Download 統計學

Syllabus and Course Description
Course Title：
(Chinese)
統計學（1）
(English) Statistics (I)
Year of Students
(for undergraduate
courses)
Required competence or courses that must be previously taken by students:
None
Credits
3
Required/
Elective
4IEM1
Course Descriptions and Objectives:
中文課程綱要：
本課程之目的在訓練學生，使學生熟悉經常使用之統計方法與理論，能利用已知之資料整
理、分析未知之現象，打好修習其他相關學科之基礎。課程內容包括：敍述統計學、統計圖表
之繪製、統計量數之求算、機率理論、常用的機率分配、抽樣與抽樣分配、估計等。
英文課程綱要：
The purpose of this course is to train student and to provide a background in the theory and
methodology of general statistical issues. Topics include: descriptive statistics, graphical and
tabular, numerical descriptive techniques, probability theory, probability distributions, sampling
distributions and estimation.
Textbooks (please specify 1. Statistics for management and economics, abbreviated 7th ed.﹐
titles, authors, publishers
Keller, 滄海書局，2007。
and year of publication) 2. Basic business statistics – Concepts and applications, 11th ed., M. L.
Berenson, D. M. Levin, T. C. Krehbiel, 華泰書局，2009。
Course Contents
Remarks
Topics
What is statistics
Outlines
1. Key Statistical Concepts
2. Statistical Application in Business
3. Statistics and the Computer
1. Types of Data and Information
2. Graphical and Tabular Techniques for
Nominal Data
Graphical
and
tabular 3. Graphical Techniques for Interval Data
descriptive techniques
4. Describing the Relationship Between Two
Variables
5. Describing Time-Series Data
Hours
3
6
Numerical
techniques
1. Measures of Central Location
2. Measures of Variability
descriptive 3. Measures of Relative Standing and Box
Plots
4. Comparing Graphical and Numerical
Techniques
5. General Guidelines for Exploring Data
7.5
1. Assigning Probability to Events
2. Joint﹐Marginal﹐and Conditional Probability
Probability theory
3. Probability Rules and Trees
6
4. Bayes’ Law
5. Identifying the Correct Method
1. Random Variables and Probability
Random variables and Distributions
discrete
probability 2. Bivariate Distribution
distributions
3. Binomial Distribution
7.5
4. Poisson Distribution
Continuous
distributions
1. Probability Density Functions
probability 2. Normal Distribution
3. （optional）Exponential Distribution
6
4. Other Continuous Distribution
Sampling distributions
1. Sampling Distribution of the Mean
2. Sampling Distribution of a Proportion
3. Sampling Distribution of the Difference
Between Two Means
4. From Here to Inference
1. Concepts of Estimation
2. Estimating the Population Mean When the
Introduction to estimation
Population Standard Deviation Is Known
3. Selecting the Sample Size
6
6
Syllabus
Week
Contents/Topic
Date
1
What is statistics
2
Graphical and tabular descriptive techniques
3
Graphical and tabular descriptive techniques
4
Numerical descriptive techniques
5
Numerical descriptive techniques
Numerical descriptive techniques
6
Probability theory
7
Probability theory
Probability theory
8
Random variables and discrete probability distributions
9
Middle examination
10
Random variables and discrete probability distributions
11
Random variables and discrete probability distributions
12
Continuous probability distributions
13
Continuous probability distributions
14
Sampling distributions
15
Sampling distributions
16
Introduction to estimation
17
Introduction to estimation
18
Final examination