統計學

Statistics and Statistical Computing Language

學期

114-2

學分

4 學分

當期課號

310100

永久課號

HKCT10019

開課單位

傳播與科技學系

授課教師

陶振超

校區

六家

類別

必修

上課時間表

節	週一
5 13:20–14:10	統計學 HK114 4 節連堂
6 14:20–15:10
7 15:30–16:20
8 16:30–17:20

* 根據陽明交大上課時間表所列

概述

This course aims to offer a solid introduction to and integration of statistical thinking and statistical computing language R. Statistical thinking is a way of knowing to facilitate decision-making in the face of uncertainty and constitutes the foundation of science. Given that data have permeated every section of society, how to make sense of data and translate them into actionable insight is an indispensable ability for the future world. Moreover, you will learn R for statistical analysis in step. R is a free software across multiple operating systems, designed specifically for statistical computing and graphics with interactive features. It suits the needs of expert number-crunchers as well as amateur data analysts. Real world datasets from Taiwan Communication Survey and media industry may be used to foster your competence.

評分方式

Exercises 36% Weeks 1-5, 8-11, & 12-15 Labs 12% Weeks 1-5, 7, 9-10, & 12-15 Exam 1 20% Week 6 (Chs. 1-8) Exam 2 20% Week 11 (Chs. 9-11) Exam 3 20% Week 16 (Chs. 19, 20, 12- 14, 16)

週次計畫

週次	主題
第 1 週	Introduction & Overview
第 2 週	Basic Concepts & Displaying Data
第 3 週	Measures of Central Tendency & Variability
第 4 週	The Normal Distribution & Basic Concepts of Probability
第 5 週	Sampling distribution and Hypothesis testing
第 6 週	Exam 1
第 7 週	Spring Break
第 8 週	Correlation
第 9 週	Regression
第 10 週	Multiple regression
第 11 週	Exam 2
第 12 週	Chi-Square & Nonparametric Statistics
第 13 週	Hypothesis Tests Applied to Means: One Sample
第 14 週	Hypothesis Tests Applied to Means: Two Related/ndependent Samples
第 15 週	One-Way Analysis of Variance
第 16 週	Exam 3

教科書

Howell, D. C. (2017). Fundamental for the behavioral sciences (9th ed.). Belmont, CA: Wadsworth. Salkind, N. J., & Shaw, L. A. (2019). Statistics for people who (think they) hate statistics using R. Sage.

Office Hours

地點: HK222
時間: Monday, Thursday: 11-13 pm and by appointment
聯絡方式: Office: 31540 E-mail: taoc@nycu.edu.tw