課程名稱 |
心理及教育統計學上 Statistics in Psychology and Education (1) |
開課學期 |
111-1 |
授課對象 |
心理學系 |
授課教師 |
彭昭英 |
課號 |
Psy1003 |
課程識別碼 |
207E12001 |
班次 |
02 |
學分 |
3.0 |
全/半年 |
全年 |
必/選修 |
選修 |
上課時間 |
星期四6,7,8(13:20~16:20) |
上課地點 |
北館B |
備註 |
本課程以英語授課。 總人數上限:35人 |
|
|
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
|
為確保您我的權利,請尊重智慧財產權及不得非法影印
|
課程概述 |
This is the first course, in a two-semester course series, designed primarily for undergraduate psychology majors or minors who anticipate future applications of statistical methods. Topics covered in this course include an overview of descriptive statistics, foundational concepts in inferential statistics (probability, population, sample, sampling methods, sampling distributions, estimation of population parameters, binomial and normal distributions), hypothesis significance testing (Type I and II errors, statistical power), and comparisons of means (t-test, one-way analysis of variance, multiple comparisons of means, effect size). Prerequisite of this course is a mastery of algebra and analytical geometry at the high-school level. |
課程目標 |
1. To acquire basic skills necessary for applying statistical principles of inference to well-defined
psychological research;
2. To enhance statistical thinking, reasoning, literacy, attitudes, and beliefs;
3. To be able to critically evaluate manuscripts in which statistical techniques covered in this course
were applied; and
4. To carry out numerical analyses of data by a hand-held calculator (e.g., Casio fx-260) or by IBM SPSS.
|
課程要求 |
Prerequisite of this course is a mastery of algebra and analytical geometry at the high-school level. |
預期每週課後學習時數 |
16 hours per week |
Office Hours |
每週四 16:30~17:30 備註: This instructor (peng.cyj@gmail.com) is available immediately after each class on Thursdays in Psychology South Classroom B (in the basement) |
指定閱讀 |
Howell, D. C. (2017). Fundamental statistics for the behavioral sciences (9th ed.,), Cengage Learning.
https://www.uvm.edu/~statdhtx/fundamentals9/index.html (on reserve in the NTU main library)
***Lecture notes available from course site on NTU COOL.
|
參考書目 |
Howell, D. C. (2013). Statistical methods for psychology (8th ed.,), Wadsworth, Cengage Learning.
https://www.uvm.edu/~statdhtx/methods8/ (on reserve in the NTU main library)
|
評量方式 (僅供參考) |
|
週次 |
日期 |
單元主題 |
Week 1 |
9/8/2022 |
Orientation to the course
Video on “Applications of Statistics”
Lecture #1 What is statistics? Do you need to learn statistics? |
Week 2 |
9/15/2022 |
Lecture #2 Displaying Data and Three Measures of Central Tendency (Mode, Median, Mean) |
Week 3 |
9/22/2022 |
Lecture #3 Five Measures of variability, Skewness, and Kurtosis |
Week 4 |
9/29/2022 |
Lecture #4 Describing Distributions: ogive, quartile, percentile, percentile rank, the Box plot |
Week 5 |
10/6/2022 |
Lecture #5 Basic Concepts of Probability |
Week 6 |
10/13/2022 |
✔ Inclass Exam I |
Week 7 |
10/20/2022 |
Lecture #6 Permutation, combination, random variable, Binomial distribution as a sampling distribution |
Week 8 |
10/27/2022 |
Lecture #7 Normal distribution as a sampling distribution, standardized scores, central limit theorem |
Week 9 |
11/3/2022 |
Lecture #8 Hypothesis testing and estimation of a population mean using z statistic |
Week 10 |
11/10/2022 |
Lecture #9 Hypothesis testing and estimation of a population mean using t statistic |
Week 11 |
11/17/2022 |
✔ In-class Exam II |
Week 12 |
11/24/2022 |
Lecture #10 Hypothesis testing and estimation of related and independent population means using t statistic |
Week 13 |
12/1/2022 |
Lecture #11 Type I & II errors, statistical power, & sample size determination |
Week 14 |
12/8/2022 |
Lecture #12 F-test of multiple means or one-way analysis of variance (ANOVA) |
Week 15 |
12/15/2022 |
Lecture #13 Procedures of comparing multiple means |
Week 16 |
12/22/2022 |
✔ In-class Exam III (Final) |
|