Min. Q1 Median Mean Q3 Max. n= 63
0.00 25.50 46.00 46.52 67.50 110.00 s.d.= 27.3
0 | 011556056789
2 | 01256770146779
4 | 00046667901555558
6 | 555500011555
8 | 0501155
10 | 0 顏色意義:警示 危險.
Date
Post |
Problems |
Due Date |
Readings/Remark |
160301 |
160308 |
Assigned
in class |
|
160315 | 2.2-2, 2.2-8, 2.2-12; 2.3-1, 2.3-3, 2.3-4 | 160324 | Read Sec 2.2, 2.3. |
160329 |
2.6-2, 2.6-10; 3.3-2, 3.3-6, 3.3-10,
3.3-15; 2.4-5, 2.4-9, 2.4-19 |
160408 |
Read Sec 2.6, 3.3, 2.4 |
160419 |
1.4-2, 1.4-11; 4.1-1, 4.1-3; 4.4-1,
4.4-2 |
練習, 不用繳交 |
Read Sec 1.3, 1.4; 4.1, 4.4; Review
your class notes. |
160429 |
妳覺得期中考成績 像是常態嗎?妳成績所在位置要是以常態假設逼近準確嗎?以小組同學成績估算全班成績是否準確?可以大致完成哪些估算?有什麼限制? | 想想 |
|
160510 |
Read Sec
6.4; Sec 5.3 |
||
160517 |
5.3-1, 5.3-2, 5.3-3, 5.3-11; 5.4-2,
5.4-9, 5.5-1, 5.5-3. # Let X_1, ..., X_n be iid N(\mu, \sigma^2). Give three unbiased estimators for $\mu$. Which one of them has the best mean squared error performance (i.e. smallest MSE)? |
160524 |
|
160531 | 7.1-1, 7.1-2, 7.1-3, 7.1-8, 7.1-14.a), 7.1-17 | 160607 | Read Sec 7.1, Sec 7.2. Understand Fig 7.1-1 |
160607 | 7.2-1, 7.2-9(a,b,c) (assuming these percentages within each group, say Males/pre, Males/post, Female/pre, Female/post are random (iid) sample from respective normal distributions), 7.3-3, 7.3-4; 7.4-7 | For your practice. Read Sec 7.2, Sec 7.3, Sec 7.4 修正:A correction note for class 160607. (note.jpg) 考試不難,會就簡單。提早準備,輕鬆過關:) | |
160614 | 8-1.1 a),b), 8.1-2 a),b), 8.1-8 b), 8.1-11 | Sec 8.1 |