Fall 2010 ST301 Lec 005 (TH, 11:0012:15, at MICROBIAL SCIENCES BLDG Room 1520)
Instructor: Aki
Syllabus:
See here.
Office hour: Tuesday 12:301:30, WED 2:453:45pm. at MSC 1217A (1F).
HW: Due Thursday in class exact 11:05am. (late penalty 2 points, every 24 hours thereafter.)
Use this front cover for each HW.
Textbook: Statistical Reasoning and Methods, Revised ed. (2004), Tsui/Johnson.
TA:
Jie Wei. email: jwei3@wisc.edu , OH: Thurs 12:301:30pm , MSC 1214, Phone: 263.3615
Chanhan Hsu. email: cchsu2@wisc.edu, OH: Mon, Wed 10am11:30am. MSC B248, Phone: 263.7329
Discussion:
DIS 351 Tue 1:202:10PM, 38 AGR HALL, by Jie Wei
DIS 352 Wed 12:0512:55PM, 225 INGRAHAM, by Chanhan Hsu
DIS 353 Wed 1:202:10PM, 482 VAN HISE, by Chanhan Hsu
DIS 354 Tue 4:004:50PM, 58 BASCOM, by Chanhan Hsu
DIS 355 Tue 2:253:15PM, 58 BASCOM, by Chanhan Hsu
DIS 356 Wed 1:202:10PM, 110 SOCIAL WRK, by Jie Wei
Exam plan:
Bring a hand calculator (no cell phone allowed) and your student ID.
Mid1 Oct 7 (Thu) in class 75 min) = Ch1, 2, 4, 5, 6. (1 cheating paper.)
Mid2 Nov 11 (Thu) in class 75 min) = Ch6, 7, 8, 9. (2 cheating papers.)
Final Dec 21 (Tue) 2:454:45pm Room=AGR HALL 125. =Mid1+Mid2+Ch10, 11, 12. (3 cheating papers.) Heavier weight on Ch10,11,12.
HWs: This is updated regularly.
Lecture topics: This is updated regularly.
 Lecture 1: 9/2 (H)
 Go through Syllabus:
 Here.
 Lecture 2: 9/7 (Tu): Bring your laptop, if possible.
 Introduction to software R
 Ch 1, Ch 2: upto unequl class histogram.
 Note here.
 4up Note here.
 Software R related note.
 Lecture 3: 9/9 (H)
 Ch 2: mean, median, percentile, variance, standard deviation.
 Ch 4.2: Basic terminology for probability theory (maybe no time...)
 Note here.
 4up Note here.
 Lecture 4: 9/14 (Tu)
 Ch 2: Empirical Guideline
 Ch 4.2, 4.3: Basic terminology for probability theory
 Software R for Ch2
 Note here.
 4up Note here.
 HW1_Hint.pdf here.
 IntroRc.txt here.
 Lecture 5: 9/16 (H)
 Ch 4.3 4.4, 4.5: Independence, Bayes rule, Venn diagram, Tree diagram.
 Ch 4.6: The rule of combinations (maybe no time...)
 Note here.
 4up Note here.
 Lecture 6: 9/21 (Tu)
 Software R to draw histogram, boxplot
 Ch 4.6: The rule of combinations
 IntroRd.txt
 Note here.
 4up Note here.
 Lecture 7: 9/23 (H)
 Ch 4 Review
 Ch 4.6: The rule of combinations
 Ch 5: Random Variables and Distribution
 Note here.
 4up Note here.
 Sample Mid1 (It was 60 minutes exam)
 Sp2010 Mid1
 Solution
 Result
 From which HW?
 Lecture 8: 9/28 (H)
 Ch 5: Bernolli, Binomial, distribution
 Note here.
 4up Note here.
 Lecture 9: 9/30 (H)
 Ch 5 : Binomial distribution.
 Ch 6: Normal distribution
 Note here.
 4up Note here.
