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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