a. You have the following data of wind speed (in mph) in Ithaca, NY at 3 pm each day: 10, 7, 3, 9, 7, 10, 12, 13, 1, 12. Evaluate whether this data is a better match for the normal or lognormal distribution using the Chi Square test, the Maximum Likelyhood test, and the Kalmogorov-Smirnoff test. Use the winning distribution to predict the probability of getting wind speeds over 15 mph. It is recommended you use R for these calculations, but show what you are doing in your hwk submission.

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HWK 8: Statistical Inference
a. You have the following data of wind speed (in mph) in Ithaca, NY at 3 pm
each day:
10, 7, 3, 9, 7, 10, 12, 13, 1, 12.
Evaluate whether this data is a better match for the normal or lognormal
distribution using the Chi Square test, the Maximum Likelyhood test, and the
Kalmogorov-Smirnoff test. Use the winning distribution to predict the
probability of getting wind speeds over 15 mph. It is recommended you use
R for these calculations, but show what you are doing in your
hwk
submission.
Transcribed Image Text:HWK 8: Statistical Inference a. You have the following data of wind speed (in mph) in Ithaca, NY at 3 pm each day: 10, 7, 3, 9, 7, 10, 12, 13, 1, 12. Evaluate whether this data is a better match for the normal or lognormal distribution using the Chi Square test, the Maximum Likelyhood test, and the Kalmogorov-Smirnoff test. Use the winning distribution to predict the probability of getting wind speeds over 15 mph. It is recommended you use R for these calculations, but show what you are doing in your hwk submission.
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