
Probability
Presentation
•
Mathematics
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9th - 12th Grade
•
Practice Problem
•
Medium
+1
Standards-aligned
Victoria Colbert
Used 8+ times
FREE Resource
18 Slides • 17 Questions
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Probability
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Probability Model
A probability model is a description of some chance process that consists of two parts: a list of all possible outcomes and the probability for each outcome.
The list of all possible outcomes is called the sample space.
A probability model allows us to find the probability of an event.
An event is any collection of outcomes from some chance process.
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Example: Probability Model
Imagine rolling two fair, six-sided dice-one that’s red and one that’s blue. How do we develop a probability model for this chance process? Each of these 36 outcomes will be equally likely and have probability 1/36.
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Finding probabilities
Event A: Getting a sum of 5
P(A) = 4/36 = 0.111
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Multiple Choice
If you flip a coin 2 times, what's the probability of getting heads exactly one time?
1/4
2/4
3/4
4/4
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Basic Probability Rules
The probability of any event is a number between 0 and 1.
All possible outcomes together must have probabilities that add up to 1.
The probability that an event does not occur is 1 minus the probability that the event does occur.
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Multiple Choice
Is 0.36 a valid probability for an event?
Yes
No
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Multiple Choice
Is 1.6 a valid probability for an event?
Yes
No
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Mutually Exclusive
Two events A and B are mutually exclusive if they can not happen at the same time. P(A and B) = 0
The addition rule for mutually exclusive events A and B says that P(A or B) = P(A) + P(B)
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2015 AP Statistics
Find the probability that the chosen student scored less than a 3.
P(scored less than 3) = P(scored 1 or 2) = P(scored 1) + P(scored 2) = 0.236 + 0.186 = 0.422
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2015 AP Statistics
Find the probability that the chosen student scored earned a passing score. (Passing = 3, 4, or 5)
P(passing score) = 1 - P(less than 3) = 1 - 0.422 = 0.578
Also: P(passing) = P(3 or 4 or 5) = P(3)+P(4)+P(5) = 0.252+0.191+0.135=0.578
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Two-Way Table
In a class of students, the following data table summarizes the gender of the students and whether they have an A in the class.
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Multiple Choice
What is the probability that a student selected at random is female?
4/13
9/13
13/27
4/27
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Multiple Choice
What is the probability that a student selected at random is female and has an A?
4/13
9/13
13/27
4/27
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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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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.
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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.
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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.
Probability
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