ST511-003: Experimental Statistics for Biological Sciences I

Fall 2009

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Contact Information

Instructor

Jung-Ying Tzeng

1505 Partners II Building (Centennial Campus)

919-513-2723
Office Hour: Tu Th 1:10-2:10

Email: jytzeng@stat.ncsu.edu

TA

Courtney Sojda

Email: cmsojda@ncsu.edu

Office Hour: Wednesdays 1:30-2:30 at 1101 SAS Hall

Mailbox: 4260 SAS Hall (where you turn in the late HW)

Class Schedule

Tuesday and Thursday, 10:15am-11:30am

210 Park Shops

Syllabus & Policies

See Course Syllabus

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Week 

Date

Topics (subjective to change)

HW

HW Solution

1

8.20

Ch1: Introduction to statistics 

Ch3: Data description---graphical methods (3.3)

 

 

2

8.25

Ch3: Data description---stem and leaf plot (3.3)

Ch3: Data description---numerical methods (3.4,3.5)

 

 

 

8.27

Ch3: Data description---numerical methods (3.4,3.5)

Ch3: Data description---boxplot (3.6)

Ch4: Random variables and probability distributions---discrete (4.6,4.7)

HW1

 

3

9.1

Ch4: Random variables and probability distributions---discrete (4.6,4.7)

Ch4: Random variables and probability distributions---Binomial (4.8)

 

 

 

9.3

Ch4: Random variables and probability distributions---continuous (4.9)

Ch4: Random variables and probability distributions---Normal (4.10, part 1)

HW2

HW1 Due

Solution

4

9.8

Ch4: Random variables and probability distributions---Normal (4.10, part 1)

Ch4: Random variables and probability distributions---Normal (4.10, part 2)

 

 

 

9.10

Ch4: Random variables and probability distributions---Normal

HW3

HW2 Due

Solution

5

9.15

Ch4: Sampling Distribution (4.12)ßsame as before

 

 

 

9.17

Ch4: Normal approximation to Binomial (4.13)

Ch5: Inference about population means--- point estimation (5.2, part 1)

[HW4: practice problems for M1]

[same file in pdf]

No Need to Turn in!!

Answers

HW3 Due

Solution

6

9.22

Ch5: Inference about population means--- point estimation (5.2, part 1) [same file in pdf]

Ch5: Inference about population means--- interval estimation (5.2, part2)

 

 

 

9.24

Ch5: Inference about population means--- interval estimation

Review: Practice problems for M1 (HW4)

 

 

 

7

9.29

First Midterm

 

 

 

10.1

Ch5: Inference about population means--- hypothesis testing (5.4, Part 1)

 

 

8

10.6

Review of M1

Ch5: Inference about population means--- hypothesis testing (5.4, Part 2)

HW5

 

 

10.8

Fall Break (no class)

 

 

9

10.13

Ch5: Inference about population means--- hypothesis testing (5.4, Part 2)

Ch5: Inference about population means---power and sample size determination (5.5)

 

 

 

10.15

Ch5: Inference about one population mean when s unknown (5.7)

 

HW6

HW5 Due

Solution

10

10.20

Ch5: Inference about one population mean when s unknown (5.7)

Pages 5-6 of Ch5.7 (filled-out version)

Ch6: Inference about two population means: 2-sample t test (6.2)

 

 

 

10.22

Ch6: Inference about two population means: 2-sample t test (6.2)

[HW7: practice problem for M2]

No Need to Turn in.

HW6 Due

Solution

11

10.27

Ch6: Inference about two population means: paired t test (6.4)

 

 

 

10.29

Ch6: Inference about two population means: Wilcoxon rank sum test (6.3) Page 3 modified

Ch6: Inference about two population means: Wilcoxon signed rank test (6.5)

 

 

12

11.3

Ch6: Inference about two population means: Wilcoxon signed rank test (6.5)

Ch8: Inference about more than two population means --- ANOVA

 

 

 

11.5

Ch9: Multiple Comparisons (9.2)

HW8

 

13

11.10

Review: Practice problems for M2 (HW7)

 

 

 

11.12

Second Midterm <-- modified midterm date!

Coverage: Ch5, Ch6.2 and Ch6.4

 

 

14

11.17

Ch9: Multiple Comparisons (9.2)

Ch9: Multiple Comparisons (9.3)

 

 

 

11.19

Ch9: Multiple Comparisons (9.3)

Ch10.2: Categorical data analysis: inference about one population proportion

 

HW8 Due

Solution

15

11.24

Answer keys of M2

Ch10.2: Categorical data analysis: inference about one population proportion

Ch10.3: Categorical data analysis: inference about two population proportions

Ch10.6: Categorical data analysis: Contingency table: test for independence and homogeneity

Extra Credit HW

 

 

11.26

Thanksgiving (no class)

 

 

16

12.1

Ch11: Linear regression and Correlation

 

 

 

12.3

Ch11: Linear regression and Correlation

 

Extra Credit HW Due

Solution

 

12.10

Final Exam (8-11am)

 

 

NCSU SAS Short Course (offered every semester)

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