T #5 Review
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School
Austin Community College District *
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Course
1332
Subject
Mathematics
Date
Jan 9, 2024
Type
docx
Pages
3
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MATH 1332
Review # 5
1.
Do you think that the following correlation is an example of coincidence, a common underlying
cause, or direct cause?
Whenever I wash my car, it rains.
2.
Would you expect a positive correlation, a negative correlation, or no correlation between the
variables number of cows and number of citizens who have earned a Ph.D.? Explain.
3.
Which best describes the shape of a unimodal distribution? (a) No peaks (b) One peak (c) Two
peaks (d) More than two peaks
4.
The scores on a mathematics test are: 52, 72, 73, 81, 78, 73, 69. Estimate the standard deviation
of the scores using the range rule of thumb. Compare this with the actual standard deviation.
5.
The table below shows the age distribution of US Representatives in Congress in 2005.
a.
If the data is quantitative, draw a histogram of the data and superimpose a line graph
over it.
If the data is qualitative, draw a bar graph.
b.
How many US Representatives were in Congress in 2005?
6.
If the data is quantitative, draw a histogram of the data and superimpose a line graph over it.
If
the data is qualitative, draw a bar graph with bars in
descending order
for the data in the table.
State
Population
California
35.9 million
Florida
17.4 million
Illinois
12.7 million
New York
19.2 million
Texas
22.5 million
7.
The film section of a newspaper lists 5 five-star films (the highest rating), 10 four-star films, 20
three-star films, 15 two-star films, and 5 one-star films.
Make a frequency table for the data,
from one-star to five-star.
Include a column for relative frequency and cumulative frequency.
8.
For the data given below:
a.
Make a frequency table.
Include columns for relative frequency and cumulative
frequency.
Use bins of 20-29, 30-39, 40-49, 50-59, 60-69, 70-79
b.
Draw a histogram and superimpose a line graph over it.
9.
If the data is quantitative, draw a histogram of the data and superimpose a line graph over it.
If
the data is qualitative, draw a bar graph.
State whether you believe the variables are correlated.
If so, is it positive or negative and is it
weak or strong?
a.
Height of a person and amount of pocket change
b.
Age and time spent watching cartoons
Use these 3 scatter diagram to answer the questions:
a. Does the diagram show positive correlation, negative correlation or no correlation?
b. If there is correlation, is it strong or weak?
10.
11.
12.
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