Psychological Statistics (2)

Serial Number
68363
Course Number
Psy1014
Course Identifier
207 12302
No Class
3 Credits
Preallocated / Compulsory
DEPARTMENT OF PSYCHOLOGY / PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE
- DEPARTMENT OF PSYCHOLOGY
- PROGRAM OF NEUROBIOLOGY AND COGNITIVE SCIENCE
YUNG-FONG HSU
- View Courses Offered by Instructor
- COLLEGE OF SCIENCE DEPARTMENT OF PSYCHOLOGY
- yfhsu@ntu.edu.tw
- 心理系南館404室 (Office Hours: Thursdays 16:00-17:00)
- 02-33663114
Fri 2, 3, 4
北館視聽
Type 2
Add course with authorization code from the instructor
100 Student Quota
NTU 100
No Specialization Program
Chinese
NTU COOL
Core Capabilities and Curriculum Planning

Notes
Limits on Course Adding / Dropping
Prerequisite Course Information
Restriction: within this department (including students taking minor and dual degree program)
NTU Enrollment StatusNTU students only. Updated every five minutes during the course selection period.
Enrolled
0/100
Other Depts
0/0
Remaining
0
Registered
0
Course Description
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 probability, random variables and distributions, expectations and variances, sampling distributions, law of large numbers, central limit theorem, hypothesis testing (z, t, chi-square, etc.), analysis of variance, covariance and correlation, and linear regression. We will use R, a free software environment for statistical computing and graphics, for some of the homework problems. The weekly 實習課 led by TAs is mainly for teaching R and also for problem solving.
Course Objective
To acquaint you with the key concepts and principles of statistics.
Course Requirement
Expected weekly study hours after class
3 < E(study time in hours) < infinity
Office Hour
Designated Reading
Selected chapters/sections from “Modern Mathematical Statistics with Applications” (3rd edition) by Jay L. Devore, Kenneth N. Berk, Matthew A. Carlton (Other relevant topics from book chapters or papers will be uploaded to NTU COOL.)
References
N/A
Grading
40%
實習課 & HW assignments
20%
Exam 1
20%
Exam 2
20%
Final exam
Adjustment methods for students

Course Schedule

02/23Week 1	02/23	Class intro and review
03/01Week 2	03/01	Analysis of variance (I)
03/08Week 3	03/08	Analysis of variance (II)
03/15Week 4	03/15	Analysis of variance (III)
03/22Week 5	03/22	(Exam 1)
03/29Week 6	03/29	Exam 1 檢討; Covariance and correlation (I)
04/05Week 7	04/05	(Spring break)
04/12Week 8	04/12	Covariance and correlation (II)
04/19Week 9	04/19	The method of least squares
04/26Week 10	04/26	(Exam 2)
05/03Week 11	05/03	Simple regression
05/10Week 12	05/10	Exam 2 檢討
05/17Week 13	05/17	Multiple regression; 矩陣與迴歸(I)
05/24Week 14	05/24	矩陣與迴歸(II); Logistic regression; Other correlations
05/31Week 15	05/31	Nonparametric tests; Review
06/07Week 16	06/07	Final exam

40% 實習課 & HW assignments
20% Exam 1
20% Exam 2
20% Final exam