Statistical Uncertainty for Discrete Events

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SUMMARY

The discussion focuses on calculating the uncertainty in the number of times a specific total appears when rolling two six-sided dice N times. The key method involves using the binomial distribution to determine the probability of rolling a total of 8, where p represents this probability. To quantify uncertainty, participants highlight the importance of calculating the mean and variance, as well as utilizing the entropy of the binomial distribution. The binomial test is identified as a crucial tool for this analysis.

PREREQUISITES
  • Understanding of binomial distribution
  • Knowledge of probability theory
  • Familiarity with mean and variance calculations
  • Concept of entropy in statistical distributions
NEXT STEPS
  • Research the properties of the binomial distribution
  • Learn how to calculate mean and variance for discrete random variables
  • Explore the concept of entropy in probability distributions
  • Study the application of the binomial test in statistical analysis
USEFUL FOR

This discussion is beneficial for statisticians, data analysts, and anyone interested in understanding uncertainty in discrete event probabilities, particularly in the context of rolling dice or similar experiments.

gluons
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I am not sure how to answer the following question, which I have posed to myself to better understand the method:

"Suppose two six-sided dice are rolled together N times. What is the uncertainty in the number of times any given total appears on the dice?"

For example, what is the uncertainty in the number of times 8 is rolled if N is 100? (You can call the number of times 8 appears another variable such as m).

I can see how you would analyze this system by finding the mean and variance of the distribution, but what if I just want to know the uncertainty in only one channel of the distribution?
 
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Well, the first step is to find the distribution for that specific total. For that you can use the binomial distribution, where in your example p = the probability that 8 comes up on a single roll. You then just need to use the entropy of the binomial distribution.
 
Thank you! The binomial test was just what I was looking for.
 
If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

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