課程資訊
課程名稱
統計方法
Statistics in Language Studies 
開課學期
108-1 
授課對象
學程  神經生物與認知科學學程  
授課教師
馮怡蓁 
課號
LING7008 
課程識別碼
142 M0220 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
第1,2,3,4,5,6,7,8,9,10,11,12,13,14 週
星期五2,3,4,5(9:10~13:10) 
上課地點
博雅308 
備註
本課程以英語授課。密集課程。9:30-13:10上課。
總人數上限:12人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1081LING7008_ 
課程簡介影片
 
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課程概述

待補 

課程目標
This course intends to provide an overview of statistics used in linguistic experiments. Topics covered include research ethics, problem identification and hypothesis formation, variable determination, hypothesis testing, external validity, and format in research report. 
課程要求
Grading
Your final grade for this course will be based on the total number of points you accumulate during the semester. There will be NO curving. You will be evaluated according to the following criteria:

Participation 5%
Quiz 5%
Lab 10%
Exam 1 15%
Exam 2 20%
Exam 3 25%
Project 20%

Participation
As many of you are already aware of how notorious this class is, it should be intuitive to you that classroom participation is the key to the success of this course. Please help me make this course better by giving me your input in class and also outside the classroom. I would really appreciate it if you could all actively participate in classroom activities and discussions.

Quizzes
Except for the first week, quizzes will be administered at the beginning of each meeting session and will cover the required reading texts for that session, which I will assume that you have already read prior to class meetings. Please do not be excessively anxious about the quizzes, as they are meant to be simple checks for common basis, rather than detailed exams. They will be graded as pass/fail only and the passing grade is 70%. There will be no make-up quizzes, as we will go over them right afterwards.

Lab
The lab is designed to reinforce the material covered in the lecture portion. Through labwork, you will begin to apply the statistical methods you learn in lectures. You will also be introduced to the computer program R. Lab is intended to give you the opportunity to bring up any questions about the material covered in the reading, homework, or lectures.

Exams
There are three exams in total. No make-up exams can be given except in the case of death in the family or dire documented medical emergencies. Any other reasons for a make-up exam would only be possible if prior consent from the instructor is obtained. All exams are non-cumulative. Please view exams only as a way to help me assess how well we have been doing.

Course project
You are required to turn in a set of statistical analyses on your research project. The project does not have to be fully completed, but the data have to be authentic. You are required to apply what we have covered in class and select appropriate analyses for your data. You will be given a 20-min presentation time slot on 1/3 for oral report—12 min for the actual presentation itself, and 3 min for questions and answers (The actual time slot may be subject to change according to class size). During this time-slot, you are to defend the statistical analyses you choose and highlight whatever significant findings you have found in your study. You can use whatever media you please but the style of presentation should be formal. You will be graded on both your presentation skills and audience responses, in addition to the content. The written report is due on 1/10 , Thursday, at 5:00p. 10% of the
grades will be deducted for each late day. It should be no more than a 10-paged, double-spaced, polished report incorporating the comments you have gathered in the presentation. The report should follow a formal format, and should include appropriate graphs, statistical details, and adequate interpretations.

A note on collaboration
Students often find it helpful to form study groups with classmates to discuss the reading and exercises each week. The course instructor encourages such cooperative study habits.
However, each student must work independently in writing up all homework assignments, lab, and the project report. 
Office Hours
另約時間 
參考書目
 
指定閱讀
Pagano, R. R. 2013. Understanding Statistics in the Behavioral Sciences. Wadsworth Publishing. 10th edition. (Available at 雙葉書廊 TEL: 2368-4198, Address: 台北市羅斯福路三段269巷12號1樓) 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第2週
9/20  Introduction (syllabus如附檔) Statistics and scientific method Basic mathematical and measurement concepts / Ch1-2 
第3週
9/27  Frequency distribution Measures of central tendency and variability The normal curve and standard scores / Ch3-5 
第4週
10/04  Correlation Linear regression / Ch6-7 *Note time change: 9:20-13:00 
第5週
10/11  Bridge holiday — No class! 
第6週
10/18  Exam 1 (Ch1-7) Random sampling and probability Binomial distribution / Ch8-9 
第7週
10/25  Hypothesis testing using the sign test Power Sampling distributions and sampling distribution of the mean z test / Ch10-12 
第8週
11/01  Single sample t test Independent t test and paired t -test / Ch13-14 
第9週
11/08  Exam 2 (Ch8-12) One-way ANOVA / Ch15 
第10週
11/15  University’s Anniversary — No class! 
第11週
11/22  Two-way ANOVA Chi-square and other nonparametric tests / Ch16-18 
第12週
11/28-29  First NTU+FC workshop 
第13週
12/06  Exam 3 (Ch13-18) Note time change: 10:30-12:20 
第14週
12/13  Project 
第15週
12/20  Project 
第16週
12/27  Project 
第17週
1/03  CP: Presentation 
第18週
01/10  CP: Final Report