Solving a RNG Problem: What is the Expected Value of N?

In summary, the conversation was about a specific question regarding the expected value of a random number generator picking an integer from 1 to N. The speaker was wondering if there is a specific name for this type of problem, where the parameters of the random number generator are the focus. A helpful link was provided for further information on the topic.
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TL;DR Summary
A RNG picks an integer uniformly from 1 to N. It picks 4. What is the expected value of N?
Hey all,

So this time I have a different kind of question - namely, "what is this called?"
I recall hearing/reading this in at least two places, one of which was YouTube. The idea is the following:
A RNG picks an integer uniformly from 1 to N. It picks 4. What is the expected value of N?
I'm pretty sure I know how to solve this problem. My question is the following: Is there a name for this problem, or problems like it? Where the parameters of the random number generator are the thing you're trying to determine?

Cheers,
QM
 
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1. What is a RNG problem?

A RNG (Random Number Generator) problem is a mathematical problem that involves generating a sequence of random numbers. These problems are often encountered in statistics, computer science, and other fields where randomness is important.

2. How is the expected value of N calculated?

The expected value of N in a RNG problem is calculated by taking the sum of all possible outcomes of N multiplied by their respective probabilities. This value represents the average or most likely outcome of N in a given RNG problem.

3. Why is the expected value of N important?

The expected value of N is important because it allows us to make predictions about the outcome of a RNG problem. It also helps us understand the behavior of a random process and make informed decisions based on the likelihood of certain outcomes.

4. Can the expected value of N be negative?

Yes, the expected value of N can be negative. This can occur when the probabilities of the outcomes are weighted towards negative values, resulting in a negative overall expected value. However, in most cases, the expected value of N is a positive number.

5. How does the sample size affect the expected value of N?

The sample size can affect the expected value of N in a RNG problem. As the sample size increases, the expected value of N becomes more accurate and closer to the true expected value. This is because a larger sample size allows for a more representative sample of all possible outcomes.

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