練習題

National Taiwan University

School and Graduate Institute of Physical Therapy

Course Syllabus in Applied Statistics / 2023

Course Number: lecture (428 U0200, 3 credit hours)                         

Course Name: Applied Statistics

Course Credit: 3 credit

Instructors: Jiu-jenq Lin (principal instructor), Huei-Ming Chai

                  Phone: 33668126           

E-mail: jiujlin@ntu.edu.tw

Year Level: Graduate students, no audit allowed.

Schedule & Place : Wednesday morning (8:10－11:00), Discussion room

Core ability:

Scientific inquiry and invention; Global vision

Course Description:

This course introduces the basic statistical methods including descriptive statistics, hypothesis testing, and analysis of variance applied in Physical Therapy research. Instead of statistical calculations, the focus is on the interpretation of the statistical results.

General Objectives of the Course:

After completing this course, the students would be able to

1.      understand the common statistical methods applied in Physical Therapy.

2.      independently calculate and interpret the results of statistical methods using SPSS or SAS programs.

3.      have the ability to apply statistical methods to evaluate the research articles. 

Contents:

Time

Topic

Instructor

9/6

Course Introduction

Jiu-jenq Lin

9/13

Descriptive statistics

Jiu-jenq Lin

9/20

Hypothesis testing I

Jiu-jenq Lin

9/27

Hypothesis testing II

Jiu-jenq Lin 2 articles due day

10/4

T-test

Jiu-jenq Lin

10/11

ANOVA I

Jiu-jenq Lin

10/18

ANOVA II

Jiu-jenq Lin

10/25

Mid-term Exam

Jiu-jenq Lin

11/1

RMANOVA I

Jiu-jenq Lin proposal due day

11/8

RMANOVA II

Jiu-jenq Lin

11/15

SAS Software I

Huei-Ming Chai

11/22

SAS Software II

Huei-Ming Chai

11/29

Student Presentation I

Jiu-jenq Lin, Huei-Ming Chai

12/6

Student Presentation II

Jiu-jenq Lin, Huei-Ming Chai

12/13

Student Presentation III

Jiu-jenq Lin, Huei-Ming Chai

12/20

Critique written reports due day2 and critiques due day

Jiu-jenq Lin

 

Textbooks and References

1. Portney LG. Foundations of Clinical Research: Applications to Evidence-Based Practice. 4th ed. F.A. Davis Company, 2020.

 2. Huck SW. Reading statistics and research. 6th ed. Addison Wesley Longman, Inc. 2011.

Grading System:

mid-term examination 40%, homework 20%, final report 30%, critique 10%