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- 4.4 Conditional Probability And Independence
4.4 Conditional probability and Independence
Presentation
•
Mathematics
•
12th Grade
•
Medium
Standards-aligned
Paulo Leal
Used 44+ times
FREE Resource
9 Slides • 3 Questions
1
4.4 Conditional probability and Independence
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Conditional Probability
The probability that one event happens given that another event is know to have happened. The conditional probability that event B happens given that event A has happened is denoted by P(B | A).
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4
Fill in the Blanks
What is the probability of basketball, given that the person is a male? Type your answer as a fraction, don't reduce.
Type answer...
5
Fill in the Blanks
What is the probability of female, given that they chose football? Type your answer as a fraction, don't reduce.
Type answer...
6
Fill in the Blanks
What is the probability of baseball, given that the person is female? Type your answer as a fraction, don't reduce.
Type answer...
7
Independent Events
A and B are independent events if knowing whether or not one event has occurred does not change the probability of that the other event will happen. P(A | B) = P(A | Bc) = P(A)
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Independent Events
You pick an 8 of hearts from a deck of cards, put it back in, and pick another.
The probability of picking an 8 or hearts will not change, so they are independent events.
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Independent Events
You pick an 8 of hearts from a deck of cards, then pick another.
The probability of picking an 8 or hearts will be different, so they are dependent events.
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Are "male" and
"left-handed" independent?
P(left-hand | male) = 7/46 = 0.152
P(left-hand | female) = 3/54 = 0.056
Because the probabilities are not equal, the events "male" and "left-handed" are not independent.
11
Are "gender" and
"passing" independent?
P(pass| male) = 110/165 = 0.667
P(pass) = 164/246 = 0.667
Because the probabilities are equal, "gender" and "passing" are independent.
12
Are "gender" and
"passing" independent?
P(pass | female) = 54/81 = 0.667
P(pass) = 164/246 = 0.667
Because the probabilities are equal, "gender" and "passing" are independent.
4.4 Conditional probability and Independence
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