Intro Independent Probability Question

In summary, Independent probability is the measure of the likelihood of an event occurring without being influenced by other events. The formula for calculating independent probability is P(A and B) = P(A) * P(B). It differs from dependent probability in that the outcome of one event does not affect the outcome of the other. Independent probability can be used in real-life situations such as predicting outcomes and making decisions in genetics and business. And finally, independent probability cannot be greater than 1 as it would imply a higher than certain chance of the event occurring.
  • #1
caljuice
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0

Homework Statement



The probability of a student losing his library card is X each time he goes to the library. He goes to a different library 5 times a week, starting from Monday and ending on Friday.

1)At the end of the day on Thursday, he finally checks his wallet and realizes his library card is gone! What is the probability that the student lost his library card on Thursday and not any other day?

2)Which Library should he go to to search for his library card?

The Attempt at a Solution



Is this the correct process?

First see each day is mutually exclusive since once you lose the card that's it. You can't lose it on another day.

1)

P(T)=Probability of losing card on Thursday = (1-X)(1-X)(1-X)(X)

P(L)=Probability of him losing the card in those 4 days= 1-[(1-X)(1-X)(1-X)(1-X)]

P(T|L)=Probability of him losing the card on Thursday, given that he lost the card

= [(P(T)]/P[L) the answer were looking for

2) Doesn't matter which one he goes to, since the probability for each day is always X.

Any help is appreciated. It concerns me a bit I find introductory probability harder than Calc III.
 
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  • #2
How does your answer for #2 look if X=0.9 ?
 
  • #3
Think about what the probability is of losing it on a particular day. The day with the highest probability is the one he should visit.

Monday: X
Tuesday: (1-X)X
Wednesday: (1-X)2X
Thursday: (1-X)3X

If you work it out, you find the sum of these 4 probabilities is equal to 1 - (1-X)4, which is a nice sanity check.

X and any power of (1-X) are fractional. This makes the answer Monday, no matter what X is (unless it is 0). The reasoning is that you can only lose your card if you have not already lost it. So in this example, Monday is the only day of the four where the card is guaranteed not to be lost, making it the most likely day on which he lost his card. The other days are less likely since they are contingent on the boy not losing his card on the previous days.
 

1. What is independent probability?

Independent probability is a concept in mathematics and statistics that refers to the likelihood of an event occurring without being influenced by any other event. It is the measure of the chance that an event will happen, regardless of any other events that may occur.

2. What is the formula for calculating independent probability?

The formula for calculating independent probability is P(A and B) = P(A) * P(B), where P(A) represents the probability of event A occurring and P(B) represents the probability of event B occurring.

3. How is independent probability different from dependent probability?

Independent probability and dependent probability are two different types of probability. Independent probability refers to events that have no influence on each other, while dependent probability refers to events that are influenced by each other. In other words, the outcome of one event does not affect the outcome of the other in independent probability, while in dependent probability, the outcome of one event can affect the outcome of the other.

4. How can independent probability be used in real life?

Independent probability can be used in various real-life situations, such as predicting the outcome of a coin toss or rolling a dice. It can also be used in genetics to determine the probability of inheriting certain traits from parents. In business, it can be used to predict the success of a product or project.

5. Can independent probability be greater than 1?

No, independent probability cannot be greater than 1. The highest possible probability for an event to occur is 1 or 100%. This means that the event is certain to happen. Any probability value higher than 1 would not make sense in the context of independent probability.

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