Probably easy expected value problem

In summary, the conversation discusses the expected number of correct labels when n people's throat cultures are randomly mixed up. The formula for the expected value is mentioned, with a weight function of 1 and a probability of 1/n^2. The conclusion is that the average number of correct labels is 1, as each label has a 1/n chance of corresponding to the correct bottle. The correctness of this thinking is confirmed.
  • #1
mkkrnfoo85
50
0
Hello, just a bit insecure about my answer.

Problem:-------
Suppose n people have throat cultures, and the cultures are then completely
mixed up. If we randomly pair off the n peoples’ names with the n cultures,
what is the expected number of correct labels?
---------------

So, here's my logic on the solution:

I think there are 2 random variables here, X1 for names, X2 for the cultures.
The formula for the expected value for 2 random variables is:

[tex]\sum_1^n \sum_1^n h(X1,X2)*prob(X1,X2)[/tex] for some weight function h.

I chose h(X1,X2) = 1. Also, I said prob(X1,X2) = (1/n^2). I hope all that is right so far. So just using the expected value equation, I simply said the answer is 1.

[tex]\sum_1^n \sum_1^n (1)* \left \frac{1}{n^2} \right = 1[/tex]

Correct thinking? If not, what am I doing wrong?

Thanks in advance,

Mark
 
Last edited:
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  • #2
N labels on N bottles.

1/N chance for label i to correspond to bottle i.

Average number of correct labels= sum_i=1,N * chance for label i
=1

So I agree.
 

FAQ: Probably easy expected value problem

What is an expected value?

An expected value is a measure of the average outcome of a random event. It is calculated by multiplying the possible outcomes by their respective probabilities and summing them together.

How do you solve a probably easy expected value problem?

To solve a probably easy expected value problem, you need to first identify the possible outcomes and their respective probabilities. Then, multiply each outcome by its probability and sum them together to find the expected value.

What makes a problem a "probably easy" expected value problem?

A "probably easy" expected value problem is typically one that involves a simple and straightforward calculation of the expected value, without any complex or advanced concepts or formulas.

Can expected value be negative?

Yes, expected value can be negative. This means that the average outcome of a random event is a loss rather than a gain.

How can expected value be useful in real-life situations?

Expected value can be useful in real-life situations, such as making financial decisions, evaluating risks, and predicting outcomes. It provides a way to calculate the average outcome of a random event, which can help make more informed and strategic decisions.

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