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Post Closed as "Needs details or clarity" by User1865345, mdewey, Jeremy Miles
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utobi
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Which distribution is correct in modeling conversion rate in a Monte Carlo?

I am building a model for a Monte Carlo simulation that estimates the number of sales made forby a door-to-door salesman.

Looking at his historic success by city, it seems he converts about 80% +/- 20%, and the histogram looks like a bell curve.

From which distribution do I draw my "random conversion rate" to accurately reflect what I see? How did you determine the correct distribution?

I have tried using a normal distribution, but sometimes the random draw is larger than 1. I could "cap" it at 1, but it seems that there must be a better way!

Which distribution is correct in modeling conversion rate in a Monte Carlo

I am building a model for a Monte Carlo simulation that estimates the number of sales made for a door-to-door salesman.

Looking at his historic success by city, it seems he converts about 80% +/- 20% and the histogram looks like a bell curve.

From which distribution do I draw my "random conversion rate" to accurately reflect what I see? How did you determine the correct distribution?

I have tried using a normal distribution, but sometimes the random draw is larger than 1. I could "cap" it at 1, but it seems that there must be a better way!

Which distribution is correct in modeling conversion rate in a Monte Carlo?

I am building a model for a Monte Carlo simulation that estimates the number of sales made by a door-to-door salesman.

Looking at his historic success by city, he converts about 80% +/- 20%, and the histogram looks like a bell curve.

From which distribution do I draw my "random conversion rate" to accurately reflect what I see? How did you determine the correct distribution?

I have tried using a normal distribution, but sometimes the random draw is larger than 1. I could "cap" it at 1, but there must be a better way!

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Robert
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I am building a model for a Monte Carlo modelsimulation that estimates the number of sales made for a door-to-door salesman.

Looking at his historic success by city, it seems he converts about 80% +/- 20% and the histogram looks like a bell curve.

From which distribution do I draw my "random conversion rate" to accurately reflect what I see? How did you determine the correct distribution?

I have tried using a normal distribution, but sometimes the random draw is larger than 1. I could "cap" it at 1, but it seems that there must be a better way!

I am building a Monte Carlo model that estimates the number of sales made for a door-to-door salesman.

Looking at his historic success by city, it seems he converts about 80% +/- 20% and the histogram looks like a bell curve.

From which distribution do I draw my "random conversion rate" to accurately reflect what I see? How did you determine the correct distribution?

I have tried using a normal distribution, but sometimes the random draw is larger than 1. I could "cap" it at 1, but it seems that there must be a better way!

I am building a model for a Monte Carlo simulation that estimates the number of sales made for a door-to-door salesman.

Looking at his historic success by city, it seems he converts about 80% +/- 20% and the histogram looks like a bell curve.

From which distribution do I draw my "random conversion rate" to accurately reflect what I see? How did you determine the correct distribution?

I have tried using a normal distribution, but sometimes the random draw is larger than 1. I could "cap" it at 1, but it seems that there must be a better way!

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Robert
  • 225
  • 1
  • 8

Which distribution is correct in modeling conversion rate in a Monte Carlo

I am building a Monte Carlo model that estimates the number of sales made for a door-to-door salesman.

Looking at his historic success by city, it seems he converts about 80% +/- 20% and the histogram looks like a bell curve.

From which distribution do I draw my "random conversion rate" to accurately reflect what I see? How did you determine the correct distribution?

I have tried using a normal distribution, but sometimes the random draw is larger than 1. I could "cap" it at 1, but it seems that there must be a better way!