2. Someone suggests that the data regarding the flight time of the helicopters i

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2. Someone suggests that the data regarding the flight time of the helicopters is better modeled as a Poisson process. To check this, break up your data into "arrivals" within "periods." Your first period will be the lowest time in the data you collected. (So if the lowest time in your data is 1.6, the first bin is 1.6.) Each period should then be 0.2 seconds, starting 0.1 seconds before your bin and ending 0.1 seconds after your bin. Count the number of times from your data that fall in each period. The data will then look something like the following. (This is an example, don't use this data.) The first period in this example is from 1.5 to 1.7 seconds; the second is from 1.7 seconds to 1.9 seconds, etc.. Period 1.6 1 1.8 2.0 2.2 24 26 2.8 3.0 3.2 1 2.0 a. Transpose the data so that period is a column and count is a (second) column. . b. Use the goodness of fit test in R to determine whether a Poisson distribution is an appropriate model, using a 0.01. Include the table output in your answer.. Regardless of your answer to 2b, on average how many drops do you expect to have a duration within each 0.2 sec period?. c.

Explanation / Answer

a)

b)

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