This
course is an introduction to statistical methods as practiced in the
biological, environmental, and health sciences. Descriptive methods,
experimental design, probability, interval estimation, hypothesis testing, one-
and two-sample problems, power and sample size calculations, simple correlation
and simple linear regression, one-way analysis of variance, categorical data
analysis.
Lecture
times:
Tuesdays
and Thursdays from 02:00pm to 03:45pm at Thim Lecture 3.
Instructor:
Name:
Abel Rodriguez,
abel at ams dot ucsc dot edu.
Office:
Baskin Engineering, 147.
Instructor
Office Hours:
Tuesdays
and Thursdays from 04:00pm to 05:00pm.
Teaching
Assistants:
Ziwei
Wang, zwang4 at soe dot ucsc dot edu, JBE 146. Office hours: Tuesdays, 09:00am to 11:00am.
Waley
Liang, wliang at soe dot ucsc dot edu, JBE 146. Office hours: Wednesdays, 8:45am-10:45am.
Saheli
Datta, saheli at soe dot ucsc dot edu, JBE 146. Office hours: Thursdays, 12:30pm to 1:30pm.
The
required textbook for this class is “Biostatistics
for the Biological and Health Sciences” by M.
M. Triola and M. F. Triola, 2006. Pearson, Addison Wesley.
Other books that will be used in this class will be ”How
to lie with statistics” by Darrell Huff
and “Struck
by Lightning” by J. S. Rosenthal. Disclaimer: the links are provided only as a reference and are not meant
as an endorsement of any bookseller.
In
this class we will be using the iClicker system. You are responsible for bringing your own iClicker to the
classroom; not doing so is equivalent to missing the class in terms of review
quizzes and participation credit (see below). Using someone else’s iClicker is a violation of the code of
ethics equivalent to plagiarism and will be punished accordingly. To register you iClicker, press
here!
You
will need a calculator for all classes, exams and quizzes. It is important that the calculator has
a square root key and logarithms in addition to the usual arithmetic
operations. You will not be
allowed to borrow somebody else’s calculator during exams or quizzes.
Homeworks:
There
will be 9 homeworks, which are due weekly on Thursday each week starting on
week 2 (see schedule bellow). Homework will be checked but will not be graded. However, you will receive participation
credit for turning it in, and questions for quizzes (as well as part of the
midterm and final exams) will be taken from them. In addition, a few problems from each
homework will be selected to be discussed in during sessions.
Quizzes
(20% total):
Four
written quizzes will be assigned along the term (dates will be random, but they
will happen during regular lecture hours). Only the best three scores will be retained, and each will
be worth 5% of the total grade.
In
addition, at the beginning of the each class there will be a review quiz that
will use the iClicker and will be worth a total of 5%. The quiz will be made up of two to
three questions based on the material covered in previous classes. Only the best 90% of the questions will
be given credit.
Midterm
(30% total):
Tuesday,
May 05 on regular class hours
Final
(45% total):
Thursday,
June 11 from 8:00 am to 11:00 am.
Participation
(5% total):
The
participation credit will be assigned based on homework turn in and use of the
iClicker to answer instructor questions during the lecture.
Extra-credit:
There
will be two extra credit assignments, worth 6 points (out of a hundred)
each. The first extra credit, which
is due on the date of the midterm exam, consists of reading the book “How to
lie with statistics” and compiling four current examples (typically, newspaper
clippings, but could also be videos publicly available, for example, in YouTube
or some news site) of the concepts illustrated in the book (deceitful graphs,
faulty “scientific” statements, etc).
You also need to add a short (one paragraph) explanation of why each of
these examples illustrates a concept explained in the book.
The
second extra credit, which is due on the date of the final, consists on reading
the book “Struck by lightning”. A
couple of multiple-choice questions taken almost directly from the book will be
included in the final exam.
Enrollment
in AMS-7L is a co-requisite.
Material will be linked but administratively AMS7-L is a distinct course
and you will receive a separate letter grade for it. However, if you fail either AMS-7 or AMS-7L,
you fail both classes.
Each lab will consist of a self-paced worksheet with a cover sheet. You should work through the lab, with
personnel available for assistance as needed. There will be several questions marked with a special symbol. After completing all questions up to
and including that question, you should raise your hand and get your answers
for that section checked. If your
answers are sufficient, the course assistant will initial your cover sheet for
that question. Otherwise, they
will let you know what needs to be fixed before you can be signed off. At the end of the lab, you turn in your
fully initialed cover sheet, and keep the rest of your lab. A fully initialed cover sheet gets you
full credit for the lab. The schedule
for the laboratories is as follows:
|
AMS-7L-01 |
Mondays, 02:00pm-04:00pm |
Social
Sciences I, 135 |
Ziwei
Wang |
|
AMS-7L-02 |
Tuesdays, 11:00am-01:00pm |
Social
Sciences I, 135 |
TBA |
|
AMS-7L-03 |
Wednesdays, 01:00pm-03:00pm |
Social
Sciences I, 135 |
Waley
Liang |
|
AMS-7L-04 |
Thursdays, 09:30am-11:30am |
Social
Sciences I, 135 |
Ziwei
Wang |
|
AMS-7L-05 |
Thursdays, 04:00pm-06:00pm |
Social
Sciences I, 135 |
Saheli
Datta |
Attendance
to the class is required, and will be evaluated through the participation
credit and the quizzes. Roughly, it
is expected that you will attend at least 90% of the lectures, and the grading
policy is such that if you miss two lectures or less your grade will not be
affected.
