Calculating Probability of Even Numbers with Loaded Die

In summary, the die is loaded with 1 being 3 times more likely to appear than any other number. Therefore, the probability of getting an even number is 3/8. This is determined by setting P(1) = 3P(2) and solving for the common probability of 2-6, which is then used to find the probability of getting an even number. The sum of all probabilities must equal 1, which is a general rule for any probability distribution.
  • #1
Bucs44
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0

Homework Statement


A die is loaded so that the numbers 2 through 6 are equally likely to appear but that 1 is 3 times as likely as any other number to appear. What is the probability of getting an even number?

Homework Equations



This is where I become lost - I'm not sure how to get the outcome.

The Attempt at a Solution



P(2) + P(4) + P(6) = 1/8 + 1/8 + 1/8 = I think the answer is 3/8 but can't tell you how I got that. I don't understand the P(1) + P(2) + P(3) thing. Could someone help me to understand this?
 
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  • #2
What P(1)+P(2)+P(3) thing?

You know that there are 6 outcomes

P(2)=P(3)=..=P(6), P(1)=3P(2), and P(1)+P(2)+..P(6)=1.

So from this you can find P(2), and hence P(2 or 4 or 6)=P(2)+P(4)+P(6).
 
  • #3
matt grime said:
What P(1)+P(2)+P(3) thing?

You know that there are 6 outcomes

P(2)=P(3)=..=P(6), P(1)=3P(2), and P(1)+P(2)+..P(6)=1.

So from this you can find P(2), and hence P(2 or 4 or 6)=P(2)+P(4)+P(6).

That's just it - I don't understand this. I guess I see where P(2)*P(3) = P(6) but where I get lost is P(1)=3P(2), and P(1)+P(2)+..P(6)=1.
 
  • #4
Load a die and die cast yourself.
 
  • #5
jermanie said:
Load a die and die cast yourself.

Geez - thanks for the great input there! Some of us aren't math wizz's.
 
  • #6
jermanie said:
Load a die and die cast yourself.
The montecarlo method!

Bucs44 said:
That's just it - I don't understand this. I guess I see where P(2)*P(3) = P(6) but where I get lost is P(1)=3P(2), and P(1)+P(2)+..P(6)=1.
You "see" the one part I don't see, and are lost on the easy ones!

The problem says "1 is 3 times as likely as any other number to appear". If the probability a 2 will occur is P(2) and 1 is "3 times more likely", then P(1)= 3P(1). And, of course, since some number must occur the probability some number must occur is 1. That is, the sum of all the individual probabilities is 1. That's generally true for any probability distribution- the sum of probabilities of all "elementary" events is 1.

If you let p be the common probability of 2- 6, P(2)= P(3)= P(4)= P5)= P6) and P1)= 3p so you must have 3p+ p+ p+ p+ p+ p= 1. Solve that for p and the rest is easy.

But what in the world makes you think that P(2)*P(3)= P(6)? They are not, P(2)= P(3)= P(6). Are you thinking that 2*3= 6? That has nothing to do with probabilities.
 
  • #7
So P(2) + P(4) + P(6) = 1/8 + 1/8 + 1/8?
 

FAQ: Calculating Probability of Even Numbers with Loaded Die

1. What is discrete probability theory?

Discrete probability theory is a branch of mathematics that deals with the study of random phenomena that have a finite or countable number of outcomes. It is used to analyze and predict the likelihood of events occurring in a discrete system or experiment.

2. What are some examples of discrete random variables?

Examples of discrete random variables include the outcome of a coin toss, the number of students in a class, and the number of cars passing through an intersection in a given time period.

3. What is the difference between discrete and continuous probability distributions?

Discrete probability distributions deal with random variables that can only take on a finite or countable number of values, while continuous probability distributions deal with random variables that can take on any value within a given range.

4. How is the probability of an event calculated in discrete probability theory?

The probability of an event is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. This can be represented as P(event) = number of favorable outcomes / total number of outcomes.

5. What is the significance of the binomial distribution in discrete probability theory?

The binomial distribution is a discrete probability distribution that is used to model the probability of success or failure in a series of independent trials. It is useful in many real-world applications, such as in statistics, genetics, and economics.

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