STAtistics / Mr. Hansen |
Name: _______________________________________ |
11/24/2009 |
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Test on Regression and Probability (CFU)
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Year |
$/MB |
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1979 |
1000 |
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1988 |
20 |
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1993 |
2 |
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2009 |
.0001 |
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1. |
Fit a line to the time series scatterplot of
“number of megabytes per dollar.” [Note:
This is different from the column shown. Good thing this was only a practice
test!] Show points, LSRL, and equation. |
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2. |
Plot residuals for #1. |
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3. |
Find (a) an exponential
regression and (b) a power regression equation for your scatterplot
in #1. |
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4. |
Which fit is best for #1:
linear, exponential, or power? Justify
your answer. |
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5. |
We will draw 2 cards, with
replacement, from a well-shuffled deck. In other words, the deck will be
shuffled thoroughly between the draws, and each card will be drawn from a
pool of 52. Let A be the event that
a 7 is drawn on the first draw, and let B
be the event that either an 8 or a 9 is drawn on the second draw. Are A and B mutually exclusive? (Write “yes” or “no.”) _______ Are A and B independent? _______ |
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6. |
In the universe of
students, the probability of diligence (event D) is 0.4, and one fourth of students earn an A (event A). Among the students, 55% are
diligent or earn an A (or both). Draw a Venn diagram to illustrate the
universe, as well as the relationship among events A and D. Use the blank
region below. |
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7. |
Two fair dice are rolled. |
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(a) |
Compute the unconditional
probability of an even sum. Work is required for credit. |
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(b) |
Now suppose that I can see
the outcome of the roll of the dice, but you cannot. You ask me, “Mr. Hansen,
is at least one of the two dice showing an even number?” I respond, “Yes.”
Does this increase or decrease the likelihood that the sum of the two dice is
even, or does the probability remain the same? Show your work (no credit
without work). |
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8. |
I feel lucky, and I think I
can roll an 8 on my next roll of the dice. You think this is unlikely, and
you offer me odds of 6:1. Is this a fair game? _______ Compute the expected
value of the game to me for each dollar that I wager. (Work is needed for
credit.) |
9. |
Write a simulation
methodology to address the following question. Do not actually solve the
problem. |
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10. |
Compute the probability
that an SRS of 5 people attending the party in question #9 would include at
least one person with a ticket number in the top 5. (The top 5 numbers are
15, 16, 17, 18, 19.) Give answer to 3 decimal places. Work is required for
full credit. |
11. |
Consider the 5 trials in
question #10. |
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(a) |
State why these trials are
not independent. |
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(b) |
Does it make sense in a
situation like this to use the letters p
and q? Why or why not? [Remember, p = single-trial probability of
success, and q = 1 − p. These are standard definitions in
statistics classes everywhere.] |
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12. |
A screening test for superslobberiness is 98% sensitive (i.e., P(pos. | infected) = 0.98) and 97.5%
selective (i.e., P(neg. | not
infected) = 0.975). Compute the PPV of the test if superslobberiness
affects 1.5% of all dogs. PPV stands for “positive predictive value” and is
defined as P(infected | pos.). |
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