AMS5 Statistics

Fall 2009



Notes will be added to the bottom of this page as the quarter progresses.

Please check back regularly to keep up to date with items posted there.



General Class Information

Lecture Times: Tuesday and Thursday, 4pm – 5.45pm, Earth & Marine B206

Instructor

Robin Morris (email: rdm @ soe.ucsc.edu – please put “AMS5” in the subject line)

Phone: email is preferred; (650) 966 5035 if desperate

Office: Baskin Engineering 133

Instructor Office Hours

Tuesdays, 11am - noon, Thursdays, 1-2pm

TAs

John Guenther (jguenthe @ soe.ucsc.edu)

Maria Deyoreo (mdeyoreo @ soe.ucsc.edu) – office hours, Mon 3-4pm and Wed 2-3pm in Jack's Lounge (Baskin Engineering)

Bin An (bxan@ucsc.edu)

Sections

Monday 11am - 12.10pm, Merrill Acad 132 – Maria Deyoreo

Monday 5pm - 6.10pm, Soc Sci 1 145 – Maria Deyoreo

Monday 6.30pm – 7.40pm, Soc Sci 1 145 – Maria Deyoreo

Tuesday 8.30am – 9.40am, Soc Sci 2 159 – Bin An

Wednesday 8am – 9.10am, Kresge Clrm 325 – Bin An

Wednesday 11am – 12.10pm, Merrill Acad 132 – Bin An

Wednesday 2pm – 3.10pm, Porter Acad 148 – Bin An

Friday 8am – 9.10am, Baskin Engr 165 – Maria Deyoreo

Tutoring

Learning Support Services provides small-group tutoring for AMS5. You can sign up for 1 hour of tutoring per week for AMS5, via this sign-up page. Sign up begins October 6th. You must attend MSI (see next section) before you are eligible for small-group tutoring. The tutor this quarter is Dawna Lewis ( dlewis @ ucsc.edu )

MSI

AMS5 has Modified Supplemental Instruction available. Jason Tong ( jt32730 @ ucsc.edu ) is the MSI Learning Assistant.

The MSI Schedule is

Tuesday, noon-1.15pm, ARC 203

Wednesday, 3.30-4.40pm, Oakes Learning Center

Thursday 10-11.15am, ARC 203

Handouts

Syllabus

Textbook

Statistics (4th edition), D. Freedman, R. Pisani and R. Purves, W.W. Norton & Company. ISBN 0-393-92972-8.



Other books that may be useful are Struck by Lightning: the curious world of probabilities, Jeffrey S. Rosenthal, and How to Lie With Statistics, Darrell Huff.



Schedule

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

Date

Topic

Chapter

Homework

Lecture Notes

Thu Sept 24th

Introduction; Why Statistics? Data types



notes

Tu Sept 29th

Controlled experiments; observational studies

1,2

Chapter 2 (p 20),

A2, A6, A8, A9, A10

6.4, 6.7, 6.9, 6.11

notes


HIV vaccine 'reduces infection'


A randomized controlled trial of the effects of remote, intercessory prayer on the outcomes in patients admitted to the coronary care unit


Study of the therapeutic effects of intercessory prayer (STEP) in cardiac bypass patients.


Finger size linked to earning power


Parachute use to prevent death and major trauma related to gravitational challenge

Thu Oct 1st

Sample surveys; the histogram

19,3

Chapter 19

A2, A6, A8, A11, A12

9.1, 9.2, 9.4


Chapter 3

A1, A3, A4, A7, B1, B3, C2, E1

8.3, 8.4, 8.10

notes


Chocolate chip cookie histograms

Tu Oct 6th

Average and standard deviation; Normal approximation

4,5

Chapter 4

A2, A4, A6, A8, B1, B2, B5, C1, C4, D1, D8, E4, E8

8.1, 8.4, 8.5, 8.7, 8.9


Chapter 5

A1, B1, B3, C2, D5

7.1, 7.2, 7.4

notes

Thu Oct 8th

Introduction to probability

(quiz)

13

Chapter 13

A1, B1, B2, B4, C4, D1, D3, D7

6.5, 6.7, 6.9, 6.10

notes



quiz solutions are on WebCT

Tu Oct 13th

More probability

14

Chapter 14

A1, A2, B1, B4

6.3, 6.7, 6.9, 6.12

notes

Thu Oct 15th

Binomial Formula; Law of Averages

(quiz)

15, 16

Chapter 15

A1, A4, A5

3.4, 3.6, 3.7


Chapter 16

A3, A6, B2, C3

5.1, 5.3, 5.4, 5.7

notes



quiz solutions are on WebCT

Tu Oct 20th

Expected value and standard error; Normal approximation for probability histograms

17,18

Chapter 17

A1, A2, B1, B4, C1, C2, C5, E9

6.1, 6.3, 6.8, 6.9


Chapter 18

A1, A3, A6, B1, B3, C5, C6

7.1, 7.2, 7.6, 7.11, 7.15

notes

Thu Oct 22nd

Review


practice midterm 1

practice midterm 2

notes



Solutions to practice midterms are on WebCT

Tu Oct 27th

Midterm Exam (in class)



Midterm solutions are on webCT

Thu Oct 29th

NOTE: we spent this class session going over the midterm, so we're one class behind the planned schedule. Please bear this in mind when doing homework problems.



Chance errors in sampling; the accuracy of percentages

20, 21

Chapter 20

A1, A2, A5, B1, B3, C1, C4

6.1, 6.3, 6.7


Chapter 21

A2, A7, A8, B1, B4, C4, C8

6.3, 6.5, 6.8


Tu Nov 3rd

The accuracy of averages; Hypothesis testing

23, 26

Chapter 23

A2, A3, A5, B4, B6, D1, D2

5.3, 5.12


Chapter 26

B2, B5, C1, C4, C7, D1, D4, E2, E3, E10, F2, F3, F7

7.3, 7.11

notes

Thu Nov 5th

Hypothesis testing

(quiz)

26


notes

Tu Nov 10th

More hypothesis testing

(quiz)

27,28

Chapter 27

A1, A4, A6, B2, B5, B7

6.3, 6.5


Chapter 28

A3, A4, A9, C2, C3

5.2, 5.3

notes



Quiz solutions are on webCT

Th Nov 12th

A closer look at tests of significance

(Measurement error; plotting – please read on your own)

(quiz)

29



6,7

Chapter 29

A2, B1, B8, C2, C6

7.3, 7.4

notes

Tu Nov 17th

Correlation

(quiz)

8,9

Chapter 8

A2, A6, B1, B6, D1

5.2, 5.7

notes

quiz solutions are on webCT

Th Nov 19th

More Correlation

(quiz)

8,9

Chapter 9

A2, A3, A4, A5, A10, B4, C1, E3, E4

6.2, 6.5, 6.12

notes

Tu Nov 24th

Regression

(quiz)

10

Chapter 10

A1, A4, C2, C5, D2

6.2, 6.5, 6.7

notes

A note of caution when using the same data to both suggest a hypothesis and perform thesignificance test

quiz solutions are on webCT

Thu Nov 26th

No Class (Thanksgiving)




Tu Dec 1st

RMS error for regression; regression line

11,12

Chapter 11

A2, A4, A7, B1, C1, D1, D6

6.4, 6.6


Chapter 12

A2, B1

4.1, 4.7, 4.8


Th Dec 8th

Review



review part 1

review part 2

Tuesday December 8th

FINAL EXAM (7.30-10.30pm)



practice final 1

practice final 2



Additional information:

Notes

DRC

If you qualify for classroom accommodations because of a disability, please submit your Accommodation 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 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 AMS5 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.