Type of Credit: Required
Credit(s)
Number of Students
The objective of this course is to provide the students with the essential and fundamental concepts of statistics. The course covers descriptive statistics, basic concepts of probability, random variables, some discrete and continuous distributions, the concept of sampling distributions, and basic statistical inference (point estimation, interval estimation, and hypothesis testing).
註：
1. 若無法於12/17講授完第八章與第九章，12/24仍會繼續上課。
2. 請注意查閱學校系統上本課程的加簽與遞補之設定。在7月學校公告課表時，本課程即公告且設定為「不開放遞補」。
能力項目說明
This course is designed to introduce college-level students the basic concepts in statistics. In particular, students will learn descriptive statistics, random variables, distributions, and basic statistical inference in this semester. After taking this course, students will demonstrate the ability to perform exploratory data analysis and interpret the results properly; understand the fundamental concepts of random variables and distributions; understand the concepts of population, sample, and statistical inference; be able to make statistical inference from data and draw proper conclusions.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
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週次 Week |
課程主題 Topic |
課程內容與指定閱讀 Content and Reading Assignment |
教學活動與作業 Teaching Activities and Homework |
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1 |
(Sep. 10) What is Statistics. |
Chapter 1 and 3 |
Lecture |
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2 |
(Sep. 17) National holiday |
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3 |
(Sep 24) A Survey of Probability Concepts. Discrete random variables and probability distributions (Random variable, mean, variance). |
Chapter 4 and 5 |
Lecture |
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4 |
(Oct. 1) Discrete random variables and probability distributions (binomial, hypergeometric and Poisson distributions) |
Chapter 5 |
Lecture |
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5 |
(Oct. 8) Quiz 1 Continuous random variables and probability distributions (Uniform, normal) |
Chapter 6 |
Quiz 1 HW Lecture |
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6 |
(Oct. 15) Continuous random variables and probability distributions (normal, exponential distributions) |
Chapter 6 |
HW Lecture |
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7 |
(Oct. 22) Sampling methods and the Central Limit Theorem (Sampling methods, sampling distribution, the CLT) |
Chapter 7 |
HW Lecture |
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8 |
(Oct. 29) Sampling methods and the Central Limit Theorem (Sampling methods, sampling distribution, the CLT) |
Chapter 7 |
HW Lecture |
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9 |
(Nov. 5) Midterm Exam |
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10 |
(Nov. 12) One-sample hypothesis tests (One-tailed and two-tailed tests, testing for a population mean) |
Chapter 9 |
HW Lecture |
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11 |
(Nov. 19) Quiz 2 One-sample hypothesis tests (One-tailed and two-tailed tests, testing for a population mean) |
Chapter 9 |
Quiz 2 HW Lecture |
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12 |
(Nov. 26) More on hypothesis tests (concept, computing power) |
Chapter 9 |
HW Lecture |
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13 |
(Dec. 3) More on hypothesis tests |
Chapter 9 |
HW Lecture |
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14 |
(Dec. 10) Estimation and confidence intervals (Point estimation, confidence intervals) |
Chapter 9 |
HW Lecture |
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15 |
(Dec. 17) Estimation and confidence intervals (confidence intervals for population mean and proportion, sample size) |
Chapter 8 |
HW Lecture |
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16 |
(Dec. 24) 彈性學習周 (online learing) |
Chapter 2 and 3 |
video online (videos will be announced on Moodle) |
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17 |
(Dec. 31) Final Exam |
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18 |
(Jan. 7, 2025) 彈性學習周 |
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Midterm exam: 35%
Final exam: 40%
two quizzes: 10%
Homework: 15%
Statistics for Business and Economics (14e or 15e), by D. R. Anderson, D. J. Sweeney, T. A. Williams, J. D. Camm, and J. J. Cochran
| 書名 Book Title | 作者 Author | 出版年 Publish Year | 出版者 Publisher | ISBN | 館藏來源* | 備註 Note |
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http://moodle.nccu.edu.tw/