Statistics (probability) problem

In summary, the conversation discussed the probability of no matching pairs of batteries after a truck carrying batteries crashes. The equation provided is 2^(2r) n! (2n - 2r)! / (2n)! (n - 2r)!, where n is the number of pairs of batteries and 2r is the number of batteries chosen at random. The conversation also mentioned that the expectation formula and the permutation and combination formulas may be useful in solving this equation. The reason for taking 2 to the power of 2r was explained as the number of all subsets of a set with 2r elements, and the other factors in the equation were related to combinations and permutations.
  • #1
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Homework Statement


Basically the garbage information summed up: a truck is transporting a bunch of batteries, with lots of different brands. The truck crashes and the batteries and scrambled.

Suppose the number of pairs of batteries is n. Each pair is a different brand. If 2r batteries are chosen at random, and 2r < n, show that the probability there is no matching pair, by brand, is:

2[tex]^{}2r[/tex] n! (2n - 2r)! / (2n)! (n - 2r)!


Homework Equations


I don't know, but I can see that the expectation formula E(x) = [tex]\Sigma[/tex] (x P(X=x)) and the Permutation formula nPr = n! / (n - r)! and Combination formula nCr = n! / (n - r)! r! may be useful as they seem to be of a similar format to the given equation.


The Attempt at a Solution


The part is struggle most with is why they have taken 2 to the power of 2r. (2n - 2r) is obviously total batteries less chosen batteries. The denominator is total batteries by pairs less batteries, but again I'm at a loss as to why they have done this.

Can anyone shed some light?
 
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  • #2
2^(2r) = # of all subsets of a set with 2r elements.

n! / [(2r)! (n - 2r)!] = nC(2r)

(2n)! / [(2r)! (2n - 2r)!] = (2n)C(2r)

Does this help?
 
  • #3


I understand your confusion and I will try to explain the reasoning behind this equation. Firstly, the problem is asking for the probability that there are no matching pairs of batteries after choosing 2r batteries out of the total n pairs. This can be thought of as a combination problem, where we are choosing 2r objects out of n objects without replacement.

Now, let's break down the numerator of the equation. We have 2^{}2r, which represents the number of ways to choose 2r batteries out of 2r pairs. This is equivalent to (2r)! as each pair can be arranged in 2 different ways (e.g. A-B or B-A). Next, we have n! which represents the number of ways to choose the remaining n-2r pairs out of the total n pairs. Finally, we have (2n-2r)! which represents the number of ways to arrange the remaining batteries within the chosen pairs.

Moving on to the denominator, we have (2n)! which represents the total number of ways to arrange all the batteries. And (n-2r)! which represents the number of ways to arrange the remaining n-2r pairs.

Putting it all together, we can see that the numerator and denominator represent the total number of ways to choose and arrange the batteries without any matching pairs, divided by the total number of ways to choose and arrange all the batteries. This gives us the probability of no matching pairs.

I hope this helps to clarify the reasoning behind the equation. It may be helpful to think of it in terms of combinations and permutations, as you mentioned, and also to draw out a few examples to see the pattern.
 

FAQ: Statistics (probability) problem

What is the difference between probability and statistics?

Probability is the mathematical study of the likelihood of events occurring, while statistics is the collection, analysis, interpretation, and presentation of data. Probability is used to predict the likelihood of future events, while statistics is used to draw conclusions and make decisions based on data.

What is a probability distribution?

A probability distribution is a function that describes the likelihood of different outcomes occurring in a statistical experiment. It maps out all possible outcomes and their corresponding probabilities.

How do you calculate probability?

Probability is calculated by dividing the number of desired outcomes by the total number of possible outcomes. This is known as the "probability formula": P(A) = # of desired outcomes / # of possible outcomes.

What is the difference between dependent and independent events in probability?

Dependent events are events where the outcome of one event affects the outcome of another event. Independent events are events where the outcome of one event does not affect the outcome of another event. In other words, the probability of an independent event is not influenced by the occurrence of any other events.

How is probability used in real life?

Probability is used in many real-life situations, such as weather forecasting, insurance, and gambling. It is also used in decision-making processes, such as risk assessment and quality control. In everyday life, probability can be used to make predictions and estimate the likelihood of events occurring.

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