## 基本素養 Basic Literacy

Culture transition

Historical consciousness

Artistic literacy

Civil literacy

Social concern

Benefit people and the society

International Perspective

## 核心能力 Competence

Consolidate fundamental knowledge in economics

Acquire diversified knowledge from interdisciplinary fields

Be familiar with tools for economic analysis

Expand economic applications

Language proficiency and communication ability

## 課程概述 Course Description

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 Progress Description

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