Solving "The Dog Dilemma" Probability Problem

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In summary, "The Dog Dilemma" Probability Problem is a hypothetical scenario that involves a dog whose behavior can be either barking or staying quiet when its owner comes home. The purpose of solving this problem is to apply the principles of probability and statistics to real-life scenarios, allowing scientists and researchers to practice and improve their skills in data analysis and prediction. The key steps to solving this problem include defining the problem, collecting and analyzing data, and making a prediction based on the data while considering potential influencing factors. Some common assumptions when solving this problem are consistent behavior, accurate data, and similar future patterns. This problem can be applied in various real-life situations, such as predicting customer behavior and making decisions based on past data and trends.
  • #1
bucher
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This is a probability problem that I thought up one day after being inspired by the Boy or Girl Dilemma I read in the news (a while back).

Say a breeder has five dogs. A customer shows up one day and wants to know about the dogs. The customer is interested in a female dog and so asks the breeder if there is at least one female dog in the litter of five. The breeder says, "Yes".

After this, the customer leaves the store and goes to another one. There are five dogs at that store as well. The customer asks the breeder if the oldest dog in the litter of five is female. The breeder says, "Yes".

What is the probability of the first breeder having all females?
What is the probability of the second breeder having all females?

Since this is a probability question, I'll tell you the answers and you can determine why.


The probability of the first breeder having all females is 1/31

The probability of the second breeder having all females is 1/16
 
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  • #2
It's just an application of Bayes' Theorem:

[tex]P(A|B) = \frac{P(B|A)P(A)}{P(B)}[/tex]



First breeder: Let A denote "all females" and B denote "at least one is female". Clearly, P(B|A) = 1 and P(A) = 1/32. Now, the probability that at least one is female is one minus the probability that all are males, so it comes out to 1 - 1/32 = 31/32.

By Bayes' Theorem, P(A|B) = 1/31


Second Breeder: Similar thing, except that this time we let B denote "the first one is female", so in this case P(B) = 0.5. Again using Bayes' Theorem, we find that P(A|B) = 1/16
 
  • #3
Writing "M" for male and "F" for female, there are 25= 32 ways to write 5 letters, each being either an "M" or an "F". Of those 32, exactly one is all "M"s and exactly one is all "F"s.

Knowing that there is at least one female drops "MMMMM" leaving 31 possibilities. "FFFFF" is one of those: probability 1/31.

If we write the dogs in order of age, then knowing that the oldest dog is female means that we are looking at lists of 5 letters, from "M" or "F", with the first letter being "F". Obviously in all possible lists of 5 "M"s or "F"s, exactly half, 16 start with "F" and half with "M" so knowing that "the oldest dog is a female" throws out half the possible lists, leaving 16. one of those is "FFFFF" so the probability of "all females" is now 1/16.

There is no "dilemma" here. "The oldest dog is female" gives you more information than "at least one of the dogs is female".
 
  • #4
First breeder:

Since its given that there is at least one female, the question, "what is the probability that all five are female when one is female" means the same thing as the question, "What is the probability that the remaining four are female". The probability that the remaining four are female is 1/16, and thus the probability that all five are female (given that one is female) is 1/16.

Second breeder:

The temptation here is to assume there might have been intelligent pre-selection of dogs in the group, by the store owner. However the OP makes it pretty clear, I think, that there was no such pre-selection, and that these are ALL the dogs from a given litter. So the sex of a randomly selected dog does NOT change the probability of the sex of another dog in the litter. Each is a separate coin toss. So the fact that the oldest is female works the same as "there is at least one female". So like with the first breeder case, the probability of the remaining four all being female is 1/16.
 
  • #5
Fleem, the answer to the "first breeder problem" is indeed 1/31, with precisely the explanation HallsofIvy gave. You can also do this:

[tex]
\begin{align*}
\Pr(X = 5 | X \ge 1) & = \frac{\Pr((X =5) \cap (X \ge 1))}{\Pr(X \ge 1)} \\
& = \frac{\Pr(X = 5)}{\Pr(X \ge 1)} \\
& = \frac{\dfrac{1}{32}}{\dfrac{31}{32}} = \frac 1 {31}
\end{align*}
[/tex]
 
  • #6
Thanks, statdad, I stand corrected. I should have taken a closer look at tibarn's and HallsofIvy's posts.
 
  • #7
fleem said:
Thanks, statdad, I stand corrected. I should have taken a closer look at tibarn's and HallsofIvy's posts.

No worries. And tibarn, I apologize for not mentioning your solution too - that was sheer sloppiness on my part.
 

What is "The Dog Dilemma" Probability Problem?

The Dog Dilemma Probability Problem is a hypothetical scenario that involves a dog that can either bark or stay quiet when its owner comes home. The owner is trying to determine the probability of the dog barking on a specific day based on previous observations.

What is the purpose of solving "The Dog Dilemma" Probability Problem?

The purpose of solving "The Dog Dilemma" Probability Problem is to understand and apply the principles of probability and statistics to real-life scenarios. This problem allows scientists and researchers to practice and improve their skills in data analysis and prediction.

What are the key steps to solving "The Dog Dilemma" Probability Problem?

The key steps to solving "The Dog Dilemma" Probability Problem include defining the problem, collecting data, organizing and analyzing the data, identifying patterns and trends, and making a prediction based on the data. It is also important to consider any potential factors that may influence the dog's behavior, such as time of day or the owner's routine.

What are some common assumptions made when solving "The Dog Dilemma" Probability Problem?

Some common assumptions made when solving "The Dog Dilemma" Probability Problem include that the dog's behavior is consistent and not influenced by external factors, that the data collected is accurate and representative, and that the future events will follow similar patterns as the past events.

How can "The Dog Dilemma" Probability Problem be applied in real life?

"The Dog Dilemma" Probability Problem can be applied in various real-life situations, such as predicting the likelihood of a customer making a purchase or the probability of a patient developing a certain disease. It can also be used in decision-making processes, such as determining the best course of action based on past data and trends.

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