Fall 2010 ST301 Lec 005 (TH, 11:00-12:15, at MICROBIAL SCIENCES BLDG Room 1520)

Instructor: Aki

Syllabus: See here.

Office hour: Tuesday 12:30-1:30, WED 2:45-3:45pm. 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 12:30-1:30pm　, MSC 1214, Phone: 263.3615

Chanhan Hsu. email: cchsu2@wisc.edu, OH:　Mon,　Wed 10am-11:30am. MSC B248, Phone: 263.7329

Discussion:

DIS 351 Tue 1:20-2:10PM, 38 AGR HALL, by Jie Wei

DIS 352 Wed 12:05-12:55PM, 225 INGRAHAM, by Chanhan Hsu

DIS 353 Wed 1:20-2:10PM, 482 VAN HISE, by Chanhan Hsu

DIS 354 Tue 4:00-4:50PM, 58 BASCOM, by Chanhan Hsu

DIS 355 Tue 2:25-3:15PM, 58 BASCOM, by Chanhan Hsu

DIS 356 Wed 1:20-2:10PM, 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) 2:45-4:45pm Room=AGR HALL 125. =Mid1+Mid2+Ch10, 11, 12. (3 cheating papers.) Heavier weight on Ch10,11,12.

HWs: This is updated regularly.

• HW1: due 2010/9/16 (H)
  
  1. HW1.pdf
  2. HW1_Hint.pdf
  3. myScore.txt
  4. winePrice.txt
• HW2: due 2010/9/23 (H)
  
  1. HW2.pdf
  2. IntroRd.txt
• HW3: due 2010/9/30 (H)
  
  1. HW3.pdf
  2. HW3_hint.R
  3. Your output should look like PB1_boxplot.pdf
  4. Your output should look like PB2_2hist.pdf
• HW4: due 2010/10/05 (Tue)[Special DUE Tuesday!] (Chanhan posts the answer.)
  
  1. HW4.pdf
• HW5 : due 2010/10/14 (Jenny posts the answer.)
  
  1. HW5.pdf
• HW6 : due 2010/10/21 (Chanhan posts the answer.)
  
  1. HW6.pdf
• HW7 : due 2010/10/28 (Jenny posts the answer.)
  
  1. HW7.pdf
• HW8 : due 2010/11/04 (Chanhan posts the answer.)
  
  1. HW8.pdf
• HW9 : due 2010/11/09 (Tue)[Special DUE Tuesday!] (Jenny posts the answer.)
  
  1. HW9.pdf
• HW10 : due 2010/11/18 (Chanhan posts the answer.)
  
  1. HW10.pdf
• HW11 : due 2010/12/02 (Jenny posts the answer.)
  
  1. HW11.pdf
• HW12 (last): due 2010/12/09 (Chanhan posts the answer.)
  
  1. HW12.pdf

Lecture topics: This is updated regularly.

• Lecture 1: 9/2 (H)
  
  1. Go through Syllabus:
  2. Here.
• Lecture 2: 9/7 (Tu): Bring your laptop, if possible.
  
  1. Introduction to software R
  2. Ch 1, Ch 2: upto unequl class histogram.
  3. Note here.
  4. 4-up Note here.
  5. Software R related note.
• Lecture 3: 9/9 (H)
  
  1. Ch 2: mean, median, percentile, variance, standard deviation.
  2. Ch 4.2: Basic terminology for probability theory (maybe no time...)
  3. Note here.
  4. 4-up Note here.
• Lecture 4: 9/14 (Tu)
  
  1. Ch 2: Empirical Guideline
  2. Ch 4.2, 4.3: Basic terminology for probability theory
  3. Software R for Ch2
  4. Note here.
  5. 4-up Note here.
  6. HW1_Hint.pdf here.
  7. IntroRc.txt here.
• Lecture 5: 9/16 (H)
  
  1. Ch 4.3 4.4, 4.5: Independence, Bayes rule, Venn diagram, Tree diagram.
  2. Ch 4.6: The rule of combinations (maybe no time...)
  3. Note here.
  4. 4-up Note here.
• Lecture 6: 9/21 (Tu)
  
  1. Software R to draw histogram, boxplot
  2. Ch 4.6: The rule of combinations
  3. IntroRd.txt
  4. Note here.
  5. 4-up Note here.
• Lecture 7: 9/23 (H)
  
  1. Ch 4 Review
  2. Ch 4.6: The rule of combinations
  3. Ch 5: Random Variables and Distribution
  4. Note here.
  5. 4-up Note here.
  6. Sample Mid1 (It was 60 minutes exam)
  7. Sp2010 Mid1
  8. Solution
  9. Result
  10. From which HW?
• Lecture 8: 9/28 (H)
  
