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# Lesson 6 - MA206 Suggested Problems Lesson g Comparing...

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Unformatted text preview: MA206 Suggested Problems Lesson g Comparing Models” Fit to EDFS and Characteristics of EDFs 1. For the following cumulative distribution function, a. What does the probability density function (PDF) for the following cumulative distribution function (CDF) look like and why? wwwww cdfk o 10 M 20 \$130 40 50 60 70 8O 90 b. 50% of the observations will be less than what x-value? fig 35‘. 2. What can you say about the probability mass over the domain of the PDF (what is it equal to and why)? «I 79‘“ :39? my 4. What happens to the EDF as we take more observations from a population? What if the sample size goes to 06.7 . ”15‘ 5. Fit either an Exponential Distribution or a Weibull Distribution to the following data: 6.52 8.99 7.78 23.05 6.58 2.33 48.67 6.71 3.18 1.14 0.21 22.84 2.17 14.80 34.89 4.64 7.25 14.42 41.01 37.94 2.20 13.80 5.52 30.14 4.02 11.49 6.75 1.69 31.08 13.62 31.42 1.40 14.11 10.73 9.46 1.92 25.81 22.69 0.79 12.53 38.49 5.26 22.61 0.18 31.31 28.25 14.26 3.74 8.59 6.59 Which distribution did you pick? Why? What is (are) the parameter value(s) for this distribution? ...
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