Statistical Methods for the Biological, Environmental, and Health Sciences

General Class Information:


Lecture Times

Tuesday and Thursday, noon-1:45pm, Humn Lecture 206



Robin Morris

email: rdm @ - please put "AMS7" in the subject line

phone: email is preferred; (650) 283 3164 if desperate

Office: Baskin Engineering 357b

Office Hours: Tuesdays 10:15-11:15am, Thursdays 2:15-3:15pm, or by appointment



Jairo Fuquene, jfuquene @

Ngan Nguyen, nknguyen @

Nicole Beyer, nbeyer @



Monday, 9:30-10:40am, Engineering 2, 194

Wednesday, 8:000-9:10am, Engineering 2, 194

Wednesday, 9:30-10:40am, Engineering 2, 194

Friday, 2:00-3:10am, Engineering 2, 194

Sections start on Friday, January 11th, and end on Wednesday, March 13th

There are two holidays this quarter, MLK day on Monday, January 21st and Presidents Day on Monday, February 18th.  Sections will not meet on those days.



The MSI instructor is  Jessica Johnston, email jejjohns @ . The MSI schedule is

Monday, 5-6.15pm, Oakes 101

Tuesday, 4-5.15pm, Crown 104

Wednesday, 2-3.10pm, ARCenter 202

Friday, 12.30-1.40pm, ARCenter 203

it should also be posted at

 The main MSI website is 


Biostatistics for the Biological and Health Sciences, M.M. Triola and M.F. Triola. Pearson (2006)

Other books that may be interesting are "Struck by Lightning: the curious world of probabilities", Jeffrey S. Rosenberg, and "How to Lie With Statistics", Darrel Huff.


Data Sets

[add link to data sets here]



The proposed schedule is below.  Note that this may change depending on how the quarter progresses.


Date Topic Chapter Homework Lecture Notes
Tu, Jan 8th

Introduction to the course.  Why Study statistics?

Data types, experiments.


1.2 Qs 1, 7, 13, 17

1.3 Qs 1, 3, 5, 7, 21, 23, 31

 notes are on the "syllabus" page


Th, Jan 10th

Looking at data. Measures of central tendency

Cookie Form


 2.3 Qs 16

2.4 Qs 1, 5(a-c)


Tu, Jan 15th Measures of dispersion. Definition of probability



2.5 Q 1,3

2.6, Q 7

2.7 Q1 

3.2 Q 1, 3, 5c


Th, Jan 17th Probability 3.3-3.7

 3.3, Q13, 15

3.4 Q9

3.5, Q7, 17, 21

 [there may not be on-line notes from this class unless someone is willing to send me theirs to put up here'
Tu, Jan 22nd Discrete distributions - binomial and Poisson 4.1-4.5

4.3 Q3, 11, 13

4.4 Q11, 13

4.5 Q5a 

Th, Jan 24th

Normal distribution, Sampling distributions


5.1-5.4  5.3 Q 1, 3, 7, 9


quiz grades and solutions are on eCommons

Tu, Jan 29th Central limit theorem 5.5-5.7

 5.5 Q 1, 7, 9, 11

5.6 Q 13, 15, 23

Th, Jan 31st

Confidence intervals



6.2 Q 27, 31, 35

6.3 Q 21, 23 

Tu, Feb 5th Confidence Intervals 6.3-6.4  6.4 Q 13, 17  notes
Th, Feb 7th Review    

 Note: we wil finish off confidence intervals before starting the review


review notes

Tu, Feb 12th Midterm (in class)    

 Practice Midterm

Solutions to the midterm are on eCommons

Th, Feb 14th      

 We spent this class going over the midterm, so we're running a class late with respect to the original schedule.  The schedule shown here has been modified to reflect this.  We will catch up, but note that the quizzes have been rescheduled.

Here is a link to TIm Gower's blog where he discuses teaching to the test (and why it's a bad idea0

Tu Feb 19th Hypothesis Testing 7.1-7.5

7.2 Q 5,7, 37, 39, 41

7.3 Q 9

7.5 Q 17, 21, 25

optional 7.2 Q 43, 44

Th Feb 21st

Two-sample hypothesis tests



 8.2 Q 17, 19

8.3 Q 15, 23

8.4 Q9

Tu Feb 26th

More two-sample tests


8.3-8.4    notes
Th Feb 28th

Correlation and regression



 9.2 Q 5, 11, 23

9.3 Q 3, 9, 19

Tu, Mar 5th

More on regression



9.4 Q 9, 13

9.5 Q 1, 2, 3, 4, 9 

Th, Mar 7th

Chi-square tests



10.2 Q 1, 6, 7, 11, 13

10.3 Q 3, 4, 11, 15

Tu, Mar 12th

Analysis of Variance


11.1-11.2  11.2 Q 1, 3, 4, 9 notes 
Th, Mar 14th


    review notes 
Tu, Mar 19th Final Exam, 8-11am    

A practice final is on eCommons.  Model solutions will be posted later.

Here is the cheat sheet with all the formulae that you might need. You can bring a copy of this sheet to the final, in addition to your one page of notes.


Additional Information



If you qualify for classroom accomodations because of a disability, please submit your Accomodation Authorization from the Disability Resource Center (DRC) to me during my office hours in a timely manner, preferably within the first two weeks of the quarter. Contact the DRC at 459-2089 V, 459-4806 TTY.

Academic Integrity

You are reminded of the University's Policy on Academic Integrity.  I hope not to have to remind any of you individually about this policy.


Some Thoughts About Lectures

"In Praise of Lectures" gives some ideas about the purpose of lectures, note-taking, and not being afraid to ask questions. It's target audience is more advanced mathematics students, but everything it says applies here. Think about the ideas it presents, and you will have a better time in AMS7 lectures. In particular

  • Lectures complement reading the textbook. In lectures I can spend extra time explaining ideas that students find confusing or difficult. I can try to judge from your behaviour your level of comprehension and adjust what I say accordingly.
  • I am not, however, a mind-reader. If you have questions, please ask them. If you don't understand something, chances are there are others who don't understand either, but are more inhibited than you are.
  • If you don't want to concentrate on the lecture, you're not required to attend. Please be considerate of those who do want to concentrate.
  • The lectures will present the material, but you will only know if you truly understand it if you try the homework problems. Only by applying the ideas yourself will you know that you have mastered them. “I went to a lecture on the violin, but when I tried playing one it sounded horrid. The lecturer can't have been any good.”
  • If you are having difficulties, please come and see me during office hours. Do this early in the quarter, rather than a week before the final exam. My goal is for everyone to understand and be comfortable with the material. If this is also your goal, I'm willing to do what's needed to help you achieve that goal.


Instructors and Assistants