  1. Ch 5: Bernolli, Binomial, distribution
  2. Note here.
  3. 4-up Note here.
• Lecture 9: 9/30 (H)
  
  1. Ch 5 : Binomial distribution.
  2. Ch 6: Normal distribution
  3. Note here.
  4. 4-up Note here.
• Lecture 10: 10/5 (T)
  
  1. Ch 6: Normal distribution
  2. Review
  3. Note here.
  4. 4-up Note here.
• Lecture 11: 10/7 (H)
  
  1. Mid1 in class
  2. Seating is alphabetical order
  3. Mid1 for odds seating number. (V1)
  4. Mid1 for even seating number.(V2)
  5. Mid1 V1 answer key.
  6. V1, V2 corresponding table
  7. Result. See page 2.
  8. Problem difficulties
• Lecture 12: 10/12 (T)
  
  1. Ch 6: Normal distribution, transformation
  2. Feedback about MID 1
  3. Note here.
  4. 4-up Note here.
• Lecture 13: 10/14 (Thu)
  
  1. Ch 6.6: Binomial Approximation
  2. Ch 7: Sampling Distribution
  3. Return mid 1
  4. Note here.
  5. 4-up Note here.
• Lecture 14: 10/19 (Tue)
  
  1. Ch 7: Sample mean distribution. Central Limit Theorem
  2. Ch 8: Inference about mean under large sample
  3. Note here.
  4. 4-up Note here.
• Lecture 15: 10/21 (THur)
  
  1. Ch 8.2, 8.3: Error margin, sample size, confidence interval (CI)
  2. Ch 8.4: Hypothesis test
  3. Note here.
  4. 4-up Note here.
• Lecture 16: 10/26 (Tue)
  
  1. Ch 8.4: Hypothesis test
  2. Note here.
  3. 4-up Note here.
  4. Sp2010 Mid2. pb21-25 are too difficult. Forget them.
  5. Mid 2 Solution
  6. Result. See page 2.
  7. From which HW/Lecture?
  8. Bonus Problem
  9. Bonus Problem Answer
• Lecture 17: 10/28 (Th)
  
  1. Ch 8.4: Hypothesis test and p-value
  2. Note here.
  3. 4-up Note here.
• Lecture 18: 11/02 (Tue)
  
  1. Ch 8.4: Hypothesis test Review
  2. Ch 9: Small sample inference. t-distribution
  3. R　review for Ch8, 9
  4. Note here.
  5. 4-up Note here.
  6. LEC18_R.pdf here.
  7. LEC18_R.txt here.
• Lecture 19: 11/04 (H)
  
  1. Ch 9: Small sample inference. t-distribution
  2. Ch 9.4 Relation between Conf. Interval and Hypo test
  3. Note here.
  4. 4-up Note here.
• Lecture 20: 11/09 (Tue)
  
  1. Ch 9.4 Relation between Conf. Interval and Hypo test
  2. Review
  3. Note here.
  4. 4-up Note here.
• Lecture 21: 11/11 (H)
  
  1. Mid 2, In class. 　Same style as Mid1
  2. Seating is alphabetical order.
  3. Mid2 for odds seating number. (V1)
  4. Mid2 for even seating number.(V2)
  5. Mid1 V1 answer key.
  6. V1, V2 corresponding table
  7. Result. See page 2.
  8. Problem difficulties
  9. Mid1, Mid2, Total scatter plot
• Lecture 22: 11/16 (Tue)
  
  1. Ch 9.5: Inference about population variacne
  2. Ch10: Comparing Two Treatment
  3. Note here.
  4. 4-up Note here.
• Lecture 23: 11/18 (H)
  
  1. Ch10: Comparing Two Treatment
  2. Note here.
  3. 4-up Note here.
• Lecture 24: 11/23 (Tu)
  
  1. Ch10: Comparing Two Treatment (small sample unequal variance)
  2. Note here.
  3. 4-up Note here.
• Lecture 25: 11/30 (Tu)
  
  1. Ch10: Comparing Two Treatment (Matched pair)
  2. Ch11: Analysing Count data
  3. Note here.
  4. 4-up Note here.
• Lecture 26: 12/02 (H)
  
  1. Ch11: Analysing Count data.　Two population, large sample
  2. Note here.
  3. 4-up Note here.
• Lecture 27: 12/07 (Tu)
  
  1. Ch11: Chi-square test
  2. Ch11: Contingency table. Neither margin fixed
  3. Ch12: Regression
  4. Note here.
  5. 4-up Note here.
• Lecture 28: 12/09 (H)
  
  1. Ch12: Regression
  2. Note here.
  3. 4-up Note here.
  4. R code for regression analysis here.
• Lecture 29: 12/14 (T)
  
  1. Review
  2. Note here.
  3. 4-up Note here.
  4. SP2010 Final
  5. SP2010 Final ANSWER