Up: Stat 3011
Stat 3011 First Midterm ExamOctober 18, 1999
Name Student ID
The exam is closed book. You may use a calculator, and one
by 11 sheet of paper with formulas (or anything else) on it, but no other
notes. Put all of your work on this test form (use the back if necessary).
Show your work or give an explanation of your answer. No credit
for numbers with no indication of where they came from.
The points for the questions total to 100.
There are
pages
and 6 problems.
- [20 pts.]
The following data are household incomes for 10 households in
thousands of dollars
- Calculate the sample mean for these data.
- Calculate the sample median for these data.
- Calculate the 10% trimmed mean for these data.
- Give one good reason why the mean is not as good
an estimate of the ``center'' of the data as the median
or the trimmed mean.
- [10 pts.]
Explain what the phrase ``correlation is not causation'' means, and
explain what this implies about linear regression.
- [15 pts.]
The following is a frequency distribution
table for weights of widgets in ounces for a sample of size 100.
Only the first two columns filled in.
| |
|
|
Cumulative |
| Class |
Frequency |
Relative Frequency |
Relative Frequency |
 |
20 |
|
|
 |
30 |
|
|
 |
40 |
|
|
 |
10 |
|
|
- Fill in the last two columns of the table: relative frequency and
cumulative relative frequency.
- Draw a histogram using these class intervals. Include correct
axes and axis labels.
- [20 pts.]
Suppose the scores on the first and second midterms in a Stat 3011 class
had the following summary statistics
| |
mean |
standard deviation |
| first midterm |
85 |
6 |
| second midterm |
83 |
8 |
and the correlation between first and second midterm scores was 0.6.
- Find the equation of the least-squares regression line for predicting
the score on the second midterm from the score on the first midterm.
- Use the regression equation to predict the second midterm score for
a student who got 80 on the first midterm.
- What is the fraction of variance explained by this regression?
- [15 pts.]
Suppose the probability a Cheapo brand 100 watt light bulb lasts
more than 1000 hours before burning out is 0.25, and suppose
light bulb failures are statistically independent. Suppose I install
four such light bulbs in my house.
- What is the probability all four last more than 1000 hours?
- What is the probability at least one lasts more than 1000 hours?
- [20 pts.]
Let z be a random variable with a standard normal distribution.
- What is
P(z < - 2.345)?
- What is
P(.67 < z < .89)?
- What is the 20th percentile of the standard normal distribution?
Up: Stat 3011
Charles Geyer
1999-12-03