Assignment 4 Problems for Statistical Methods for Bioscience II | STAT 572, Assignments of Data Analysis & Statistical Methods

Material Type: Assignment; Class: Statistical Methods for Bioscience II; Subject: STATISTICS; University: University of Wisconsin - Madison; Term: Spring 2008;

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Pre 2010

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STAT 572 Discussion 4
TA Meng Song
Office 1270 MSC
Phone 262-3230
Office hour 11:00-12:00 AM and 1:00-2:00 PM Tue.
My Website www.stat.wisc.edu/songm
1 Problem 1
The following data is collected to study the relationship between frequency of chirps made
by a ground cricket and the corresponding ground temperature. The frequency is measured
as the number of wing vibrations per second.
chirps (/second) 20.0 16.0 19.8 18.4 17.1 15.5 14.7 17.1 15.4 16.2 15.0 17.2 16.0
17.0 14.1
temperature (F) 88.6 71.6 93.3 84.3 80.6 75.2 69.7 82.0 69.4 83.3 78.6 82.6 80.6
83.5 76.3
(a) Fit a linear model to predict chirps from temperature. What are the slope and intercept
of the model?
(b) Fit another linear model, using a linear transformation to centralize the explanatory
variable. What are the slope and intercept of the model?
(c) Fit another linear model, using a linear transformation to centralize and standardize the
explanatory variable. What are the slope and intercept of the model?
(d) Use these three models to predict chirp frequency under similar conditions when the
temperature is 88 F.
2 Problem 2
In the early 1990s, scientists became concerned about rapid declines in populations of am-
phibians worldwide. After some analysis, researchers consider global atmospheric causes,
such as thinning of the ozone layer and the resulting increased exposure to damaging ultra-
violet (UV-B) light to be the answer.
Rana cascadae is a kind of amphibians who lay eggs in open shallow water which is highly
exposed to sunlight. Therefore the effect of UV-B could be explained by the damage over
eggs. Researchers place Rana eggs under UV-B treatments having three levels: (a) a UV-B
blocking filter; (b) a UV-B transmitting filter; and (c) no filter. Percentage of eggs failing
to hatch (perF) is calculated at two sites:
1
pf2

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STAT 572 Discussion 4

TA Meng Song Office 1270 MSC Phone 262- Email [email protected] Office hour 11:00-12:00 AM and 1:00-2:00 PM Tue. My Website www.stat.wisc.edu/∼songm

1 Problem 1

The following data is collected to study the relationship between frequency of chirps made by a ground cricket and the corresponding ground temperature. The frequency is measured as the number of wing vibrations per second.

chirps (/second) 20.0 16.0 19.8 18.4 17.1 15.5 14.7 17.1 15.4 16.2 15.0 17.2 16. 17.0 14. temperature (F) 88.6 71.6 93.3 84.3 80.6 75.2 69.7 82.0 69.4 83.3 78.6 82.6 80. 83.5 76.

(a) Fit a linear model to predict chirps from temperature. What are the slope and intercept of the model?

(b) Fit another linear model, using a linear transformation to centralize the explanatory variable. What are the slope and intercept of the model?

(c) Fit another linear model, using a linear transformation to centralize and standardize the explanatory variable. What are the slope and intercept of the model?

(d) Use these three models to predict chirp frequency under similar conditions when the temperature is 88 F.

2 Problem 2

In the early 1990s, scientists became concerned about rapid declines in populations of am- phibians worldwide. After some analysis, researchers consider global atmospheric causes, such as thinning of the ozone layer and the resulting increased exposure to damaging ultra- violet (UV-B) light to be the answer. Rana cascadae is a kind of amphibians who lay eggs in open shallow water which is highly exposed to sunlight. Therefore the effect of UV-B could be explained by the damage over eggs. Researchers place Rana eggs under UV-B treatments having three levels: (a) a UV-B blocking filter; (b) a UV-B transmitting filter; and (c) no filter. Percentage of eggs failing to hatch (perF) is calculated at two sites:

No filter UV-B transmitting UV-B blocking Three Creeks 38.7 44.0 30.0 38.7 28.7 32.7 36.0 40.7 25.3 18.7 21.3 16. Small Lake 36.7 69.6 39.3 34.0 70.0 54.0 48.7 51.3 24.7 25.3 39.3 32.

(a) Fit a linear model to predict perF from site and treatment, without interaction.

(b) Do a log transformation on perF and refit the linear model. Why should we do this transformation? How do you interpret this model?

(c) Predict the percentage of eggs failing to hatch in Small Lake and under UV-B blocking from both models.

3 Problem 3

The board of directors of a professional association conducted a random sample survey of 30 members to assess the effects of several possible amounts of dues increase. Two values are recorded: (1) dollar: The collar increase in annual dues posted in the survey interview. (2) renew: Whether or not the interviewee indicated that the membership will not be re- newed at that amount of dues.

renew 0 1 0 0 0 0 1 0 0 1 1 0 0 1 0 dollar 30 30 30 31 32 33 34 35 35 35 36 37 38 39 40 renew 1 1 0 1 1 1 0 1 1 0 1 1 0 1 1 dollar 40 40 41 42 43 44 45 45 45 46 47 48 49 50 50

(a) Fit a generalized linear model with the data, using binomial (it’s actually binary here) family and logit link function.

(b) Predict the possibility of not renewing when the dollar increase is 30, 40 and 50 respec- tively.

Note: the data are available as three txt files on the course website.