Practice Exam 1
Name_______________________________
STAT 1100, Fall 2007
Instructor: Juan Carlos RodríguezRaga
This is a
closedbook
exam.
You are allowed to use a calculator and one twosided sheet of notes.
There are 23 problems, with point values as shown.
Parts of problems do not necessarily receive equal
weight.
If you want to receive partial credit for incorrect answers, show your work.
Don’t spend too
much time on any one problem.
When necessary, round your final answer to
four
decimals.
(5)
1.
A marketing executive wishes to determine the effectiveness of advertising on consumer
demand.
The independent (or explanatory) variable in this study is
a.
the amount spent on advertising.
b.
the number of businesses in the study.
c.
consumer demand.
d.
the stimulus.
(5)
2.
Chebysheff
’s Theorem states that the percentage of measurements in a data set that fall within
two standard deviations of their mean is
a.
75%.
b.
at least 75%.
c.
89%.
d.
at least 89%.
(5)
3.
You want to draw a graphical display showing the number of individuals in each category of a
nominal
variable.
You should construct a
a.
bar chart.
b.
scatterplot.
c.
histogram.
d.
stemandleaf display.
(5)
4.
You want to graphically depict the relative frequency of classes of a set of
interval
data and
also (simultaneously) display the values of the individual observations.
You should construct a
a.
bar chart.
b.
scatterplot.
c.
histogram.
d.
stemandleaf display.
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(5)
5.
When collecting data from the class, I asked each student to provide the number of siblings in
his or her family.
The data collected were
a.
nominal (but not ordinal) data.
b.
ordinal data.
c.
interval data.
d.
bivariate data.
Use the following information to answer questions 6 and 7:
The Office of Research at University X wants to know what the university faculty think about course
evaluations by students.
To find out, they distribute a questionnaire, on a randomly selected day, to the
60 faculty members who are eating lunch at the Faculty Club.
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 Spring '08
 Rodriguez
 Statistics, Least Squares, Probability, Standard Deviation, a. b. c.

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