Probability mass function question. Why is the answer 3/7

In summary, the conversation discusses a situation where a coin is tossed three times to determine the number of heads, Y. A die is then rolled to determine the score, X, and Z is calculated by multiplying Y and X. The question asks for the probability of Y equaling 1 given that Z equals 6. The solution is found by considering the restricted universe of outcomes where Z equals 6 and determining the relative probabilities of Y equaling 1. The final answer is 3/7, which is unlikely to be correct.
  • #1
cloud360
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0

Homework Statement



Consider the following situation. You toss a coin three times and count the total number of heads,
Y . You then roll a die and record the score, X. Finally, calculate Z = Y × X, that is, the total
number of heads multiplied by the score on the die.

(b) Find the probability that Y = 1 given that Z = 6.

Homework Equations



n/a

The Attempt at a Solution


I have got the solution. But don't know why it is. Why is the answer to B =3/7

I think it should be probability that y=1, which is 3/8...divide by probability Z=6...which is 7/48


therfore answer is=18/7...which is know is impossible

[PLAIN]http://img713.imageshack.us/img713/2558/pmfk.png
http://img713.imageshack.us/img713/2558/pmfk.png
 
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  • #2
to get z=6, where y=1...x must be 6

as 6*1=6...(the 1 represents y)

probability x=6...is 1/6

it is 1*6
 
  • #3
They want to know:

GIVEN that Z is 6, what is the chance that Y is 1.

So we already know that Z was 6. So our whole universe of possible outcomes is therefore restricted to Z=6. So what are the possible outcomes and their relative probabilities? Write them down. Then look at how often among the restricted universe that Y=1.
 

1. What is a probability mass function?

A probability mass function (PMF) is a mathematical function that assigns a probability to each possible value of a discrete random variable. It maps the probabilities of all possible outcomes of a random variable to their corresponding values.

2. How is a probability mass function different from a probability distribution function?

A probability mass function is used for discrete random variables, while a probability distribution function is used for continuous random variables. A PMF assigns probabilities to specific values of a discrete variable, while a PDF assigns probabilities to ranges of values of a continuous variable.

3. How do you calculate the probability mass function?

To calculate the PMF, you need to know the probabilities of all possible outcomes of a random variable. Then, you can use a formula to calculate the probability of any specific value of the variable.

4. Why is the answer to the probability mass function question 3/7?

The answer to the probability mass function question will depend on the specific values and probabilities given. However, assuming that the probabilities of all possible outcomes add up to 1, then the answer must be 3/7 in order to satisfy this condition.

5. How is the probability mass function useful in real-world applications?

The probability mass function is useful in many real-world applications, such as in statistics, finance, and science. It can be used to model and analyze discrete random variables, and to make predictions and decisions based on probability calculations.

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