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Instructions for an assignment in a university-level statistics course focused on predicting the terminal velocity of samaras based on disk loading. Students are required to examine mass data graphically, calculate means and standard deviations, plot terminal velocity against the square root of disk loading, fit regression models, and perform f-tests. The document also mentions the use of r for data analysis and the provision of a dataset named samara.txt.
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Stat/F&W/Hort 572 Ane January 22, 2009
Assignment #2 — Due Friday, Feb. 6, 2009, by 4pm
Turn in lecture, discussion, or to your TA’s mailbox. Please circle the discussion section you expect to pick up this assignment: 311 312 313 314
Instructions. In a write-up of your solution to this assignment, you do not need to include graphs in your solution unless the questions specifies this explicitly. You do not need to show R code used to create graphs. In questions that require you to fit a model and comment on estimated coefficients, your solution should describe the fitted model in an equation with words and units that is distinct from any R code used to fit the model. For example, from the bats data set we discussed in lecture, we could express the model for fitting the energy requirements for a bird of as a function of its mass as follows:
energy in Watts = 3.32 + 0. 0678 × (mass in grams − 260)
Your solution should then also include a summary of the R code you used to fit the model and summarize the results. You should edit the R output to eliminate material that is not necessary to answer the question. For example, if you use the summary function, you might choose to include in your solution the table of estimated coefficients, but you should eliminate the excess output such as quantiles of residuals.
Background. A samara is the winged fruit from a tree that falls to the ground with a helicopter-like motion. A forest scientist is interested in predicting the terminal velocity of falling samaras based on disk loading, the mass of a samara divided by the area of the disk it passes through while spinning. A lower velocity could be related to a larger average dispersal distance allowing samara to drop further from the maternal tree, potentially decreasing competition for new resultant seedlings. The scientist collected from 25–30 samaras from each of seven species and measured the disk loading and terminal velocity of each. The species were white ash (Fraxinus americana), green ash (F. pennsylvanica), tulip tree (Liriodendron tulipifera), sugar maple (Acer saccharum), boxelder (A. negundo), red maple (A. rubrum), and silver maple (A. saccharinum). Samaras from the two ash species and the tulip tree are bilaterally symmetric and roll as they spin. In contrast, the samaras from the maples and the boxelder (genus Acer ) are asymmetric and they do not roll as they spin. Theoretical study of helicopter rotors suggests that the terminal velocity should be linearly related with the square root of the disk loading. The data set for this assignment is on the course web page and is named samara.txt. The columns are: species: the common name of the species of tree genus: the scientific genus velocity: the terminal velocity in centimeters per second mass: the mass of the samara in milligrams area: area of the disk while spinning in square-centimeters loading: the ratio of mass to area symmetry: a factor indicating if the samara are bilaterally symmetric or not
Stat/F&W/Hort 572 Ane January 22, 2009
(a) none, (b) species, (c) species and an interaction species - square root of disk loading, (d) genus, (e) symmetry.
For each model, write the equation that predicts the terminal velocity for a sugar maple samara in the style above. Find a numerical prediction for the terminal velocity of a sugar maple samara with disk loading value 3.0 mg/cm^2 for each model.
Reading: Chapters 4 and 5.