Course Main Page; Stat 341; Winter 2010
Probability and Statistics - II

ALL INFORMATION IS CURRENTLY PROVISIONAL

Introducing the new 340-341-342 sequence: see the Stat340 Course annoucement

Course text

The book is Larsen and Marx, An Introduction to Mathematical Statistics and its Applications, 4 th. edition (2006), Pearson/Prentice-Hall-- hencefoward abbreviated LM. The focus of Stat341 is Estimation. This is Chapter 5 in LM, but of course we will also cover parts of other chapters, both earlier and later in the text.

From Stat 340, or your previous Probability class, you will be assumed to be already familiar with the material in LM 2.1-2.7, LM 3.1-3.6, LM 4.1-4.5. For more detail, consult the notes and other material on the Fall 2009 Stat 340 Schedule page..

Announcements:

Always check the Stat341 Schedule. It contains links to many things.

If you cannot click on any link, it probably means it is not yet updated. If you think this is an error, please email me.

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.

Office Hours (provisionaal)

Elizabeth Thompson: PDLFD C317; Tues, Fri 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

Homeworks

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.

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.