Welcome to the Course Page of MATH 2030 3.00 A Elementary Probability Summer 2013 

Department of Mathematics and Statistics 

This area will contain announcements and solutions to
quizzes and midterm exam. Announcements made in class will be posted here in
reverse chronological order and will not be repeated in class. Please take a
minute to read the announcements carefully, as they often get updated. You may
need to Reload/Refresh this
page.
June 27: 
Please click here to see your final exam mark and unofficial 

letter grade for the course.
Also, please note that your official 

grade
for the course will be sent to you by the Registrar's 

Office upon the approval by the faculty. 

HAVE A WONDERFUL SUMMER! 
June 19: 
Please click here to see your term scores for the course. 

Please
note that both tests will be counted out of 50. 
June 18: 
As it
was announced in the last class, I am making available the final 

exam formula
sheet. 
June 15: 
I am making available solutions to Homework problems from 

Sections 2.4 and 3.5. 
June 14: 
As it was announced in the class yesterday, the Final Examination 

for the course will take place on Thursday, June 20, from 19:00 to 

22:00 in CLH D. 

The exam will be comprehensive, covering the entire course material 

that we covered in class from Appendix 1, Sections 1.11.6, 2.1, 2.2 

2.4, 2.5, 3.13.6, 4.1, 4.4, 4.5 and 6.4 of the textbook according to 

the Course Schedule, but with an emphasis on more recent material 

covered after the second test. If less common formulae are needed 

on the exam, then those formulae will be provided on the exam. 

There will be several questions, some with a few parts. Marks for 

each question will be indicated. You have to show all your work, 

and you should explain your solutions where appropriate. 

Unofficial final grades for the course will hopefully be posted to 

the course web page by Friday, June 28. 

Please also note that I will be holding an additional office hour for 

last minute questions on Tuesday, June 18 from 16:00 to 17:00. 
June 11: 
I am making available solutions
Test #2 questions.
Please note that 

the
graded test papers will be ready to pick up on Tuesday, June 18. 

Homework problems for Sections 2.4, 3.5 and 4.2: 

Section 2.4: # 5; 6(a),(b); 7(a),(b),(c),(d),(f); 

Section 3.5: # 4; 9; 10; 11; 

Section 4.2: # 1; 4. 
June 07: 
I am making available solutions to
Homework problems from 

Sections
3.2 and 3.3. 
June 06: 
As it
was announced in the class today, we will write Test #2 at 

the first half of
the class on Tuesday, June 11. On the test you will 

be
responsible for all the material that was covered in class from 

Sections
2.1, 2.2, 2.5, 3.1, 3.2, 3.3, 3.4, 3.6, 4.1, 4.4 and 4.5 

of the textbook. 
June 05: 
As it was promised in the class yesterday, I am making available


solutions to Homework problems from Sections 2.2, 4.4
and 4.5, and 

Part V
of Professor Salisbury’s Lecture Notes. 
June 02: 
Please note that the student course evaluations are available
online 

at the URL link: http://courseevaluations.yorku.ca until
Tuesday, 

June 18, 2013. It is
the time for you to be the judge. Please go 

online and complete the
course evaluation. 
May 29: 
Homework problems for Sections 3.2, 4.1 and 3.3: 

Section 3.2: # 5; 8; 11; 13(a),(b),(c),(e); 14; 

Section 4.1: # 3(e); 4(a),(b),(c); 9; 

Section 3.3: # 2, 3, 5, 17, 20, 23. 

I am making available Part IV of Professor Salisbury’s Lecture Notes. 
May 28: 
I am making available solutions
to the questions of white and green


versions of Test #1. Please note that the graded test papers will be 

returned in the class on Thursday, May 30. 
May 24: 
Homework problems for Sections
2.1 and 2.2: 

Section 2.1: # 2, 6, 7; 

Section 2.2: # 6, 8, 9, 12. 
May 20: 
As it
was announced in the class on Thursday, we will write Test #1 

at the first half
of the class on Thursday, May 23. On the test you will 

be
responsible for all the material that was covered in class from Sections 

1.1,
1.3, 1.4, 1.5, 1.6 and Appendix 1 of the textbook. On the test you 

will
also be responsible for the material that we started covering on 

Thursday’s class and that I am planning to finish on Tuesday’s class on: 

Representing discrete and continuous distributions (Section 3.1, pages 

140141 and Section 4.1, pages
259271); 

Cumulative distribution functions (c.d.f.) and their relation with densities 

and discrete distributions (Section 4.5); 

Using c.d.f.s to compute distributions of transformed random variables 

(Section 4.5, pages 320323). 

