Probability: unfair coin toss, probably pretty easy

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Homework Help Overview

The discussion revolves around a probability problem involving a biased coin that lands heads with a probability of 2/3, tossed three times. Participants are exploring the conditional probabilities related to the occurrence of heads in the tosses, specifically focusing on scenarios where at least one head is present.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss using the complement rule to find probabilities, questioning how to incorporate the condition of having at least one head. Some suggest using the binomial distribution to calculate probabilities for different outcomes of heads.

Discussion Status

Several participants have offered calculations and interpretations regarding the probabilities involved. There is a recognition of the importance of the condition "Given that there was at least one head," and some participants have provided formulas to clarify their reasoning. However, there is no explicit consensus on the final approach or solution.

Contextual Notes

Participants are navigating the constraints of the problem, particularly the implications of the condition regarding at least one head being present in the tosses. There is an acknowledgment of potential confusion regarding how to factor this condition into their calculations.

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Homework Statement



A biased coin lands heads with probability 2/3. The coin is tossed 3 times

a) Given that there was at least one head in the three tosses, what is the probability that there were at least two heads?

b) use your answer in a) to find the probability that there was exactly one head, give that there was at least one head in the three tosses.


The Attempt at a Solution



a) So i figured the best way to do this would be to find the probability of the complement events and subtract one.

So i calculated P(No heads)+ P(exactly one head)= 1/27 + 6/27 = 7/27. So my answer would be 20/27. Which isn't the answer in the back of the book.

I assume i am wrong and i think it has to do with the following clause: "Given that there was at least one head in the three tosses"

Dunno how to factor that into my work... any help appreciated
 
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For part A as your given that there was at least 1. would you than have to just work out the probability of at least 1 head in the other two tosses?

If you use the binomial distribution

[itex]_{n}C_{r}\times p^{r}\times q^{n-r}[/itex]

where p = probability of success = 2/3 and q = the compliment (1-p) = 1/3

n = trials r = number of events ie you need at least r from n tosses

[itex]_{2}C_{1}\times p^{1}\times q^{2-1}[/itex]

give that a go
 
Yes, the problem is "Given that there was at least one head in the three tosses". For a) you want (P(2 heads)+P(3 heads))/(P(1 head)+P(2 heads)+P(3 heads)). P(no heads) doesn't enter into the sample space.
 
Dick said:
For a) you want (P(2 heads)+P(3 heads))/(P(1 head)+P(2 heads)+P(3 heads)).

Ok i calculated this out and got 20/26 which is the correct answer, but can you explain how you came to this formula?
 
If you wanted the probability without the restriction "Given that there was at least one head in the three tosses" the answer would be (P(2 heads)+P(3 heads))/(P(0 heads)+P(1 head)+P(2 heads)+P(3 heads)), right? Where the denominator is clearly 1. I just threw P(0 heads) out of the problem. Since your restriction doesn't allow it. It's P(of everything I want)/P(everything that satisfies the restriction).
 
Thanks dick, sorry you wasted your 12k post on me :/
 
SNOOTCHIEBOOCHEE said:
Thanks dick, sorry you wasted your 12k post on me :/

It's not a waste, if you understood what I said.
 
can someone please solve this using sequences of events
 

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