| 當期課號 |
1064 |
Course Number |
1064 |
| 授課教師 |
李見發 |
Instructor |
LI,JIAN FA |
| 中文課名 |
統計學 |
Course Name |
Statistics |
| 開課單位 |
財務金融系(四日)二A |
Department |
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| 修習別 |
必修 |
Required/Elective |
Required |
| 學分數 |
3 |
Credits |
3 |
| 課程目標 |
課程主要目的在介紹各種統計觀念及方法,以及其在商業上的應用,使學生能正確地使用統計方法來解決許多商業上的問題。其主要內容如下：離散分配；連續分配；估計問題；信賴區間；假設檢定，簡單回歸。 |
Objectives |
Introduction to statistical concepts and methods: descriptive statistics, probability, and distributions; inferences for means, variances, and proportions; and regression and correlation. |
| 教材 |
統計學 方世榮著
華泰出版社 |
Teaching Materials |
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| 成績評量方式 |
出席狀況 考試與作業平時 -30% 期中考- 30%
期末考- 40% |
Grading |
Attendence, Homework, Quiz, lecture notes- 30% Midterm Exam-30% Final Exam - 40% |
| 教師網頁 |
|
| 教學內容 |
Week 1 資料與統計--商業與經濟上的應用
資料; 敘述統計; 統計推論; 電腦與統計分析
Week 2 敘述統計I：表格與圖
定性資料的彙總; 定量資料的彙總
Week 3 敘述統計II：表格與圖
探究性資料分析：莖葉圖表示法; 交叉表格與散佈圖形法
Week 4 資料與統計II：數值方法
位置量數; 離散量數; 相對位置的量數與離群值的偵測
Week 5 資料與統計II：數值方法
探究性資料分析; 兩變數的相關性量數 加權平均數與群組資料的處理
Week 6 機率導論
實驗、計數法則
平時考(1)
Week 7機率導論(I)
機率指派; 事件與事件機率; 機率的基本關係
Week 8機率導論(II)
條件機率; 貝氏定理
Week 9離散機率分配(I)
隨機變數; 離散機率分配; 期望值與變異數; 二項機率分配
Week 10離散機率分配(II)
卜瓦松機率分配; 超幾何機率分配
Week 11 期中考
Week 12 連續機率分配(I)
均勻機率分配; 常態機率分配
Week 13 連續機率分配(II)
二項機率的常態分配近似值; 指數機率分配
Week 14 抽樣與抽樣分配(I)
Electronics Associates的抽樣問題
平時考(2)
Week 15 抽樣與抽樣分配(II)
Electronics Associates的抽樣問題; 簡單隨機抽樣; 點估計; 抽樣分配簡介
Week 16 抽樣與抽樣分配 (III)
p的抽樣分配 點估計量的性質; 其他抽樣方法
Week 17 區間估計
母體平均數：σ 已知; 母體平均數：σ 未知; 樣本大小的決定
母體比例
Week 18 期末考 |
Syllabus |
Week 1 Data and Statistics: Applications in Business and Economics
Data; Descriptive Statistics; Statistical Inference; Computers and Statistical Analysis
Week 2 Descriptive Statistics: Tabular and Graphical Presentations (1)
Summarizing Qualitative Data; Summarizing Quantitative Data.
Week 3 Descriptive Statistics: Tabular and Graphical Presentations (2)
Exploratory Data Analysis; The Stem-and- Leaf Display; Crosstabulations and Scatter Diagrams
Week 4 Descriptive Statistics: Numerical Measures (1)
Measures of Location; Measures of Variability; Measures of Distribution Shape; Relative Location; Detecting Outliers
Week 5 Descriptive Statistics: Numerical Measures (1)
Exploratory Data Analysis; Measures of Association between Two Variables; The Weighted Mean and Working With Grouped Data
Week 6 Introduction to Probability(1)
Experiments, Counting Rules,
Quiz #1
Week 7 Introduction to Probability(2)
Assigning Probabilities Events and Their Probability
Week 8 Introduction to Probability (3)
Some Basic Relationships of Probability; Conditional Probability;Bayes’ Theorem
Week 9 Discrete Probability Distributions (1)
Random Variables; Discrete Probability Distributions Expected Value and Variance; Binomial Distribution
Week 10 Discrete Probability Distributions (2)
Poisson Distribution; Hypergeometric Distribution
Week 11 Mid-term Examination
Week 12 Continuous Probability Distributions (1)
Uniform Probability Distribution; Normal Probability Distribution
Week 13 Continuous Probability Distributions (2)
Normal Approximation of Binomial; Exponential Probability Distribution
Week 14 Sampling and Sampling Distributions(1)
The Electronics Associates Sampling Problem
Quiz #2
Week 15 Sampling and Sampling Distributions(2)
Simple Random Sampling; Point Estimation; Introduction to Sampling
Distributions
Week 16 Sampling and Sampling Distributions (3)
Sampling Distribution of p; Properties of Point Estimators; Other Sampling
Methods
Week 17 Interval Estimation
Population Mean: Known; Population Mean: Unknown; Determining the Sample Size; Population Proportion
Week 18 Final Examination |