Probability coin and die Question

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Homework Help Overview

The discussion revolves around a probability problem involving a game played with a fair coin and a die. The original poster describes the rules of the game and seeks to determine the probability of winning based on specific outcomes from the coin flips and die roll.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster considers using a probability tree to analyze the situation but expresses confusion due to unclear explanations from their professor. They question whether the winning probability can be calculated simply by multiplying the probabilities of heads and rolling a 6.

Discussion Status

Some participants have introduced the concept of conditional probability and independence, suggesting that a deeper understanding of these concepts may be necessary. There is an indication that the original poster is beginning to grasp the ideas presented, but no consensus has been reached on the solution.

Contextual Notes

The original poster mentions difficulty in understanding the professor's explanations, which may impact their comprehension of the problem. Additionally, there is a reference to external resources that could aid in understanding conditional probability.

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I started by looking at the probability of any given situation and maybe making a tree but my professor hasn't explained things very well and most the notes I see online are overwhelming

A Game of Coin and Die. This game is played with a fair coin and a die. First player flips a coin. If it turns out head(H), the player proceeds with tossing a die. If it turns out tail(T), the player proceeds with flipping a coin for the second time. The player wins if it gets head on the first tossing and 6 on the second or tails on both flips of coin. What is the probability of winning a game?

Is it simply the probability of getting heads and multiplied by the probability of getting a 6?

(Mentor note: thread moved here from General Math hence no template)
 
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Are you familiar with the concept of conditional probability and independence? That is, ##\mathbb{P}(A|B) = \frac{\mathbb{P}(A\cap B)}{\mathbb{P}(B)}##.
 
Vaguely, I believe he mentioned it but I couldn'tt understand his accent
 
Read this: http://www.math.uah.edu/stat/prob/Conditional.html It's really very easy if you grasp the concept of conditional probability.

If you do not want to do this, then you'll need to enumerate all the possibilities. One of the possibilities is (heads, 1). Can you list the others?
 
I got it! Thank you!
 

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