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 (voice), 459-4806 (TTY).
Some
hours of individual tutoring will be available for those who most need it. You should get the great majority of
your help in this course by coming to class, discussion sections, labs, and the
office hours that the TA(s) and I will give; it’s best to regard the modest
availability of individual tutoring as a last resort after these other
resources prove insufficient. If
you feel that you would benefit from individual tutoring, please see me to
request it.
A compilation
of the slides that will be used for this class can be found here. Come back often, there will be frequent
updates.
Tu
03/31 – Course
Info. Data types and
experiments. Chapters 1.1
to 1.3.
Th
04/02 –
Graphical summaries. Measures of central
tendency. Chapters 2.1 to 2.4.
Session – No Session.
Lab – No Lab.
Homework – No homework due.
Tu
04/07 –
Measures of dispersion. Exploratory data analysis. Definition of probability. Chapters
2.5 to 2.7 and 3.1 to 3.2.
Th
04/09 –
Probability. Chapter 3.3 to 3.4.
Session – 1.2: 17,18 / 1.3: 27, 30 / 2.2: 3,11
Lab – Data types
and introduction to JMP.
Homework – 1.2: 1,5,7,15,17,19 / 1.3: 1,3,5,7,21,23,27,31 / 2.2:
3,7,11,15 / 2.3:
16 / 2.4:
1, 5(a-c).
Tu
04/14 –
Conditional probability and Bayes rule.
Chapter 3.5 to 3.7.
Th
04/16 –
Discrete distributions: Binomial
and Poisson. Chapter 4.1 to 4.5. Out of town.
Session – 2.5: 7 / 2.7: 12 / 3.2: 5 / 3.3: 14,15,16 / 3.4: 10 / 3.5: 18
Lab – Exploratory
data analysis. butterfly.jmp
cereal.txt
Homework – 2.5: 1,3,9 / 2.6: 7,9 / 2.7: 1,3 / 3.2: 3,5,17 / 3.3: 9,11,13,15,17 / 3.4: 2,9,11
/ 3.5:
7,11,13,17,21,25,26.
Tu
04/21 –
Continuous distributions: Exponential
and Normal. Chapter 5.1 to 5.4.
Th
04/23 –
Sampling distributions. Central limit theorem.
Chapter 5.5 to 5.7.
Session – 4.3: 9,12 / 4.4: 5,12 / 4.5: 6
Lab – Probability
and discrete distributions.
Homework – 4.3: 3,5,11,13 / 4.4: 5,11,13 / 4.5: 5a,9.
Tu
04/28 –
Estimation population proportions and population means. Chapter 6.1 to 6.4.
Th
04/30 – Review.
Out of town.
Session – 5.3: 4,7 / 5.5: 4,7 / 5.6: 13
Lab – Mid quarter
review. cereal.txt
Homework – 5.3: 1,3,7,11,13,17 / 5.5:
1,3,5,7,11 / 5.6:
13,15,23.
Tu
05/05 – Midterm
(30%). Practice
midterm.
Th
05/07 –
Estimating population proportions and population means. Hypothesis testing. Chapter 6.1 to 6.4 and 7.1 to 7.2.
Session – 6.2: 28, 32 / 6.3: 22 / 6.4: 14, 24
Lab – Central
limit theorem.
Homework – 6.2: 27,31,35 / 6.3: 21,23 / 6.4: 13,17,19.
Tu
05/12 –
Hypothesis testing. Two-sampling hypothesis testing. Chapter
7.3 to 7.5 and 8.1.
Th
05/14 – More on
two-sample tests. Chapter 8.1-8.3
Session – 7.2: 5,8,10,11,33,35,38,40 / 7.3: 6,10 / 7.4: 9
Lab – Interval
estimation.
Homework – 7.2: 5,7,37,39,41 / 7.3: 5,17 /
7.4:
9,11.
Tu
05/19 –
Correlation and regression.
Chapter 8.4 and 9.1 to 9.3.
Th
05/21 –
Multiple regression. Chapter 9.4 to 9.5.
Session – 7.5: 2,3,7,12,19 / 8.2: 4,7 / 8.3: 11,23 / 8.4: 9
Lab – Hypothesis
testing. mercury.txt
Homework – 7.5: 17,21,25 / 8.2: 5,7,9,17,19 / 8.3: 11,15,21,23 / 8.4: 5,7,9
Tu
05/26 – Chi
square tests. Chapter 10.1 to
10.3.
Th
05/28 –
Analysis of variance. Chapter 11.1
to 11.2.
Session – 9.2: 4,11 / 9.3: 2,4,8 / 9.4: 9 / 9.5: 3,5,9
Lab – Linear
regression. anscombe.txt
mercury.txt
Homework – 9.2: 5,11,23 / 9.3: 1,3,5,9,13 / 9.4: 9,13 / 9.5: 1,2,4,5,6,7,8,9.
Tu
06/02 –
Analysis of variance. Chapter
11.3.
Th
06/04 – Review.
Session – 10.2: 5,11 / 10.3: 3,5,11 / 11.2: 4,8 / 11.3: 5,8,11
Lab – Goodness-of-fit,
regression and ANOVA. icecream.txt
hotdogs.txt
Homework – 10.2: 1,6,7,11,13 / 10.3:
3,4,11,15 / 11.2:
1,3,4,9 / 11.3:
8,9,10,11,12.
Th
06/11 - Final
exam (45%). Practice
final. Solutions to the practice final.