Sample space probability question

In summary: You will have some identical values, but you can still write a formula for the PMF. It is just a linear combination of the probabilities for the individual outcomes.
  • #1
Mark53
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Homework Statement


[/B]
Driving to work, a commuter passes through a sequence of three traffic lights. At each light he either stops, denoted by s, or continues, denoted by c. Assume that the outcome c or s for each traffic light is independent of the outcome of other traffic lights.

(a) Write out the sample space Ω.
(b) If X(ω) is the number of times the commuter stops for outcome ω, calculate X for each outcome in your sample space and write out the state space S for X.
(c) Assuming that each outcome ω is equally likely, calculate the PMF fX of X, with reasoning.
(d) Assuming that stopping at a light is twice as likely as continuing through, calculate the PMF fX of X.

The Attempt at a Solution


[/B]
A)

Ω={ccc,ccs,css,sss,ssc,scc,csc,scs}

b)

x(ccc)=0
x(ccs)=1=x(csc)=x(scc)
x(css)=2=x(ssc)=x(scs)
x(sss)=3

state space ={0,1,2,3}

c)

wouldn't the pmf just be this but the questions says equally likely.

p(X=0)=1/8
p(X=1)=3/8
p(X=2)=3/8
p(X=3)=1/8

d)
not sure how to go about this part
 
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  • #2
Mark53 said:
the questions says equally likely
No, it says the individual (triple) outcomes like ccc are equally likely. It does not say the values of X are equally likely.
Mark53 said:
d)
not sure how to go about this part
Then you do not really understand how you answered c). You were not told that c and s were equally likely.
In d), c and s are not equally likely. But you know what the two probabilities add up to.
 
  • #3
haruspex said:
No, it says the individual (triple) outcomes like ccc are equally likely. It does not say the values of X are equally likely.

Then you do not really understand how you answered c). You were not told that c and s were equally likely.
In d), c and s are not equally likely. But you know what the two probabilities add up to.

read the question wrong so what i wrote in part c would be correct then.

for part d

the probability c happening would be 1/3 and the probability of s happening would be 2/3 given that it is twice as likely and must add to 1.

does this then mean P(ccc) happening would be 1/27 and so on for the rest?
 
  • #4
Mark53 said:
read the question wrong so what i wrote in part c would be correct then.

for part d

the probability c happening would be 1/3 and the probability of s happening would be 2/3 given that it is twice as likely and must add to 1.

does this then mean P(ccc) happening would be 1/27 and so on for the rest?
Yes.
 
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Related to Sample space probability question

1. What is a sample space in probability?

A sample space in probability refers to the set of all possible outcomes of an experiment or event. It is denoted by the symbol S and represents the entire range of outcomes that can occur.

2. How do you calculate probability from a sample space?

To calculate probability from a sample space, you need to determine the total number of possible outcomes and the number of desired outcomes. Then, the probability is calculated by dividing the number of desired outcomes by the total number of possible outcomes.

3. What is the difference between a sample space and an event?

A sample space is the set of all possible outcomes, while an event is a subset of the sample space that represents a specific outcome or set of outcomes. In other words, a sample space is the entire range of possibilities, and an event is a specific outcome within that range.

4. Can a sample space have an infinite number of outcomes?

Yes, a sample space can have an infinite number of outcomes. This is often the case for continuous events, such as measuring the height of a person or the time it takes to complete a task.

5. How is the concept of sample space used in real-world applications?

The concept of sample space is used in various fields, including statistics, economics, and engineering. It helps in making predictions, analyzing data, and making decisions based on the likelihood of certain outcomes.

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