
Lesson 7.4: Use Probability Models
Presentation
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Mathematics
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7th Grade
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Practice Problem
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Medium
Standards-aligned
Reed Carbone
Used 25+ times
FREE Resource
5 Slides • 5 Questions
1
Lesson 7.4
Use Probability Models
Some text here about the topic of discussion
2
Definitions:
Sample Space: The sample space is the set (or list) of all of the possible outcomes you have.
Ex: The sample space of rolling a fair dice is {1,2,3,4,5,6}
Probability Model: A probability model is a model you can create to simulate a real world event.
Ex: If you make 50% on your free throws, we can use a coin flip to model your shooting.
Subject | Subject
Some text here about the topic of discussion
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Charlie wins his game 1 out of every 3 times. How could you use a dice to model Charlie's chance to win?
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Multiple Choice
Nate scores a goal 1 out of every 4 times he shoots. Which probability model would match his chance of making a goal.
Flipping a coin and it landing on heads or tails.
Rolling a dice and having it land on an even number.
Pulling a diamond out of a deck of cards.
A spinner with 5 equal different sides.
5
Multiple Choice
Nick passes 2 out of every 3 tests he takes. Which probability model matches his chance of passing a test.
Pulling a spade out of a deck of cards.
A 6 sided spinner with 6 different sides.
Rolling a dice and it landing on a number less than 5.
Flipping a coin and it landing on heads.
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A bag contains 14 green, 12 orange, and 19 purple tennis balls.
A. What is the sample space for this bag?
B. If you pulled 75 balls out of the bag with replacement, how many would you expect to be orange?
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Multiple Choice
What is the sample space for flipping a coin?
{H,H}
{T,T}
{H,T}
{H,T,H,T}
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Multiple Choice
What is the sample space for
{Red, Yellow, Green}
{Red, Purple, Pink}
{Red, Purple, Green, Yellow, Pink}
{100% chance}
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Multiple Choice
If you roll a dice 100 times, how many times do you expect it to roll a 1 or 2?
50 times
25 times
33 times
66 times
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Conclusion: Write two complete sentences about what you learned.
Lesson 7.4
Use Probability Models
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