Probability function of a discrete random variable problem

In summary, the problem is asking for the probability function for the random variable X, which represents the number of cards turned before the ace is turned over. The solution involves using the equation P(a|b)=P(a&b) / P(B) to calculate the probabilities for each possible value of X, which is done by solving for P(a|b) and then multiplying it by P(b). This results in a probability function of 1/10 for each value of X from 0 to 9.
  • #1
stevecallaway
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Homework Statement

Ten cards are face down in a row on a table. Exactly one of them is an ace. You turn the cards over oen at a time, moving from left to right. Let X be the random variable for the number of cards turned before the ace is turned over. What is the probability function for X?



Homework Equations


P(a|b)=P(a&b) / P(B)


The Attempt at a Solution

P(X=0) = P(1st card is the ace)=1/10
P(X=1)=P(2nd card is the ace|1st card is not ace) * P(1st card is not ace)=9/10 * 1/9
P(X=2)=9/10 * 8/9 * 1/8 = 1/10
so p(x)=1/10 for x=0,1,...,9
I am having trouble understanding how the book arrived at the solution. For P(X=1), it appears to me that they manipulated the equation P(a|b)=P(a&b) / P(B) to be P(a|b) * P(b) = P(a&b). So they are solving for P(a&b). But isn't the key to solve for P(a|b)?
 
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  • #2
In this case, you are trying to solve for the probability that card X is an ace (without knowing any of the other cards). If you solve for the P(a|b) you are solving for the probability of event a occurring given that you know b has occurred.

ie you want to solve for P(X is an ace and 1,2,...,X-1 are not an aces). That is what they mean when they say solve for P(a n b).
 

1. What is a probability function?

A probability function is a mathematical representation of the likelihood of different outcomes occurring in a given situation. It assigns a numerical value, between 0 and 1, to each possible outcome, with higher values indicating a greater likelihood of that outcome occurring.

2. What is a discrete random variable?

A discrete random variable is a type of random variable that can only take on a finite or countably infinite number of distinct values. This is in contrast to a continuous random variable, which can take on an infinite number of values within a given range.

3. How is the probability function of a discrete random variable calculated?

The probability function of a discrete random variable is typically calculated using a mathematical formula, such as the binomial probability formula or the Poisson probability formula. These formulas take into account the number of possible outcomes and the likelihood of each outcome occurring.

4. What is the difference between a probability function and a probability distribution?

A probability function and a probability distribution are closely related, but not the same. A probability function is a mathematical formula that assigns probabilities to each possible outcome of a random variable. A probability distribution, on the other hand, is a graphical representation of the probabilities of each outcome, often shown as a histogram or line graph.

5. How is the probability function of a discrete random variable used in real-world applications?

The probability function of a discrete random variable is used in a wide range of real-world applications, including risk analysis, statistical modeling, and decision-making. It can help predict the likelihood of certain events occurring and inform important business and policy decisions.

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