課程資訊
課程名稱
 統計方法
Statistics in Language Studies 
開課學期
 109-1 
授課對象
 文學院  語言學研究所  
授課教師
 馮怡蓁 
課號
 LING7008 
課程識別碼
 142EM0220 
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 週
星期二7,8(14:20~16:20)星期五2,3(9:10~11:10) 
上課地點
 樂學館305樂學館305 
備註
 本課程以英語授課。密集課程。上課時間：二14:00-16:00、五9:20-11:10上課。
總人數上限：12人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1091LING7008_stats 
課程簡介影片
 
核心能力關聯
 核心能力與課程規劃關聯圖
課程大綱
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課程概述

This course intends to provide an overview of statistics used in linguistic experiments. It is designed for students who have never taken college-level statistics before. Students who wish to attend higher level statistics courses should take statistics in the psychology department instead. Topics covered include research ethics, problem identification and hypothesis formation, variable determination, hypothesis testing (z-test, t-test, correlation, regression, ANOVA, chi-square, and some nonparametric tests), external validity, and format in research reports. 

課程目標
 To provides students with enough statistic knowledge to interpret the outcome in the literature and carry out statistical analyses in their own research. 
課程要求
 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 10%
Lab 10%
Exam 1 15%
Exam 2 20%
Exam 3 25%
Project 20% 
預期每週課後學習時數
  
Office Hours
 另約時間 
指定閱讀
 Rumsey, D. 2011. Statistics for Dummies. 2nd Edition. Wiley Publishing.
Rumsey, D. 2009. Statistics II for Dummies. Wiley Publishing. 
參考書目
 待補 
評量方式
(僅供參考)
  
No.
項目
百分比
說明
1. 
 Participation 
10% 
 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. 
2. 
 Lab 
10% 
 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 and lectures. 
3. 
 Exam 1 
15% 
 There are three noncumulative 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. 
4. 
 Exam 2 
20% 
 There are three noncumulative 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. 
5. 
 Exam 3 
25% 
 There are three noncumulative 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. 
6. 
 Project 
20% 
 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 1/5 for oral report. During this time, 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 1/12, 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. 
7. 
 Collaboration 
0% 
 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 the project report. 
 
課程進度
週次
日期
單元主題
第1週
 9/15,9/18  Tuesday Introduction
Friday Scientific method, jargons (I:1-4, 21) 
第2週
 9/22,9/25  Tuesday Descriptive statistics (1:5)
Friday Graphing techniques (1:6-7) 
第3週
 9/29,10/02  Tuesday Probability distribution (1:8-10)
Friday Bridge Holiday 
第4週
 10/06,10/09  Tuesday Sampling distribution (1-11)
Friday Bridge Holiday 
第5週
 10/13,10/16  Tuesday Sampling variability (1-12, 1-13)
Friday ISTLT-13 - No class 
第6週
 10/20,10/23  Tuesday Exam 1
Friday Hypothesis testing (1-14) 
第7週
 10/27,10/30  Tuesday Hypothesis testing (1-15, 2-3)
Friday Research design (1-16, 1-17) 
第8週
 11/03,11/06  Tuesday Correlation & simple regression (1-18, 2-4)
Friday Google holiday 
第9週
 11/10,11/13  Tuesday Multiple regression & model selection (2-5, 2-6)
Friday Nonlinear & Logistic regression (2-7, 2-8) 
第10週
 11/17,11/20  Tuesday Exam 2
Friday Sports meet 
第11週
 11/24,11/27  Tuesday One-way ANOVA (2-9)
Friday Multiple comparisons (2-10) 
第12週
 12/01,12/04  Tuesday Two-way ANOVA (2-11, 2-12)
Friday Chi-square (1-19, 2-13, 2-14, 2-15) 
第13週
 12/08,12/11  Tuesday Nonparametric tests (2-16, 2-17, 2-18, 2-19, 2-20)
Friday Exam 3 
第14週
 12/15,12/18  Tuesday Project
Friday Project 
第15週
 12/22,12/25  Tuesday Project
Friday Project 
第16週
 12/29,1/01  Tuesday Project
Friday New Year Day 
第17週
 1/05,1/08  Tuesday CP: Presentation 
第18週
 1/12,1/15  Tuesday CP: Final report