be given these pieces of information during the exam.
Material covered on the examination is all that was covered in class
through Monday February 24 and part of the lecture of February 26
(completion of the Geiger counter example). In terms of the text,
we have covered all of Chapters 1 and 2 (except Section 2.4),
and Section 3.6 on conditional pmfs, means, and variances, though
you might have noticed that there is more stuff in the lectures
than in the textbook. If you are following along in the Powerpoint
slides on the class web page, we have covered Lectures 00-08 and
11-14 thus far. Lectures 9-10 and 15-17 will be covered later
and are not included
on the First Hour Examination (except for the mean and variance
calculation for a binomial random variable that you will find
at the very beginning of Lecture 9).
Final Examination:
The Final Exam will be scheduled by the Campus as a Combined-Section Final. Do NOT
use the time shown in the Spring 2003 Timetable for classes meeting
on 10 MWF or 11 MWF.
- You are allowed to bring TWO 8.5" by 11" sheets of notes to the exam;
both sides of the sheets can be used.
Calculators, laptop computers, Palm Pilots and the like are not permitted.
- You are expected to know what is meant by
- a Bernoulli random variable with parameter p
- a binomial random variable with parameters (n,p)
- a geometric random variable with parameter p
- a Pascal or negative binomial random variable with parameters (r,p)
- a Poisson random variable with parameter (lambda)
- a random variable uniformly distributed on (a,b)
- an exponential random variable with parameter (lambda)
- a gamma random variable with parameters (t, lambda)
- a Gaussian random variable with mean (mu) and variance
(sigma)2
- a bivariate random variable (X,Y) uniformly distributed on a
region of the plane
and
- jointly Gaussian random variables with means (mu)x
and (mu)y respectively, variances (sigmax)2
and (sigmay)2 respectively, and correlation
coefficient (rho)
If you have forgotten the formulas for the pmf/pdf/CDF
or the mean and variance of these (or do not have them written down on your
sheets of notes,) you will not
be given these pieces of information during the exam.
A table of values of the unit Gaussian CDF will be supplied to you if
it is needed on the exam.
