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STA 257 -- Probability and Statistics I -- Fall 2002

Unofficial final marks for the course are here. They are sorted by the last 5 digits in your student number.

Term Test:
There will not be any adjustment to the grades.
Summary statistics for grades:
Mean: 46.8/70=67%
Median: 49/70=70%
Standard deviation: 13/70=18.6%
Maximum: 70/70=100%
Term test solutions in pdf

Marks for the term test and first 9 quizzes are here. They are sorted by the last 5 digits in your student number. Students whose mark is a dot did not write the test/quiz. A mark of 999 indicates that valid documentation was received for a missed test. Two tutors had not yet recorded the grades for quiz 9 for their tutorials. For these students, their quiz 9 grade is currently recorded as 111.

Course outline in pdf

Lecture notes:
A copy of the overhead transparencies from Lecture 2 on is available in short-term loan at the Gerstein Library effective Friday, September 19. Ask for the lecture notes for STA257. A copy of the textbook can also be borrowed for 2 hours from the short-term loan desk. Ask for call number 178 for the text and 179 for the student solutions manual.

Where else you can get help with the course material (until Friday, December 6):

Additional office hours before the exam:

Monday, December 9:
10:00-12:00 A. Gibbs SS 6026E
1:00-4:00 Mohammed S. SS 2101

Tuesday, December 10:
10:00-12:00 A. Gibbs SS 6026E
12:00-2:00 Shuying SS 2120
2:00-5:00 Xiaobin SS 2120

Wednesday, December 11:
2:00-4:00 Yan SS 2120

Hanna and/or John will be in New College 55B on Monday, December 9 from 9:00 to 1:00 and Wednesday, December 11 from 9:00 to 4:00

Practice problems:

Statistics hand-out for material covered in last week of classes
Solutions to problems on statistics hand-out
Corrections to solutions of statistics hand-out:
#5: g'(s)=2(n-1)s/sigma^2, i.e. the s should not be squared in the derivative. The rest of the solution is correct.
#6(b): Should get 4p(1-p)>n/(1+2n) (the "2" is missing in the original solution). Note that n/(1+2n) is now not equal to 1 for large n, however the diagram is still correct, and the parabola is still above the x-axis for p near 1/2, so the answer is still the same.

Practice term tests:

The following two term tests (in pdf) were given in 1996 when I last taught this course. They give an indication of the level of difficulty that can be expected on the test on October 28.
Term Test 1 from Summer, 1996
Solutions to Term Test 1 from Summer, 1996
Term Test 2 from Summer, 1996
Solutions to Term Test 2 from Summer, 1996
Corrections to solutions: #4 The second covariance on the 4th line should be Cov(X_1,X_3) NOT Cov(X_2,X_3).
The term test on October 28, 2002 will include the material covered on test 1 from 1996 and the first 3 questions on test 2 from 1996.

Practice final exam:

The following exam was given in 1996 when I last taught this course.
Final exam from Summer, 1996
Solutions to final exam from Summer, 1996
#14 uses Markov's inequality (not Chebyshev's).

Formulae that will be provided on final exam (December, 2002)
Note that a geometric random variable can be defined in two ways: as the number of failures before the first success, or as the trial number on which the first success occurs. The probability function on the formula sheet is for the first way, your textbook uses the second way. Any questions on the exam using the geometric distribution are very clear about what the random variable is measuring in relation to the probability function.

E-mail course instructor: