課程名稱 |
心理及教育統計學上 Statistics in Psychology and Education (1) |
開課學期 |
105-1 |
授課對象 |
學程 神經生物與認知科學學程 |
授課教師 |
徐永豐 |
課號 |
Psy1003 |
課程識別碼 |
207 12001 |
班次 |
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學分 |
3 |
全/半年 |
全年 |
必/選修 |
必修 |
上課時間 |
星期二2(9:10~10:00)星期五3,4(10:20~12:10) |
上課地點 |
新102北館視聽 |
備註 |
有實習課,時間為每週三,五5(12:20-13:10)任選一時段。地點:北館視聽 限本系所學生(含輔系、雙修生) 總人數上限:120人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1051Psy1003_Hsu_2 |
課程簡介影片 |
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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 |
*** 請注意,本學期實習課訂於週三、五中午,第三週開始上 ***
The goal of this (one-year) course is to teach students the basic concepts of probability and statistics, and its applications in psychology. Topics include random variables and distributions, expectations and variances, sampling distributions, law of large numbers, central limit theorem, hypothesis testing, analysis of variance, covariance and correlation, and linear regression. We will also touch issues of power, confidence interval, multiple comparison, and goodness of fit. Some commonly-used tests, such as the chi-square test, t test, F test, and some non-parametric tests, will be introduced. We will use R for simulation and statistical analysis.
The (mandatory) weekly 實習課 is mainly for R and also for problem solving. It will count 20% of the final grade. There will be two midterms and one final (total 60% of the final grade). Also, there will be some homework assignments (total 20% of the final grade).
There are many resources/books on probability and statistics and R, including some on youtube and some pdf files that can be downloaded from the internet. In this course I will cover some of the chapters from the book “Statistical Methods for Psychology” by David Howell.
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課程目標 |
學習使用統計法來分析資料。本學期課程包括:認識基本統計名詞、描述統計、常態分配、t 分配、二項式分配、卡方分配、假設檢定、基本機率概念、卡方分析、平均數差異檢定、統計檢定力等。 |
課程要求 |
待補 |
預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
待補 |
參考書目 |
“Statistical Methods for Psychology” by David Howell |
評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Final exam |
20% |
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2. |
Midterm (I) |
20% |
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3. |
Midterm (II) |
20% |
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4. |
Homework |
20% |
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5. |
實習課 |
20% |
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週次 |
日期 |
單元主題 |
第1週 |
9/13,9/16 |
Intro to class |
第2週 |
9/20,9/23 |
Sample spaces, events |
第3週 |
9/27,9/30 |
(9/27 颱風假) Random variables, rules of probability, conditional probability |
第4週 |
10/04,10/07 |
Bayes theorem; Discrete and continuous distributions (i) |
第5週 |
10/11,10/14 |
Expectations and variances |
第6週 |
10/18,10/21 |
Discrete and continuous distributions (ii) (10/21 第一次期中考) |
第7週 |
10/25,10/28 |
Descriptive statistics |
第8週 |
11/01,11/04 |
Sampling distributions, law of large numbers, central limit theorem |
第9週 |
11/08,11/11 |
Concept of null hypothesis significance testing |
第10週 |
11/15,11/18 |
(11/15 本校校慶停課一天; 11/18 業界講者 talk - 講題未定) |
第11週 |
11/22,11/25 |
11/22 助教複習 (11/25 第二次期中考) |
第12週 |
11/29,12/02 |
Chi-square, t distributions |
第13週 |
12/06,12/09 |
Hypothesis tests applied to means; Confidence intervals |
第14週 |
12/13,12/16 |
Type I, type II errors, power, effect size |
第15週 |
12/20,12/23 |
Categorical data, goodness of fit |
第16週 |
12/27,12/30 |
Maximum likelihood & Likelihood ratio test |
第17週 |
1/03,1/06 |
(TBA) |
第18週 |
1/13 |
期末考 |
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