Course Main Page; Stat 340; Fall 2009
Introduction to Probability and Statistics - I
Instructor: Elizabeth Thompson
Email: eathomp at u.washington.edu
Time: W 11.30-12.20, F 11.30-1.20;
Place: MOR 230 (W); LOW 102 (Fr) (Provisional)
Teaching Assistant: Nick Basch
Email: nbasch at u.washington.edu
Time and place: M 11.30-12.20, MOR 230;
ALL INFORMATION IS CURRENTLY PROVISIONAL
Always check the Schedule.
It contains links to many things.
If you cannot click on any link, it probably means it is old
stuff, not yet updated for 2009. If you think this is an error, please
Nick Basch will likely take the class (most) Mondays; this will be
the "Quiz-session" for the class.
This Quiz-section is an integral part of the class, and you will likely find
doing the quiz-section examples with Nick one of the most helpful things
in learning to apply the ideas and methods of the Lecture Notes.
Homeworks will be due at start of class on Wednesdays, and are expected to be
returned the following Monday.
Elizabeth Thompson: PDLFD C317; Tues, Thurs 2.00-3.15
Or, email me for an appointment, or see me briefly after class.
Nick Basch: Mon 12.30-1.30 PDLFD B307; Tues 1-2
McCarty Study Center
The book is Kelly, Introduction to Probability, Prentice-Hall (1994)
There is only one edition; it is possible the paperback edition may have
a different date, but they are all the same -- just reprintings.
Provisionally, homeworks are due Wednesday, before class.
Late homeworks will be penalized, except in exceptional circumstances.
Otherwise it is too hard on the TA, and delays homework returns for all.
Note your Homework grade is based on a "drop one";
i.e. best (n-1) out of n where n probably is 9.
Minimum standards for written work
Your homework must be easily readable.
Show your work and justify your answers.
Your name must be indicated clearly.
Staple your homework pages together in the correct order.
Exams and Grading
There will be two midterms (probably ???).
If due to illness or other genuine emergency you
miss one midterm, your score will be figured from the other midterm and
your final. If absences due to illness (e.g.H1N1) are longer than one week,
extra accommodations regarding homeworks and exams can be made.
Your overall score will be converted to a grade via a monotone increasing
but non-linear function.
Grades will surely range from 2.0 to 4.0.
The top scoring student(s) will obtain a 4.0 grade.
If you score less than 50% you will likely get below a 2.0.
Note: Oct 26: Each student's own scores for Homeworks 1,2,3 and for
Midterm-1 have been made available to them through Catalyst Gradebook.