---
title: 20210901_stat
tags: 202109
---
# Statistics 統計學
## Information
- [Google Meet](https://meet.google.com/oxz-mquc-bqw), [Vedios有整理](https://drive.google.com/drive/folders/1GNB38NTAXpi_bUwizF2fAJiDKymvSH7r?usp=sharing), [Vedios未整理](https://drive.google.com/drive/folders/16Y6XGv6dr6Hs1-vWTCyLOmiygXtla_4Q?usp=sharing), [Jamboard](https://jamboard.google.com/d/1UnRtrK_skMaXZij_8d96vFKDeCA63-bfuVbrUSamaoI/edit?usp=meet_whiteboard), [Jamboard1106](https://jamboard.google.com/d/1n4KIphhwL45DvtalfbR8g_D6BR-yt2KUcNDfS4-NPns/edit?usp=sharing)
- [專題報告實作懶人包](https://hackmd.io/RyNu7V3nToaT6Qb2WQujjw)
- [Projects](https://hackmd.io/ngkvf98XRxq6f9GNReKa4A)
## Part I
| Week | Topic | Homework|
| --- | --- | ---|
|1 (9/25) | [Overview](https://hackmd.io/hgWKLwqEQHmQ9Sg-p9jEJw)| Hw 1.
|| C01: Describing with graphs| 1R: 15, 19|
|| C02: Describing data with numerical measures | 2R: 3, 4, 17|
| | C03: Describing bivariate data | 3R: 9, 16|
|| Set up HackMD project| |
|| Talk 1: Motivation |
|2 (10/9) |[C04](https://hackmd.io/u0UieqBuR9yNnL_htqvHaQ?both): Probability | Hw 2|
||| 4.1: 25, 28|
||| 4.2: 29, 40|
||| 4.3: 24, 28|
||| 4.4: 32, 35|
|3 (10/23) | [C05](https://hackmd.io/mJw00HlXQ6-nf4A_MKaQJg?both): Discrete Probability Distribution | *Hw3*. |
||4.5 |4.5: 13|
|||4R: 8, 20|
||5.1 |5.1: 32|
||5.2 |5.2: 57|
||5.3 |5.3:20|
|||5R: 13, 21|
||[C06](https://hackmd.io/FQomIK28R7CPBjFb-BNMaw): The normal distribution |6.1: 18. |
||6.1 |
| | Cherry's Demo for EDA|
|4 (11/6) | 6.2 The Normal Probability Distribution |*Hw4* (不用交) |
|| |6.2: 41, 42, 61|
||Review: 4.5, 5.1, 5.2, 5.3|
|5 (11/20)|:apple: 實體上課|
| | Exam 1 | |
||Talk 2: EDA ||
0
:strawberry: Exam 1: 助教這周日(12/5)前,會將每位同學的考題拍照上傳,對考試分數有問題的同學,請在12/18前和助教或老師討論!
:strawberry: Exam 2: 助教這周日(1/16)前,會將每位同學的考題拍照上傳,對考試分數有問題的同學,請在1/22前和助教或老師討論!
## Part II
| Week | Topic | Homework|
| --- | --- | ---|
| 6 (12/4) | [7. Sampling distribution](https://hackmd.io/ob13IPT9QuWe_PQptLzeHw) | Hw5 (共八題)
||7.1 Sampling plans and experimental designs|
||7.2 Statistics and sampling distributions |7.2.1, 7.2.2|
||7.3 The central limit theorem and the sample mean|7.3.23|
||7.4 Assessing normality|
||7.5 The sampling distribution of the sample proportion|7.5.33
|| 7.6 A sampling application: Statistical Process Control (skipped) |
||7. Review |7.R.3|
| | [8. Large sample distribution](https://hackmd.io/J69rmaACSR-Q7BV3GtbXyg)|
||8.1 Where we've been and where we're going|
||8.2 Point estimation| 8.2.30 |
||8.3 Interval estimation|8.3.32, 8.3.37|
| 7 (12/18)|[Jamboard 1](https://jamboard.google.com/d/1wKWHK3iBGCsZ-GNqtfE7uowQd8hIj75_d0cMpRjPy2A/viewer?f=14), [Jamboard 2](https://jamboard.google.com/d/1epf9bwpVOYMtbmcMToU8VbRMOhMVhGBp7cSvYeAiTXg/viewer?f=3) | Hw 6. |
||8.4 Estimating the difference between two population means| 8.4.16
||8.5 Estimating the difference between two binomials proportions| 8.5.17
||8.6 One-sided confidence bounds (skipped) |
|| 8.7 Choosing the sample size (skipped) |
|| 8. Review|
|| [9. Large sample tests of Hypotheses](https://hackmd.io/6_KUxQtRQr6H48S7U5OL1Q?both)|
|| 9.1 A statistical test of hypothesis |9.1.11
|| 9.2 A large-sample test about a population mean|9.2.28
|| 9.3 A large-sample test for the difference between two population means |9.3.15
|| 9.4 A large-sample test of hypothesis for sa binomial proportion|9.4.16
|| 9.5 A large-sample test of hypothesis for the difference between two binomial proportions|9.5.13
| 8 (1/1) | [10. Small sample](https://hackmd.io/qaQ0e_yAR1CBbVzBps8AAg?both) |Hw 7 (不用交
||10.1 Student's t distribution [(15:37)](https://drive.google.com/file/d/1qE1UMbEMT1V5UmkWXSRET43_xK0FKPez/view?usp=sharing) | 10.1.13
||10.2 Small-sample inferences concerning a population mean [(9:30)](https://drive.google.com/file/d/1P5vT1fTv03ioOzgYwLXxv5JxouYyLh-S/view?usp=sharing)| 10.2.19|
