Dr. Sarah's Statistics Review Sheet for Mon March 19 Test
The exam will cover material on stocks through linear regression.
To study for the exam, review
relevant WebCT quizzes (quiz 5),
class notes, homework (including web based problems)
and labs on this material.
The exam will test
your skill at creating statistical representations,
your understanding of these representations
and your skill at communicating the related mathematical ideas in writing.
One 8.5*11 sheet with writing on both sides
allowed. Calculator is mandatory and straight edge is allowed.
Some of the questions will be similar to problems you have seen before.
There will also be some problems with new twists to test your
deep understanding of the material. Partial credit will be granted
as on the last test,
so, for example, you can receive full credit for part b) even if it depends
on part a) which you did incorrectly, as long as you communicate deep
understanding of part b) on your test.
Make sure that you can
create various statistical representations of data quickly and correctly
mean and median (such as Web Problem 3.1)
histogram (such as histograms on class data on miles from hometown)
boxplot (such as Web Problems 3.2, 3.3, 3.4, 3.5 and 3.6)
Make sure that you understand
what kind of information you can get from statistical
representations where you are not given the data. Make sure that you
understand how to deeply analyze various statistical representations
of data to give positive or negative advertising spins.
Make sure that you understand statistical common sense
in the context of the real life problem that we are working on
in order to critique statistical conclusions and predictions.
is being given out early to help you focus as we learn the material, and
because the development of these skills requires time and practice.
census and sampling lab and the circle problem
mean and median (Stock Stats lab, WebCT questions
and notes from class)
histogram (WebCT questions and notes from class)
boxplot (WebCT questions and notes from class)
pie chart (WebCT questions and notes from class)
standard deviation (WebCT questions and notes from class)
linear regression, including
what kind of predictor something is (see textbook p. 201),
what prediction the regression line
gives for x-values not on the graph (see Example 4.4 on p. 201-202),
and whether or not the prediction makes sense given the context of the
(see also Stock Stats lab, egg bungee lab, class notes,
Web based problems and WebCt questions).