**Information about the class:
**
(ps
pdf)

**Histograms midterm and final
exam results:
NOTE:
The midterm had a total of 100 points. The final exam
had a total of 150 points. To make the two histograms comparable,
the final exam results were rescaled to a total number of 100 points
for the final exam histogram. To figure out where you are you have
to rescaled your score accordingly.
**
(ps
pdf)

**Lecture notes (Summeries from
Spring 2001):
Lecture 1 & 2: Events, probabilities, independence, rules...
**
(ps
pdf)

Lecture 3: Bernoulli trials, random variables, distributions, expectation... (ps pdf)

Lecture 4: Histograms, average, median, standard deviation... (ps pdf)

Lecture 5: Sampling (ps pdf)

Lecture 6: Sample mean (variance computations) (ps pdf)

Lecture 7: Informal hypothesis testing (ps pdf)

Lecture 8: Skipped

Lecture 9: Regression (file has empty pages; they were given as hand-out in class) (ps pdf)

Lecture 10: Regression line, r.m.s. error (ps pdf)

Lecture 11: Joint distributions (ps pdf)

The transparencies I used Tuesday, 4/16 are a part of Week 2 Lecture 2 (Biological sequence analysis) from Terry Speed's Stat 246. They can be downloaded as ps, ppt, or ps file at www.stat.Berkeley.EDU/users/terry/Classes/s246.2002/index.html

Lecture 12: Regression and the Inheritance of Quantitative Traits (ps pdf)

Lecture 13: Entropy and Information (ps pdf)

Lecture 14: Likelihoods, Likelihood Ratios, Hyp. testing, Neyman-Pearson Lemma (ps pdf)

Lecture 17: Maximum Likelyhood estimation (MLE) (ps pdf)

Lecture 18: MLE, Goodness-of-fit (ps pdf)

**Some handouts:
Handout on Addition rule**
(ps
pdf)

**Problem sets:
Set #1 - due Thursday, 2/7 in class **
(ps
pdf)

Set #2 - due Thursday, 2/28 in class (extended) (ps pdf)

Set #3 - due Thursday, 3/14 in class (ps pdf)

Set #4 - due Thursday, 4/4 in class (ps pdf)

Set #5 - due Thursday, 4/18 in class (ps pdf)

Set #6 - due Thursday, 5/9 in class (ps pdf)

**Computer labs:
Lab #1 - due Thursday, 2/21 (extended!) in class
(please turn in a print out, do not submit it electronically)**
(ps
pdf)

Ecoli data for Lab #1:

123nt

cacttt_gap

gcatgc_gap

gtattg_20kb_count

gtattg_5kb_count

purine100

purine1000

purine10000

tataat_20kb_count

tataat_5kb_count

tataat_gap

Lab #2 - due Thursday, 3/7 in class

(please turn in a print out, do not submit it electronically) (ps pdf)

Microarray data for Lab #2: ko8.lab

Powerpoint presentations on microarrays:

First part (introduction) see lecture notes for week 3 in

www.stat.Berkeley.EDU/users/terry/Classes/s246.2002/index.html

Second part (two projects): ppt

Lab #3 - Regression - due Tuesday, 4/29 in class

(please turn in a print out, do not submit it electronically) (ps pdf)

Pearson data for Lab #3:

pearson.dat