t B: Data-Generating Processes Par One importan dependent variable. It is one of
ID: 3149374 • Letter: T
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t B: Data-Generating Processes Par One importan dependent variable. It is one of the three things you must know to use generalized linear models. Thus, it is again important for me to emphasize distributions in statistics. Here, the goal is similar to that of Part B in the first quiz. t thing to know/think about when modeling is the conditional distribution of the The following are descriptions of variables. In the blanks, write the distribution of that data. In the space provided, defend your choice. Be yery explicit in your reasons. I expect you to look up terms that are unfamiliar to you. I also expect you to do (a little) research on these variables. These are three points each. Bl The number of patients, out of the original 75, who relapse B2. The number of violent crimes in Stillwater in 2017 B3· The score of a student on this quiz The time spent on the telephone doing a survey The number of people who return to spend the night at your hotel B5.Explanation / Answer
B1 . It is a Binomial-ly distributed.Since there is only two things can happen either one relapses or not.
B2.The number of crime can be theoretically any integer from 0 to indefinitely high value, so it can be a Poisson random variable.
B3. There is a maximum number and a minimum number in a quiz, and since the scores are distcrete it can be modelled as through a Discrete Uniform distribution.
B4. The time spent on telephone doing a survey is a continuous variable and a non-negative variable which is best modelled by an Exponential Distribution.
B5.It is also a Poisson Variable.The reason is that 0 people can come or indefinitely many people can come.
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