

• Data Analysis Project (20%): Each student is required to conduct a data analysis project

and write a report of it (10%). In addition, he or she needs to present the results of this

project in the class (January 7)(10%). The written report is due at 11:59am on January 21

and should be sent directly to the instructor via email.

– Required:

• Agresti, Alan. 2018. Statistical Methods for the Social Sciences, 5th ed. UK: Pearson.

– Recommended:

• Acock, Alan C. 2018. A Gentle Introduction to Stata 6th ed. College Station: Stata Press.

• Imai, Kosuke. 2017. Quantitative Social Science: An Introduction. Princeton: Princeton

University Press.

• Moore, Will H., and David A. Siegel. 2013. A Mathematics Course for Political and Social

Research. Princeton: Princeton University Press.