Schedule for STA103, Spring 2001

STA103

Course Schedule for Spring 2001

Below is a preliminary schedule for STA103. Please note that this may be revised considerably as the term progresses; make sure to click on your browser's equivalent of "Reload" to make sure you have the latest version.

Week Date(s) Topics Relevant text Notes, slides Suggested problems

1 11JAN Intro to the course and to statistics in general 1.1-1.6 Lec 1 slides (PowerPoint) Homework 1, Diagnostic exam (PDF, PostScript)

2 16JAN, 18JAN Central tendency and dispersion, experimental design, laws of probability 2.1-2.4, 2.5, 2.7-2.11 PowerPoint, PDF Homework 2

3 23JAN, 25JAN Probability continued, Bayes' Law 3.1-3.4 N/A

4 30JAN, 01FEB Discrete and continuous RVs, binomial dist., expected values, c.d.f.s, uniform and normal dist. 4.1-4.5, 4.8 (4.6-4.7 for reference) Continuous RV lecture notes Homework 3, Homework 4

5 06FEB, 08FEB Finish continuous RVs, bivariate prob. dist, marginal and conditional prob. dist., covariance 5.1-5.5, 5.7, 5.8 Multivariate dist. notes Homework 5

6 15FEB Correlation, begin sampling distributions 2.12, 7.2-7.3, 7.5 Sampling distributions

7 20FEB, 22FEB Central Limit Thm., normal approx. to binomial 7.5, 8.1-8.4 Normal approx. to the binomial Homework 6

8 27FEB, 01MAR Normal approx. to binomial cont., bias issues 8.1-8.4 Bias issues Homework 7

9 06MAR, 08MAR Conf. intervals, intro to hypothesis testing 8.5-8.6, 8.8, 10.1-10.8 Confidence intervals Homework 8

10 20MAR, 22MAR Hypothesis testing, type I & II errors 10.1-10.8 Hypothesis testing

11 27MAR Maximum likelihood estimation 9.7-9.8, 10.4

12 03APR, 05APR Large sample properties of MLEs, linear regression 9.8, 11.1-11.5

13 10APR, 12APR Linear regression continued, intro to multiple regression 11.6-11.9

14 17APR, 19APR Multiple regression continued, review, course evaluations 11.10-11.15

15 24APR Review continued

Week	Date(s)	Topics	Relevant text	Notes, slides	Suggested problems
1	11JAN	Intro to the course and to statistics in general	1.1-1.6	Lec 1 slides (PowerPoint)	Homework 1, Diagnostic exam (PDF, PostScript)
2	16JAN, 18JAN	Central tendency and dispersion, experimental design, laws of probability	2.1-2.4, 2.5, 2.7-2.11	PowerPoint, PDF	Homework 2
3	23JAN, 25JAN	Probability continued, Bayes' Law	3.1-3.4	N/A
4	30JAN, 01FEB	Discrete and continuous RVs, binomial dist., expected values, c.d.f.s, uniform and normal dist.	4.1-4.5, 4.8 (4.6-4.7 for reference)	Continuous RV lecture notes	Homework 3, Homework 4
5	06FEB, 08FEB	Finish continuous RVs, bivariate prob. dist, marginal and conditional prob. dist., covariance	5.1-5.5, 5.7, 5.8	Multivariate dist. notes	Homework 5
6	15FEB	Correlation, begin sampling distributions	2.12, 7.2-7.3, 7.5	Sampling distributions
7	20FEB, 22FEB	Central Limit Thm., normal approx. to binomial	7.5, 8.1-8.4	Normal approx. to the binomial	Homework 6
8	27FEB, 01MAR	Normal approx. to binomial cont., bias issues	8.1-8.4	Bias issues	Homework 7
9	06MAR, 08MAR	Conf. intervals, intro to hypothesis testing	8.5-8.6, 8.8, 10.1-10.8	Confidence intervals	Homework 8
10	20MAR, 22MAR	Hypothesis testing, type I & II errors	10.1-10.8	Hypothesis testing
11	27MAR	Maximum likelihood estimation	9.7-9.8, 10.4
12	03APR, 05APR	Large sample properties of MLEs, linear regression	9.8, 11.1-11.5
13	10APR, 12APR	Linear regression continued, intro to multiple regression	11.6-11.9
14	17APR, 19APR	Multiple regression continued, review, course evaluations	11.10-11.15
15	24APR	Review continued

Important dates

First STA103 class 11JAN

First midterm exam 13FEB

Spring break 10MAR-18MAR

Second midterm exam 29MAR

Last STA103 class 24APR

Final exam 9:00AM-12:00N on 04MAY

First STA103 class	11JAN
First midterm exam	13FEB
Spring break	10MAR-18MAR
Second midterm exam	29MAR
Last STA103 class	24APR
Final exam	9:00AM-12:00N on 04MAY