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統計學

統計學. 指導老師 : 郭燿禎 Date: 9/11/13. 基本資料. 背景資料 博士 : University of Texas at Austin (Construction engineering and project management): 碩士 : Ohio State University(Construction Management) 17 年工作經驗 產業界 6 年 研究單位及學術界 11 年 現職 : 開南大學創新及專案管理研究所專任副教授. 聯絡資訊. 聯絡資訊 教研室 : A607

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統計學

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  1. 統計學 指導老師: 郭燿禎 Date: 9/11/13

  2. 基本資料 • 背景資料 • 博士: University of Texas at Austin (Construction engineering and project management): • 碩士: Ohio State University(Construction Management) • 17年工作經驗 • 產業界 6年 • 研究單位及學術界 11年 • 現職: 開南大學創新及專案管理研究所專任副教授

  3. 聯絡資訊 • 聯絡資訊 • 教研室: A607 • 校內分機: 03-341-2500 ext:6174 • E mail: yckuo@mail.knu.edu.tw

  4. 教科書 • David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Juei-Chao Chen原著 • 陳可杰等合譯，“統計學-Statistics for Business and Economics, 12版“ • ISBN-13:978-986-5840-04-4 • 滄海書局 (04-27088787; 0932-597332)

  5. 評量方式 • 期中測驗: 30 % • 期末測驗: 30 % • 作業成績: 20 % • 課程參與: 20 %

  6. Chapter I 資料與統計 • Learning Objectives • How statistics is used in business (統計於商業之應用) • The sources of data used in business (應用於商業上資料來源) • The types of data used in business (應用於商業上資料型式)

  7. Chapter II 敘述統計 I:表格與圖形法 • Learning Objectives • To develop tables and charts for categorical data (建立類別型資料的圖表) • To develop tables and charts for numerical data (建立數值型資料的圖表) • The principles of properly presenting graphs (建立正確統計圖形的原則)

  8. Chapter III 敘述統計 II:數值方法 • Learning Objectives • To describe the properties of central tendency, variation, and shape in numerical data (數值型資料之集中趨勢、變異及圖形) • To calculate descriptive summary measures for a population (母體敘述統計分析) • To construct and interpret a box-and whisker plot (箱型圖之繪製與意涵) • To describe the covariance and the coefficient of correlation (共變數與相關係數)

  9. Chapter IV 機率導論 • Learning Objectives • Basic probability concept (基本機率概念) • Conditional probability (條件式機率) • To use Bayes’ theorem to revise probabilities (利用貝氏定理修正機率) • Various counting rules (相依及獨立事件機率的計算規則)

  10. Chapter V 離散機率分配 • Learning Objectives • The properties of a probability distribution (機率分布特性) • To compute the expected value and variance of a probability distribution (計算機率分布的期望值及變異數) • To calculate the covariance and understand its use in finance (計算共變數及了解它於財務上的應用) • To compute probabilities from binomial, hypergeometric, and Poisson Distribution (二項分佈、超幾何分布、柏松分佈機率的計算) • How to use the binomial, hypergeometric, and Poisson distribution to solve business problems (二項分佈、超幾何分布、柏松分佈應用於解決商業問題)

  11. Chapter VI 連續機率分配 • Learning Objectives • To compute probabilities from the normal distribution (常態分布機率計算) • To use the normal probability plot to determine whether a set of data is approximately normally distributed (資料常態分布檢定) • To compute probabilities from the uniform/exponential distribution (均勻分布及指數分佈機率計算) • To compute probabilities from the normal distribution to approximate probabilities from the binormial distribution (利用常態分佈求二項分佈機率之近似值)

  12. Chapter VII 抽樣與抽樣分配 • Learning Objectives • The concept of the sampling distribution (樣本分布概念，抽樣) • To compute probabilities related to the sample mean and sample proportion (平均值及比率機率計算) • The importance of the central limit theorem (中央極限理論) • To distinguish between different survey sampling methods (不同抽樣方法比較)

  13. Chapter VIII 區間估計 • Learning Objectives • To construct and interpret confidence interval estimates for the mean and the proportion (平均值及比率之信心區間量測) • How to determine the sample size necessary to develop a confidence interval for the mean or proportion (平均值及比率之信心區間量測與樣本數關聯性) • How to use confidence interval estimates in auditing (如何利用信心區間進行稽核)

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