Stat 571 - Second Midterm Exam Solutions - Prof. Cecile M. Ane, Exams of Data Analysis & Statistical Methods

Solutions to the second midterm exam for a statistics course, including questions on hypothesis testing, normal quantile plots, and confidence intervals.

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Pre 2010

Uploaded on 09/02/2009

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Stat 571 Second Midterm Exam November 21, 2006
Name:
The exam is open book and open notes.
Do all your work in the spaces provided. If you need additional
space for your work, indicate clearly where the additional work can
be found.
The parts within a problem are not necessarily sequential.
To receive full credit, you must show your work.
Do not dwell too long on any one question. Answer as many
questions as you can.
For instructor’s use:
1 15
2 25
3 25
4 15
5 20
Total 100
1. In queenless wasp colonies of Vesputa rufa, all wasps are workers and 20% of these workers lay eggs. In
queenright colonies (colonies with a queen), the queen lays the eggs, but it is suspected that some workers
may also lay eggs. In a queenright colony, 120 workers were sampled at random. Each wasp worker was
dissected, and it was found that 11 workers had functional ovaries.
(a) Test the null hypothesis that 20% of all workers in this colony have functional ovaries versus the
one-sided alternative hypothesis that fewer than 20% workers have functional ovaries. Indeed, it is
believed that the presence of a queen can only decrease the number of fertile workers. Calculate the
p-value and evaluate the evidence against the null hupothesis.
(b) Discuss any assumption that you made in 1a.
1
pf3
pf4
pf5

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Stat 571 Second Midterm Exam November 21, 2006

Name:

  • The exam is open book and open notes.
  • Do all your work in the spaces provided. If you need additional space for your work, indicate clearly where the additional work can be found.
  • The parts within a problem are not necessarily sequential.
  • To receive full credit, you must show your work.
  • Do not dwell too long on any one question. Answer as many questions as you can.

For instructor’s use:

Total 100

  1. In queenless wasp colonies of Vesputa rufa, all wasps are workers and 20% of these workers lay eggs. In queenright colonies (colonies with a queen), the queen lays the eggs, but it is suspected that some workers may also lay eggs. In a queenright colony, 120 workers were sampled at random. Each wasp worker was dissected, and it was found that 11 workers had functional ovaries.

(a) Test the null hypothesis that 20% of all workers in this colony have functional ovaries versus the one-sided alternative hypothesis that fewer than 20% workers have functional ovaries. Indeed, it is believed that the presence of a queen can only decrease the number of fertile workers. Calculate the p-value and evaluate the evidence against the null hupothesis.

(b) Discuss any assumption that you made in 1a.

  1. A field experiment was conducted to compare the yields (bushels/acre) of two different varieties of wheat, A and B. The raw data are as follows:

Variety mean sd A 110.50 60.32 120.44 40.22 110.36 10.73 20.97 90.53 70.51 40. B 190.11 190.57 120.42 10.52 160.83 20.80 115.54 81.

(a) Below are 4 sets of normal-quantile plots, with A on the left, and B on the right. Which set is the correct set for this data,  1,  2,  3, or  4?

l

l

l

l

l

l l

l

−1.5 −0.5 0.5 1.

20

60

100

A

Normal quantiles

Sample Quantiles

l l

l

l

l

l −1.0 0.0 1.

50

150

B

Normal quantiles

Sample Quantiles

l

l

l l

l l

l

−1.0 0.0 1.

20

60

100

A

Normal quantiles

Sample Quantiles

l

l

l

l

l −1.0 0.0 1.

50

150

B

Normal quantiles

Sample Quantiles

l

l

l

l

l

l l^ l −1.5 −0.5 0.5 1.

50

150

A

Normal quantiles

Sample Quantiles

l

l

l l l l −1.0 0.0 1.

0

100

250

B

Normal quantiles

Sample Quantiles

l

l

l

l

l

l l

l

−1.5 −0.5 0.5 1.

60

100

160

A

Normal quantiles

Sample Quantiles

l l

l

l

l

l −1.0 0.0 1.

100

200

B

Normal quantiles

Sample Quantiles

(b) Based on the set you chose in (a), does the normality assumption seem to be valid in this case? Why or why not?

(c) Perform an independent two-sample test of the null hypothesis that the mean for group A is equal to the mean for group B, versus the two-sided alternative, at α = 0.05. If you believe that normality is okay, assume the variances are equal, and use a t-test. If you believe that normality is violated, use the Mann-Whitney test. In either case, say whether you would reject or not reject the null hypothesis.

  1. The philodendron is very hearty tropical plant, making it an excellent low-maintenance houseplant. A botanist is interested in whether the heartiness of the plant to low-water conditions is affected by the amount of sunlight it receives. Thirteen plants were randomly allocated to two treatment groups, with 5 in the low-light group, and 8 in the high-light group. The plants were completely denied water, and the number of days to visible signs of distress (brown or wilted leaves) was recorded. The data are as follows:

Treatment mean sd Low-Light 6 9 10 4 5 6.80 2. High-Light 3 7 13 10 8 6 11 8 8.25 3.

Perform Levene’s test at α = 0.05 to determine if the variances in the two groups can reasonably be assumed equal.

Over, please.

  1. A study is to be conducted to determine the impact of a generating station in Portage, Wisconsin, on air quality. SO 2 concentration is to be measured at several sites at similar distance from the power plant. After the data is collected, a test will be used a level α = 0.05 in order to test the null hypothesis that the mean SO 2 concentration in the air is equal to 10 μg SO 2 /m^3. This is thought to be an acceptable SO 2 concentration. The study aims at verifying that the power plant is still “clean” after several years of operation. A one-sided alternative (mean SO 2 concentration exceeds 10 μg SO 2 /m^3 ) will be used for the test since it is believed that the power plant can only increase air pollution.

(a) A value of 30 μg SO 2 /m^3 is thought to be uncceptable. It is desired that such a level of SO 2 pollution have a 90% chance of being detected by the experiment. How many sites need to be sampled in order to achieve this goal? Note: Previous data collected near other power plants have shown that the standard deviation in SO 2 concentration is 18 μg/m^3 (variance of 18^2 ).

(b) If the test is to be done at level α = 0.01, and if it is still desired that a level of 30 μg SO 2 /m^3 be detected with a 90% chance, should one sample  fewer,  the same number of or  more sites than in 5a? Explain concisely.

(c) If the test is made at level α = 0.05 as in 5a, but if the number of sites sampled is four times larger than in 5a, which level of SO 2 pollution will have a 90% chance of being detected:  7.5,  15 or  20 μg SO 2 /m^3? Explain concisely. Hint: There is no need of more calculations than using the formula for the sample size.