Homework problems for Sections
3.1, 4.1, 4.4 and 4.5: 

Section 3.1: # 9; 

Section 4.1: # 2(a);
3(a),(b),(c),(d); 12(b); 

Section 4.4: # 4; 10(b); 

Section 4.5: # 2(a); 5; 6(a),(b),(c). 
May 19: 
I am
making available solutions to Homework problems from 

Sections
1.4, 1.5, 1.6 and Part III of Professor Salisbury’s 

Lecture Notes. 
May 16: 
I am making
available solutions to Homework problems from 

Appendix
1 and Sections 1.1, 1.3. 
May 12: 
Please note that Tutorials for the course will be done in MathLab, 

S525
Ross Building, which is open throughout the
term: 

MondayThursday from 11:00 to 13:00 and from 15:00 to 17:00. 

I am making available Part II of Professor Salisbury’s Lecture Notes. 
May 08: 
As you asked in the class yesterday, I am making available Part I of 

Professor Salisbury’s Lecture Notes. 
May 07: 
Welcome back! 

To view and/or print PDF files you need to download the free Acrobat Reader 

Homework problems for Chapter 1 and Appendix 1: 

Section 1.1: # 2, 3, 7; 

Section 1.2: #2, 3; 

Section 1.3: # 4, 5, 6, 9, 10; 

Appendix 1: # vii, viii, x, xi, xii, xiii; 

Section 1.4: # 4, 5, 6, 7, 8, 12; 

Section 1.6: # 4, 6, 7, 8; 

Section 1.5: # 2, 3, 5 (a)(d). 
Course: 
Session: 
S1
2013 

Section: 
A 

Lectures
(day, time and venue): 
T/R
18:021:00, CLH E 
Instructor: 
Name: 
Dr.
Iulduz Raguimov 

Office: 
S512
Ross 

Email: 


Phone: 
4167362100,
EXT. 66092 

Office
Hours: 
TR 16:00 –
17:00, also by appointment 
Grading: 
Two
Class Tests: 
45% 

Final
Examination: 
55%

Course Description: Introduction to the theory of probability as preparation for further study in both mathematical or applied probability and statistics. Topics include probability spaces, conditional probability, independence, random variables, distribution functions, expectations, Chebyshev's inequality, common distributions, momentgenerating functions, laws of large numbers and limit theorems.
This course provides an introduction to the theory of probability. It covers the mathematics used to calculate probabilities and expectations, and discusses how random variables can be used to pose and answer interesting problems arising in nature. It is required for most programs in Mathematics and Statistics, or in Computer Science. Subsequent courses that use the material covered include mathematical statistics, operations research, mathematical finance, stochastic processes as well as advanced courses in probability.
For a more detailed list of topics with references to the textbook, please see Course Schedule.
Textbook: 
Probability, First Edition 
by
Jim Pitman 


SpringerVerlag, 1993. ISBN 0387979743 
Course
Prerequisites: 
One
of SC/MATH 1010 3.00, SC/MATH 1014 3.00 or SC/MATH 1310 3.00. 
Degree
Credit Exclusions: 
None. 
Important
Dates: 
May
07: Classes
commence 
May
10: Last
date to enrol in the course without my permission 

May
17: Last
date to enrol in the course with my permission 

May
31: Last
date to drop the course without receiving a final grade 

June
14: Classes
end 

June
1921: Final Examination, TBA. 
WEEK 
SECTIONS 
COMMENTS 
May
610 
1.11.4,
Appendix 1 
Lectures
begin Tuesday, May 07. 
May
1317 
1.6,
1.5, 3.1, 4.1, 4.5 

May
2024 
2.12.2,
3.2, 4.1 
Test
#1 will take place on Thursday, May 23. 
May
27 31 
3.3,
3.4, 2.5, 3.6 

