基本素養 Basic Literacy

文化傳承
Culture transition
歷史意識
Historical consciousness
藝術涵養
Artistic literacy
公民素養
Civil literacy
社會關懷
Social concern
經世濟民
Benefit people and the society
國際視野
International Perspective

核心能力 Competence

鞏固系定基礎知識
Consolidate fundamental knowledge in economics
獲得跨領域的多樣化知識
Acquire diversified knowledge from interdisciplinary fields
熟悉經濟分析工具
Be familiar with tools for economic analysis
擴展經濟應用
Expand economic applications
語文與溝通能力
Language proficiency and communication ability
創新與領導能力
Innovative and Leadership Abilities

課程概述 Course Description

基本統計學包含敘述統計與推論統計,敘述統計是將資料組織及彙整, 並加以綜合描述的方法,推論統計是利用各種測度來解釋樣本資料,並推論母體的特性,由於推論統計是近代統計學的核心,因此本課程除了介紹敘述統計的方法之外,將著重於推論統計,特別是其推論方法的機率觀念,為了能夠更清楚地掌握統計觀念,我們將利用數學推導來說明(或證明)重要結果。
The basic statistics include descriptive statistics and inferential statistics. The former is to organize and to summarize the data in a systematic way so as to reach comprehensive statement for the sample; the latter is to use various measures to characterize the sample and patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and are then used to draw inferences about the process or population being studied. The inferential statistics is the core of the modern statistics and thus this course will emphasize the inferential statistics other than the methods of descriptive statistics. In particular, this course is concerned with the theoretical basis of the statistics using probability theory in order to clearly grasp the major concept of statistics. The mathematical methods will be employed to exemplify (or prove) the important statistical theory.

課程學習目標 Course Objectives

  • Students are expected to be familiar with the basic theories in statistics.
  • Students be familiar with the applications of statistics in practice.
  • Students should be able to communicate effectively verbally and in writing.
  • Students should solve strategic problems with a creative approach.
  • 課程進度 Course Outline

    週次 Week進度說明 Progress Description
    1Introduction
    2Some special distributions
    3Some special distributions
    4Important sampling distributions
    5Important sampling distributions
    6Methods of estimation
    7Methods of estimation
    9Limiting distribution
    10Midterm
    11Consistency and unbiasedness
    12Sufficiency, efficiency and completeness
    13Interval estimation
    14Neyman-Pearson Lemma, most power test
    15Neyman-Pearson Lemma, most power test
    16UMPT and MLR
    17More hypothesis testing
    18 Final exam
     以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

    有關課程其他調查 Other Surveys of Courses

    1.本課程是否規劃業界教師參與教學或演講? 否
    Is there any industry specialist invited in this course? How many times? No
    2.本課程是否規劃含校外實習(並非參訪)? 否
    Are there any internships involved in the course? How many hours? No
    3.本課程是否可歸認為學術倫理課程? 否
    Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
    4.本課程是否屬進入社區實踐課程? 否
    Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No

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    1091詹世煌--數理統計學(經濟系)new.pdf