Probabibility Independent events

In summary, the probability of getting a queen in my second draw given that the first card was a spade, independent events, is 1/13.
  • #1
Mathematicsresear
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Homework Statement



Why is it that the probability of getting a queen in my second draw given that the first card was a spade, independent events? What if the first card drawn was the queen of spades?

Homework Equations


P(A and B)=P(A)P(B)
 
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  • #2
How many queens are there in a deck of cards after drawing one non-queen card?

How many cards are there in the deck after drawing your first card?
 
  • #3
Mathematicsresear said:
What if the first card drawn was the queen of spades?
What if it was another spade?
 
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  • #4
Mathematicsresear said:

Homework Statement



Why is it that the probability of getting a queen in my second draw given that the first card was a spade, independent events? What if the first card drawn was the queen of spades?

Homework Equations


P(A and B)=P(A)P(B)

It's clear that the first card and the second card are not independent. The probability that the second card is a spade depends on whether the first card is a spade etc.

But, does the probability that the second card is a queen depend on the suit of the first card?

You can try to resolve the issue as follows:

Before we start we know that the probability that the second card is a queen is 1/13.

Then, we draw the first card and I look at it and tell you it's a spade.

Now, is the second card more likely or less likely to be a queen? Or, is it still 1/13?

What if the first card was a diamond? Or a heart? Or a club?

Perhaps it's clear, therefore, that the denomination of the second card does not depend on the suit of the first card?

Finally, however, I would recommend checking this out using conditional probabilities. It's a good exercise in any case.
 

Related to Probabibility Independent events

1. What is the definition of independent events in probability?

Independent events in probability refer to two or more events that do not affect each other's outcome. In other words, the occurrence or non-occurrence of one event does not influence the probability of the other event happening.

2. How can we determine if events are independent or not?

We can determine if events are independent by calculating their joint probability. If the joint probability is equal to the product of the individual probabilities, then the events are independent. Additionally, if the outcome of one event does not change the probability of another event, then they are also considered independent.

3. What is the difference between independent and mutually exclusive events?

Independent events and mutually exclusive events are two different concepts in probability. While independent events do not affect each other's outcome, mutually exclusive events cannot occur at the same time. In other words, if one event happens, the other cannot happen simultaneously.

4. Can dependent events become independent?

No, dependent events cannot become independent. The dependency between events is inherent and cannot be changed. However, if new information or conditions are introduced, the dependence between events may change.

5. How do we calculate the probability of independent events?

To calculate the probability of independent events, we use the formula P(A and B) = P(A) * P(B). This formula applies to any number of independent events. We simply multiply the individual probabilities of each event together to find the joint probability.

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