**Lectures:** Mondays, Wednesdays and Fridays - 9:30am in WMC3520 (Sept 3/13 - Dec 2/13)

**Office Hours:** Mondays, Wednesdays and Fridays 10:30-11:30, Sept 13/13 - Dec 15/13)
Make use of office hours - only send email
in emergencies.

**Extra Help:** The Statistics Workshop
(www.stat.sfu.ca/teaching/workshop.html)
is run by
Robin Insley
and he can be contacted through email at insley@sfu.ca.
The Statistics Workshop is
an excellent resource for STAT 270. The workshop is open
long hours (Sept 13 - Dec 15 from 9:30 to 16:30) and is located one floor below the Department of
Statistics and Actuarial Science (K9516 via K9510). In the workshop, teaching assistants
(graduate students in Statistics)
are able to help you with problems in the course.

**Textbook:** ``Introduction to Probability and Statistics''
by Tim Swartz (ISBN: 978-1-256-15290-3).
The custom softcover text by Pearson Learning Solutions is available in the SFU Bookstore. It is
inexpensive and was written primarily to save you some money;
our previous textbook sold for $238.
There are some typos in the text; click
here for a list of typos, and update your text accordingly.

**Reference Textbooks:** There are a lot of introductory
mathematical statistics textbooks out there. Most of these can provide you with
a different perspective and extra practice problems.
For example, you might consider
Probability and Statistics by Devore (any edition),
Introduction to Mathematical Statistics
by Hogg/Craig or Mathematical Statistics by Freund/Walpole.

**Computing Software Packages:** Your choice: e.g. R, SAS, SPSS (R will
be used in class)

**Approximate Course Timeline:**

- Weeks 1,2: Part I - Introduction and Descriptive Statistics (Chapters 1-2)
- Weeks 3-9: Part II - Introductory Probability (Chapters 3-5)
- Weeks 10-13: Part III - Introductory Statistical Analysis (Chapters 6-7)

**Practice Problems:**
The textbook contains many worked-out problems and solutions to selected
exercises.
It is advised that you try a few
exercises each week.
Practice problems will be selected from the textbook but these
will not be collected nor graded.

**Evaluation:**

- Midterms (44%): Sept 23, Oct 21, Nov 4, Nov 25 (all mondays)
- Final Exam - (56%): Sunday December 8, 12:00-15:00

The style of the midterms closely resembles problems considered during class. The content on a midterm may include anything covered since the previous midterm. You should bring a calculator to every midterm. The purpose of regular testing is to keep you on top of the material. Please see the marker (a TA in the workshop) regarding concerns about the marking. If you are unhappy with the marker's decision, you should then see Robin Insley. My insistence on having you deal with the marker is to strive for consistency in marking. For all midterms, you should bring in a calculator. Any type is permitted (except a phone).

**Strategies:**
Because of the many different ideas introduced in STAT 270,
students often find this to be a difficult course.
My main suggestion
for the course is to avoid
falling behind. It is almost impossible to cram for this course
and do well. Make use of the fine resources of the Statistics
Workshop and regularly try the problems in the text to check
your understanding of the course material.
With the lecture material tied so closely to the textbook,
it may be tempting to skip classes. Naturally,
my advice is to attend all lectures; hints are often given in
class that will be helpful in the midterms and the final exam.
Also, more time is spent on topics that typically cause difficulties.
Finally, if you can find some time to read the textbook and lecture notes
before coming to class, you will find that the lectures are
more easily digested and you will be aware of the difficult parts
and know when it is important to pay close attention.

**Lecture Notes:**
The following lecture notes should be printed out and brought
to class. You will most likely annotate the notes during the lecture.
The idea of the notes is that you can listen to the instructor rather than copying frantically.
Again, it is a bad idea to skip lectures thinking that the textbook and lecture notes
will allow you to figure things out for yourself.
Instead of downloading the notes lecture by lecture,
all of the notes are bundled together
here
.
Also, the lecture notes are closely tied to the textbook;
it is much easier to come to class and listen rather than figuring
everything out on your own. Don't blow off the lectures!

- Lecture 01 - the ``hello lecture'' which essentially provides the webpage information

- Lecture 02 - roughly corresponds to sections 1.1 and 1.2 of the text

- Lecture 03 - roughly corresponds to sections 2.1, 2.2 and 2.3.1 of the text

- Lecture 04 - roughly corresponds to sections 2.3.2 and 2.4 of the text

- Lecture 05 - roughly corresponds to section 2.5 of the text

- Lecture 06 - roughly corresponds to related material in Chapter 2, sections 3.1 and 3.2 of the text

- Lecture 07 - roughly corresponds to sections 3.3 and 3.4 of the text

- Lecture 08 - roughly corresponds to sections 3.4 and 3.5 of the text

- Lecture 09 - roughly corresponds to sections 3.5 and 3.6 of the text

- Lecture 10 - roughly corresponds to section 3.6 of the text

- Lecture 11 - roughly corresponds to sections 3.6 and 4.1 of the text

- Lecture 12 - roughly corresponds to sections 4.1 and 4.2 of the text

- Lecture 13 - roughly corresponds to sections 4.2 and 4.3 of the text

- Lecture 14 - roughly corresponds to sections 4.3 and 4.4 of the text

- Lecture 15 - roughly corresponds to section 4.4.1 of the text

- Lecture 16 - roughly corresponds to a review problem from Chapter 4, intro to Chapter 5 and section 5.1 of the text

- Lecture 17 - roughly corresponds to sections 5.1 and 5.2 of the text

- Lecture 18 - roughly corresponds to sections 5.2 and 5.2.1 of the text

- Lecture 19 - roughly corresponds to sections 5.2 and 5.2.1 of the text

- Lecture 20 - roughly corresponds to sections 5.2, 5.3, 5.4 and 5.4.1 of the text

- Lecture 21 - roughly corresponds to sections 5.4.1 and 5.5 of the text

- Lecture 22 - roughly corresponds to section 5.5 of the text

- Lecture 23 - roughly corresponds to sections 5.5 and 5.6 of the text

- Lecture 24 - roughly corresponds to sections 5.6 and 5.7 of the text

- Lecture 25 - roughly corresponds to sections 5.5, 5.6 and 5.7 of the text

- Lecture 26 - roughly corresponds to section 6.1.1 of the text

- Lecture 27 - roughly corresponds to sections 6.1.1, 6.1.2 and 6.2 of the text

- Lecture 28 - roughly corresponds to section 6.3 of the text

- Lecture 29 - roughly corresponds to sections 7.1 and 7.2 of the text

- Lecture 30 - roughly corresponds to section 6.4 of the text

- Lecture 31 - roughly corresponds to sections 6.3, 7.1 and 7.2 of the text

- Lecture 32 - roughly corresponds to section 7.3 of the text

- Lecture 33 - review

- Lecture 34 - review

**Some Old Midterms and Solutions:**

- Midterm#1 and Solutions - page1 page2
- Midterm#2 and Solutions - page1 page2
- Midterm#3 and Solutions - page1 page2
- Midterm#4 and Solutions - page1 page2 page3

**Another Set of Old Midterms and Solutions:**