Section 102 (11am) 

Wednesday, August 26, 2009:  No section-specific information to report yet.   The three sections are quite closely linked, so I anticipate that most (but not all) information will end up on the general course page, not this section-specific page.  PG.


Thursday, September 10, 2009: I've started posting lecture slides - see the link on the left. PG.

Tuesday, September 15, 2009:  I've started posting (at the bottom of the page) a course commentary which links the lecture content to the textbook sections.   

Tuesday, October 13, 2009:  All information about the midterm exam is on the main course page (common to  all sections), although the actual exam is different for each section.     Any information about the exam which is specific to Sec. 102 will be posted here if/as it arises.

Monday, November 2, 2009:  Here is the midterm exam and the solutions.  After looking at the solutions, if you think there is a grading error on your exam, attach a note to it explaining what you think is wrong (don't write on the exam itself) and return it to me for re-consideration. 

Please be reminded that altering a graded exam and then requesting regrading is a serious academic offence.  We have photocopied a random sample of the graded exams - so if  you request a regrade your exam may be checked against a photocopy to rule out alteration.   

Friday, November 13, 2009: as posted earlier on the main course site, any grading queries about the midterm must be received by Nov. 20, and any for assignment #2 must be received by Nov. 27.



*** COURSE COMMENTARY ***

Here is the course commentary, linking the lecture slides to sections in the text.    There are two general principles here.  

1. For the listed sections of the text, you are responsible for all the material in the section, except for topics explicitly mentioned as `exclusions' below.

2. What we talk about in lecture comprises the main and most important ideas, and the exams in the course will reflect this emphasis.  But particularly because the lecture time is shortened by the use of clickers, there will be some material in the text for which you are responsible `on your own' (i.e., not explicitly mentioned in lecture).  These will be secondary details, not primary concepts.


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Text 1.0, 1.1 (excluding time plots), 1.2:  Lectures 1.3 and first part of 2.1.
(We will cover 1.2 and parts of Ch. 2 later on)

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Text 3.0: Second part of Lecture 2.1
Text 3.1: Lecture 2.2
Text 3.2: Lecture 2.3
Text 3.3: Lecture 3.1
(In Ch. 3 the concept of randomization is important, and you might need to carry out randomization via software or a random-digit table on an assignment or in the lab.    You aren't expected to use a random-digit table on an exam though.)

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Text 4.0, 4.1, first part of 4.2: Lecture 3.2
Remainder of 4.2, conditional probability from 4.5: Lecture 3.3
Remainder of 4.5 (except tree diagrams excluded): Lecture 4.1
Also note in Lecture 4.1 we discussed the "prosecutor's fallacy" - which connects to "Bayes rule."  You wouldn't be expected to reproduce those specific probability calculations on an exam.  But understanding such probability calculations, and what they can say about the world, is important.

Text 4.3 (but discussion of normal distribution yet to come): Lecture 4.2
Normal distribution, as discussed in 1.3 (but quantile plots excluded) and 4.3: Lecture 4.3
Text 4.4: Lectures 5.1 and 5.2

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Text 5.1: Lectures 5.3 and 6.2.
Text 5.2: Lecture 6.3
More `fleshing out' of 5.1 and 5.2: Lecture 7.1

**** MIDTERM CUTOFF ***

Text 6.1: Lecture 8.1
Text 6.2: Lectures 8.2 and 8.3
Text 6.3 and 6.4: Lecture 9.1 - note: 6.3 is worth reading, but we only touched on part of it in class (significance versus importance), so only that part of it is examinable.

Text 7.1 (sign test excluded): Lecture 9.2
Text 7.2: Lectures 9.3 and 10.1

Text 12.1: Lectures 10.3 and 11.1

Text 2.1 and 2.2: Lecture 11.2
Text 2.3 (excluding "r-squared" discussion): Lecture 11.3
Text 10.1, and bits of 10.2 (excluding r-squared, ANOVA  and F-test for regression, test for correlation): Lectures 12.1 and 12.2

Text 2.5, 9.1, 9.2: Lectures 12.3 and 13.1

THE END!   Lectures 13.2 and 13.3 are `review for exam'
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Department of Statistics

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