課程資訊
課程名稱
統計學
Statistics 
開課學期
110-2 
授課對象
生物資源暨農學院  生物環境系統工程學系  
授課教師
林裕彬 
課號
BSE2028 
課程識別碼
602E23900 
班次
 
學分
3.0 
全/半年
半年 
必/選修
必帶 
上課時間
星期五2,3,4(9:10~12:10) 
上課地點
農工繪圖室 
備註
本課程以英語授課。
總人數上限:60人 
課程網頁
http://www.rslabntu.net/courses/statistics 
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課程概述

本課程以基礎統計及機率之教學為主。 

課程目標
藉由基礎統計教學及相關軟體操作,使修課同學瞭解統計學之基礎理論,以及相關軟體。本課程除介紹統計與機率相關理論外,並同時以相關案例加以應用及解釋,以期使同學能有效學習。 
課程要求
曾修習微積分 
預期每週課後學習時數
 
Office Hours
每週五 14:00~17:00 
指定閱讀
相關統計書籍 
參考書目
待補 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
期末考 
20% 
 
2. 
第二次考試 
20% 
 
3. 
期中考 
20% 
 
4. 
第一次考試 
20% 
 
5. 
作業4次 
20% 
 
 
課程進度
週次
日期
單元主題
第1週
02/18  Introduction
(1) What is statistics?
(2) Probability and probability model
Exploratory data analysis
(1) Sample statistics (mean, variance, median, mode, quantiles)
(2) Histogram and box-and-whisker plot
(3) Empirical cumulative distribution function 
第2週
02/25  Random variable and probability distribution
(1) Definition of random variable
(2) Discrete and continuous random variables
(3) Cumulative distribution function and probability density function 
第3週
03/04  Characterizing a random variable
(1) Expectation, variance, and quantile
(2) Moments and moment generating function
(3) Expectation of a function of a random variable  
第4週
03/11  Univariate distributions (I) Discrete distributions
(1) Uniform distribution
(2) Bernoulli distribution
(3) Binomial distribution
(4) Negative binomial distribution
(5) Geometric distribution
(6) Poisson distribution  
第5週
03/18  Univariate distributions (II) Continuous distribution
(1) Uniform or rectangular distribution
(2) Normal distribution
(3) Exponential distribution
(4) Gamma distribution
(5) Pearson Type III distribution
(6) Log normal and log Pearson Type III distributions  
第6週
03/25  Joint distribution and conditional distribution
(1) Joint cumulative distribution function and joint probability density function
(2) Marginal density function
(3) Conditional distribution and conditional density function
(4) Covariance and correlation
(5) Bivariate normal distribution  
第7週
04/1  Sampling and sampling distributions (I)
(1) Definition of random sample
(2) Definition of a statistic
(3) Sample moments
(4) The Central Limit Theorem  
第8週
04/08  Midterm Exam 
第9週
04/15  Sampling and sampling distributions (II)
(1) Student's t distribution
(2) Chi-square distribution
(3) F distribution
(4) Order statistics
Statistical inference (I) Parameter point estimation
(1) Estimators and estimates
(2) Method of moments
(3) Maximum likelihood method
(4) Properties of estimators  
第10週
04/22  Statistical inference (II) Parameter interval estimation (1) Confidence interval for the mean (2) Confidence interval for the variance (3) Confidence Interval for Difference in Means (4) Confidence interval for a population proportion, p 
第11週
04/29  Hypothesis tests (I)
(1) Null and alternative hypothese
(2) The Critical Region and Test Statistics
(3) The Power Function
(4) Types of error 
第12週
05/06  Hypothesis tests (II) One-sample tests on the mean and
variance
(1) Tests on Mean
(2) Tests on Variance
(3) Paired t-test  
第13週
05/13  Hypothesis tests (III) Nonparametric Goodness-of-fit (GOF) tests
(1) Goodness-of-fit test
(2) Chi-square GOF test
(3) Kolmogorov-Smirnov GOF test 
第14週
05/20  Linear Regression (I)
(1) The Method of Least Squares
(2) Coefficient of determination
(3) Estimating the variance of Y|x 
第15週
05/27  Linear Regression (II)
(4) Confidence intervals of the regression coefficients
(5) Hypothesis tests for regression coefficients
(6) Confidence interval of the regression estimate
(7) Prediction interval of the predicted value  
第17週
06/10  Final Exam