Calculate Gamma Distribution: 5% at $627, 95% at $1444

In summary, the linked website uses a Cumulative Probability function to calculate the percentage of payouts that fall within certain limits, with a specific distribution and parameters. The inverse CDF function is used to determine the payout amount for a given percentage.
  • #1
euler_fan
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On the included link, it is calculated that 5% of payouts are around $627 and 95% of payouts are at $1444. I would appreciate if someone can direct me as to how the came up with this answer.

http://www.brighton-webs.co.uk/distributions/gamma.asp"
 
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  • #2
First off they use "less than" and "greater than", not "equal". Those are the limits of the payouts. In general, the F(x) or CDF or Cumulative Probability function takes as an input a number x (payout) along with the distribution parameters, shape, and scale. It returns a percentage as an answer such that y percent of things (payouts) will be less than x.

Now to go the other way you need the inverse CDF function. You feed it a percentage, y, and it returns x (payout amount). Usually this is done with a tabulated chart of values or a computer/calculator function.
 

Related to Calculate Gamma Distribution: 5% at $627, 95% at $1444

1. What is a gamma distribution?

A gamma distribution is a type of probability distribution that is used to model continuous random variables that have a skewed distribution. It is commonly used in statistics and mathematics to analyze data and make predictions.

2. How do you calculate the gamma distribution?

The gamma distribution is calculated using the shape and scale parameters of the distribution. In this case, the shape parameter would be 5 and the scale parameter would be $627. These values can be used in a statistical software or can be calculated manually using mathematical formulas.

3. What does it mean when it is stated as "5% at $627, 95% at $1444"?

This statement is referring to the probabilities associated with the gamma distribution. It means that there is a 5% chance that the variable being analyzed will have a value of $627 or less, and a 95% chance that it will have a value of $1444 or less.

4. How is the gamma distribution useful in real life?

The gamma distribution is useful in many areas, including finance, engineering, and environmental science. It can be used to model variables such as income, rainfall, and failure rates. It allows for the analysis and prediction of events that have a skewed distribution.

5. Can the gamma distribution be used for any type of data?

No, the gamma distribution is best suited for data that has a skewed distribution. It is also important to have a large enough sample size for accurate analysis. It is always recommended to check the data and determine if the gamma distribution is an appropriate model before using it for calculations.

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