本課程旨在協助學生建立統計思維與資料導向決策能力之基礎，使學生能理解統計學在商業、管理、金融及社會科學研究中的角色與應用。透過理論講授、例題分析與實作演練，本課程完成後，學生將能：1.理解統計學的基本概念與研究流程，包含母體與樣本、參數與統計量、描述統計與推論統計之區別。2.正確蒐集、整理與呈現資料，能運用表格、圖形與數值指標描述資料的分布特性。3.掌握資料分布之集中趨勢與離散程度，並能解釋其在實務決策上的意涵。4.理解機率的基本概念與法則，作為不確定性分析與後續統計推論之基礎。5.熟悉離散型與連續型機率分配之性質與應用，並能將其應用於簡單實務情境中。6.培養量化分析與邏輯推理能力，為後續「統計學二」、研究方法、財務管理與資料分析相關課程奠定基礎。

This course aims to help students establish the foundation of statistical thinking and data-oriented decision-making abilities, so that students can understand the role and application of statistics in business, management, finance and social science research. Through theoretical teaching, case analysis and practical exercises, after completing this course, students will be able to: 1. Understand the basic concepts and research processes of statistics, including the differences between matrix and sample, parameters and statistics, descriptive statistics and inferential statistics. 2. Collect, organize and present data correctly, and be able to use tables, graphics and numerical indicators to describe the distribution characteristics of data. 3. Understand the central tendency and degree of dispersion of data distribution, and be able to explain its implications in practical decision-making. 4. Understand the basic concepts and laws of probability as the basis for uncertainty analysis and subsequent statistical inference. 5. Be familiar with the properties and applications of discrete and continuous probability distribution, and be able to apply them in simple practical situations. 6. Cultivate quantitative analysis and logical reasoning skills to lay the foundation for subsequent courses related to "Statistics II", research methods, financial management and data analysis.

Douglas A. Lind , William G. Marchal , Samuel A. Wathen. Statistical Techniques in Business and Economics(Custom Edition)／19版 (華泰書局代理)

Douglas A. Lind, William G. Marchal, Samuel A. Wathen. Statistical Techniques in Business and Economics (Custom Edition)／19th Edition (Agent by Huatai Book Company)