 Lecture 10: 10/5 (T)
 Ch 6: Normal distribution
 Review
 Note here.
 4up Note here.
 Lecture 11: 10/7 (H)
 Mid1 in class
 Seating is alphabetical order
 Mid1 for odds seating number. (V1)
 Mid1 for even seating number.(V2)
 Mid1 V1 answer key.
 V1, V2 corresponding table
 Result. See page 2.
 Problem difficulties
 Lecture 12: 10/12 (T)
 Ch 6: Normal distribution, transformation
 Feedback about MID 1
 Note here.
 4up Note here.
 Lecture 13: 10/14 (Thu)
 Ch 6.6: Binomial Approximation
 Ch 7: Sampling Distribution
 Return mid 1
 Note here.
 4up Note here.
 Lecture 14: 10/19 (Tue)
 Ch 7: Sample mean distribution. Central Limit Theorem
 Ch 8: Inference about mean under large sample
 Note here.
 4up Note here.
 Lecture 15: 10/21 (THur)
 Ch 8.2, 8.3: Error margin, sample size, confidence interval (CI)
 Ch 8.4: Hypothesis test
 Note here.
 4up Note here.
 Lecture 16: 10/26 (Tue)
 Ch 8.4: Hypothesis test
 Note here.
 4up Note here.
 Sp2010 Mid2. pb2125 are too difficult. Forget them.
 Mid 2 Solution
 Result. See page 2.
 From which HW/Lecture?
 Bonus Problem
 Bonus Problem Answer
 Lecture 17: 10/28 (Th)
 Ch 8.4: Hypothesis test and pvalue
 Note here.
 4up Note here.
 Lecture 18: 11/02 (Tue)
 Ch 8.4: Hypothesis test Review
 Ch 9: Small sample inference. tdistribution
 R review for Ch8, 9
 Note here.
 4up Note here.
 LEC18_R.pdf here.
 LEC18_R.txt here.
 Lecture 19: 11/04 (H)
 Ch 9: Small sample inference. tdistribution
 Ch 9.4 Relation between Conf. Interval and Hypo test
 Note here.
 4up Note here.
 Lecture 20: 11/09 (Tue)
 Ch 9.4 Relation between Conf. Interval and Hypo test
 Review
 Note here.
 4up Note here.
 Lecture 21: 11/11 (H)
 Mid 2, In class. Same style as Mid1
 Seating is alphabetical order.
 Mid2 for odds seating number. (V1)
 Mid2 for even seating number.(V2)
 Mid1 V1 answer key.
 V1, V2 corresponding table
 Result. See page 2.
 Problem difficulties
 Mid1, Mid2, Total scatter plot
 Lecture 22: 11/16 (Tue)
 Ch 9.5: Inference about population variacne
 Ch10: Comparing Two Treatment
 Note here.
 4up Note here.
 Lecture 23: 11/18 (H)
 Ch10: Comparing Two Treatment
 Note here.
 4up Note here.
 Lecture 24: 11/23 (Tu)
 Ch10: Comparing Two Treatment (small sample unequal variance)
 Note here.
 4up Note here.
 Lecture 25: 11/30 (Tu)
 Ch10: Comparing Two Treatment (Matched pair)
 Ch11: Analysing Count data
 Note here.
 4up Note here.
 Lecture 26: 12/02 (H)
 Ch11: Analysing Count data. Two population, large sample
 Note here.
 4up Note here.
 Lecture 27: 12/07 (Tu)
 Ch11: Chisquare test
 Ch11: Contingency table. Neither margin fixed
 Ch12: Regression
 Note here.
 4up Note here.
 Lecture 28: 12/09 (H)
 Ch12: Regression
 Note here.
 4up Note here.
 R code for regression analysis here.
 Lecture 29: 12/14 (T)
 Review
 Note here.
 4up Note here.
 SP2010 Final
 SP2010 Final ANSWER