June
39 
3.1,
3.3, 2.4, 3.5 

June
1014 
3.1,
6.4, Review 
Test
#2 will take place on Tuesday, June 11. 
June
1921 
Final Examination 
TBA. 
Note 1: Not all topics of the sections above will be covered and
it is not necessary that we will cover the topics in the same order as the
textbook presents them.
Note 2: It
is recommended to read the relevant sections of the textbook before every
lecture.
Throughout the term, homework problems will be
posted to the Announcements section of
the course web page. In order to develop your understanding of the course
material you must do all assigned problems. These will not be collected for
grading and hence will not directly affect your grade. However, it is extremely
important that you
complete all assigned exercises. Do not memorize them. Rather, learn how to
solve problems like them. Learning Mathematics is not a spectacular sport, it
is a participatory event. There is nothing like a bit of computation to
strengthen understanding in mathematics! Use the Solutions Manual only after you have tried
the problem. Solutions to typical homework problems will be posted to the
course web page. Successful students must keep up with homework and seek help
for points they do not understand as soon as possible. Do not fall behind! It
is recommended to read the relevant sections of the textbook before every class. Next to the
classes, working out the answers to the problems is the most important
preparation for the tests and exam that will contain for the most part but not
exclusively, questions very similar to those from the textbook. It is quite
practical to work on your own or together in small groups. Each student should do at least two hours of independent
study for every lecture hour. The amount you learn in this course and the
grade you receive will be proportional to the amount of time you spend working on problems.
Please turn off all cell phones,
iphones, ipods, ipads and pagers before entering the lecture hall.
For the tests and exam cell phones, iphones, ipods, ipads, calculators,
digital dictionaries, palms, pagers or any other internet connected devices are
NOT allowed. All such devices as well as all books, papers, knapsacks and
briefcases must be left at the front of the lecture hall. Anyone caught with
electronic devices will be charged with Academic Dishonesty (see the next
page). The only items you may have at your seat are pens, pencils, student ID
and purses. You are responsible for all material covered in lectures.
Note: Photo identification and signingin are required
at all tests and exam.
The official grades at York University are LETTER
grades. Qualitative descriptions of these grades can be found
in the York Calendar at this link.Your test marks will be on a numerical
scale because these have to be weighted and averaged in various ways, but THERE IS NO AUTOMATIC
PREDETERMINED CORRELATIONS BETWEEN NUMERICAL GRADES AND LETTER GRADES in this course. In particular, the
"numerical" grades you
receive are NOT to be interpreted as percentages; they are merely 'raw scores'. Once the tests are returned in
class, the distribution of 'raw scores'
will be announced along with
their approximate conversion to letter grades.
The median letter grade for
the course will likely fall between C and C+.
The composition of the final
grade is as follows:
Two class tests (75 minutes each, written tests held in lecture periods):
25%+20% of the overall grade (Tentative dates for the tests: Thursdays, May
23 and Tuesday, June 11, 2013).
Final examination (3hour exam scheduled by the Registar's
Office): 55% of the overall grade, will take place
during the examination period between June 19 and 21, 2013.
Note: Students have five days from the date of the return of test
papers to appeal their marks. Some test papers (randomly selected) are
photocopied before they are handed back, so we can detect subsequent
alterations.
Makeup
Policy:
No permission will be given to
a student to write the tests in advance of their scheduled dates. No makeups
will be done for the tests. A missed test will be counted as zero, except under
extreme circumstances in which case the corresponding percentage of the overall
grade will be "forwarded" to the final exam. If you miss a test for
medical reasons, you must turn in within one week following the test date the
Attending Physician's Statement form provided here after getting it filled in by your doctor. No
other type of medical note will be accepted. However, missing tests is
extremely dangerous and not recommended. As experience has shown, students who miss
class tests because of some 'mysterious illnesses' will usually average 30% on
the final exam. A student who misses the final examination will be allowed to
write a makeup exam only if both of the following conditions are met:
1) the student notifies me (raguimov@mathstat.yorku.ca)
or the Department of Mathematics and Statistics (Undergraduate Office, N502/503
Ross Building, 4167362100 4167362100, Ext. 55902 or 33969) in advance that
the exam will be missed,
2) the student submits within one week following the exam date the Attending
Physician's Statement form provided here after getting it filled in by his/her doctor.
Students who miss the final examination and do not meet both conditions will
receive a grade of F. It is student's responsibility to fill out and submit the
Deferred Standing Agreement Form.
Note: Do not make
vacation/job plan until the final exam date is known: having a plane ticket for
Banff or Hawaii on June 15 is NOT a legitimate excuse for
absence from a final examination on June 21.
Religious Observance:
York University is committed to
respecting the religious beliefs and practices of all members of the community
and making accommodations for observances of special significance to adherents.
If any of the dates specified in the course schedule for in the tests pose such
a conflict, students should contact me (raguimov@mathstat.yorku.ca)
within the first two weeks of classes. Please note that if the final exam date
poses a conflict, students must complete the Examination Accommodation Form,
which can be obtained from the Registrar’s Office.
Academic Honesty:
Students are responsible for familiarizing
themselves with University Policies and Regulations. Conduct that violates the
ethical or legal standards of the university community or of one’s programme or
specialization may result in serious consequences. Refer to the Senate Policy
on Academic
Honesty.
Individual questions can be discussed by email, or in person after class, or during office hours.
Please send all email notes as plain text within the body of the message. Do
not send attachments or HTMLformatted mail. Also, if the name of your account
is an alias, I will not know who the mail is from unless you sign it; it also
risks being accidentally discarded as junk mail. The course web page will be
updated regularly to include important announcements made in class, such as
the material to be covered on the exams and quizzes. Email notes requesting
such information contained on the web page will be answered the last.
1 York Undergraduate
Mathematics Program
2 York
University Library
3 Online Forum
4 How To Write Proofs
5 Local
time in Toronto
Questions and comments regarding this Web page
please send to raguimov@mathstat.yorku.ca
© 20032013, All Rights Reserved, York University & Iouldouz S.Raguimov
Last updated June 27, 2013