500, "Statistical and Quantitative Analysis"
course presents important tools of descriptive statistics and their
effective use. It reviews crucial elements of probability theory and
builds on those elements to present important techniques of inferential
statistics, with particular emphasis on linear regression, both with
single and multiple independent variables. The course covers many
topics in multiple regression, including dummy variables, interaction
terms, curvilinear regression, and collinearity. Throughout the course,
stress is placed both on students a) using Excel to do statistical
analysis and b) providing explanations of the analysis they do.
A. It's fine to work
with others on homework, but write each answer and explanation on your
B. Begin each answer on a new sheet. If possible,
answer onto a single sheet. Handwritten answers are
fine, as long as they are legible.
C. Arrange each assignment sequentially, with each part clearly
example, Problem 1) should come before Problem 2) and
part 2)a) should come before part 2)b).
D. Show your work and present answers with three significant digits.
E. Present each numerical answer with a sentence. For example, rather
than "1/36," your answer might be, "The chance
of rolling a two is 1/36th."
F. Unless you are going to miss class, turn in homework on paper. If
you are going to miss class, email me the homework as an Excel
workbook before class begins.
Your answers should be on the first worksheet, formatted to print with
a single print command.
G. One important part of this class is numerical literacy. One aspect
of numerical literacy is writing well. Please try to
questions with complete, clear, gramatical sentences.
for the inferential statistics paper
exams for practice