||10.3 Small-sample inferences for the difference between two population means: independent random samples [(8:01, ](https://drive.google.com/file/d/1DIpHCYY5Oyzcl4rAnd6UzhJPrE6XoPBU/view?usp=sharing)[17:30)](https://drive.google.com/file/d/1Z9jliY_1H-j6pCqT3xv_wqEcyH9-qSDH/view?usp=sharing)|10.3.19
||10.4 Small-sample inferences for the difference between two population means: A paired difference test [(29:50)](https://drive.google.com/file/d/1J5Yi64LkpXiZ0S60xo5d73Y64o610ihy/view?usp=sharing)|10.4.14
||10.5 Inferences concerning a population variance|10.5.17
||10.6 Comparing two population variances [(22:34, ](https://drive.google.com/file/d/1GUWzqjdDHAwH9yEtJp82UyfMucbWCjeZ/view?usp=sharing)[15:10, ](https://drive.google.com/file/d/17m55XMgJ2hMuiieyoYLJPCTNXGx4egxp/view?usp=sharing)[6:00)](https://drive.google.com/file/d/10uiZ3Im5WX9QHSPSfb8qDbTWQ6qNhc86/view?usp=sharing)| 10.6.21
||10.7 Revisiting the small-sample assumptions [(8:28)](https://drive.google.com/file/d/1lqFTB0XnhUZ_VERWyeQks5MBtfEZiP6T/view?usp=sharing)|
| | [12. Linear regression](https://hackmd.io/uOuCUFXIQ2Ws8LxnT5nnRA) |
|| 12.1 Simple linear regression [(9:02](https://drive.google.com/file/d/181gpFAQ5yPOqfN3Ll0CL6CByF6y518Iz/view?usp=sharing)[, 6:47,](https://drive.google.com/file/d/1yxvnugdAjvpH6Ic75ZPzt8rRySHxJJl_/view?usp=sharing)[例子計算15:55,](https://drive.google.com/file/d/1jwzFQtxb_-h0Hisxyvyxfa1OW-A98HXb/view?usp=sharing)[數學推導 8:57)](https://drive.google.com/file/d/1LwWYZbwh7N4263SmyZ-zk5nwcYtiGCzX/view?usp=sharing) |12.1.8
|| 12.2 An analysis of variance for linear regression [(ANOVA 12:36, ](https://drive.google.com/file/d/1rWSr94PBId69HmY0t9pAqea3PIMG_RDd/view?usp=sharing)[How to use ANOVA? 6:24)](https://drive.google.com/file/d/1gusAHToJeOEHejSCtk57PKYmTLi949oz/view?usp=sharing)|12.2.13
|| 12.3 Testing the usefulness of the linear regression model [($H_0:\beta=0$, 9:04)](https://drive.google.com/file/d/19mmWkBGjiuHRRrQG7UXfDYWbpN0K0tL6/view?usp=sharing)| 12.3.16|
|9 (1/15)|:apple: 實體上課 |
| |Exam 2 |
| | Talk 3: Final presentation|
<!--| | [11: ANOVA](https://hackmd.io/LEgNGJhMQvOogZzrla4m-A)|--->
<!--
|| 12.4 Diagnostic tools for checking the regression assumption|
|| 12.5 Estimation and prediction using the fitted line|
|| 12.6 Correlation analysis|
||:apple: Check problem formulation for each project|
--->
## 3 talks for your project
| Talk |Week |Topic | Details |
| --- | ---|--- | --- |
| 1 | w1 | Motivations | Prof. Teng checked the adequacy of the topic |
| 2 | w5 | EDA (Ch 1, 2, 3) | Data collection and visualizations |
| 3 | w9 | Final presentation (Ch4-13) |Problem formulaion and statistical analyisis |
### 教科書
Mendenhall, Beaver, and Beaver (2020) Introduction to Probability and Statistics, Metric Version 15th Edition, Cengage.
### 中文統計學參考書籍
1. [統計學,觀念與方法](https://shopee.tw/-%E5%A7%86%E6%96%AF-%E3%80%90%E7%8F%BE%E8%B2%A8%E3%80%91%E7%B5%B1%E8%A8%88%E5%AD%B8%EF%BC%9A%E8%A7%80%E5%BF%B5%E8%88%87%E6%96%B9%E6%B3%95-%E4%BA%8C%E7%89%88-%E7%AE%A1%E4%B8%AD%E9%96%94-%E8%8F%AF%E6%B3%B0-9789576095320-i.9366020.66170998): 深入淺出,字字珠璣!
2. [統計,讓數字說話](https://www.eslite.com/product/1001122732687431): 做觀念釐清
3. [統計學的世界](https://www.books.com.tw/products/0010549101): 算是簡單版本的大學部統計教科書。缺點大概是一些比較新的議題沒有討論,但基礎應該很夠。
<!--
:strawberry: For STAT 2022 (Spring):
- We should start form Chapter 7: CLT, CI, and Hypothesis test.
- Have a quiz in the second or third week.
--->
<!--
## 非同步線上課程影片分段 (10/23)
### 影片分段 Part I
1. 簡介HackMD 更新,以及talk 2 (10/23)須知, 17:24。
2. Ch3: Scatter plot
3. Ch3: Correlation coefficients,
4. Ch3: Regression
5. Ch4: Probability
6. CH4: Interpretations of a probability of an event
### 影片分段 Part II
1. Ch4: Probability AXIOM and 2 Examples
2. Ch4: MN rule, Permutation
3. Ch4: Combination
4. CH4: Conditional probability and independence
5. Ch4: A second definition of independence
--->
:::warning
Last updated on 2022/1/15 by [Prof. Huei-Wen Teng](https://hackmd.io/cxnJOabrRQaLDY7w68_3MA). All right reserved.
:::