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Probability

Probability

Assessment

Presentation

Mathematics

9th - 12th Grade

Practice Problem

Hard

CCSS
7.SP.C.7B, HSS.CP.B.7, 7.SP.C.7A

Standards-aligned

Created by

Jesse Casares

Used 36+ times

FREE Resource

11 Slides • 7 Questions

1

Probability

Objectives

1. Construct Probability Models

2. Compute Probabilities of Equally Likely Outcomes

3. Find Probabilities of the Union of Two Sets

4. Use the Complement Rule to find Probabilities

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2

Multiple Choice

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The following M&M colors are in the bowl:
4 yellow, 6 orange, 3 green, 5 blue, and 2 brown.

What is the probability of selecting a green M&M?

1

 15\frac{1}{5}  

2

 310\frac{3}{10}  

3

 320\frac{3}{20}  

4

 110\frac{1}{10}  

3

Multiple Choice

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The following M&M colors are in the bowl:
4 yellow, 6 orange, 3 green, 5 blue, and 2 brown.

What is the probability of selecting a yellow M&M?

1

 15\frac{1}{5}  

2

 310\frac{3}{10}  

3

 320\frac{3}{20}  

4

 110\frac{1}{10}  

4

Multiple Choice

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What is the probability of spinning a number less than 5?

1

 12\frac{1}{2}  

2

 23\frac{2}{3}  

3

 56\frac{5}{6}  

4

 13\frac{1}{3}  

5

Multiple Choice

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What is the probability of spinning a number greater than 5?

1

 12\frac{1}{2}  

2

 23\frac{2}{3}  

3

 56\frac{5}{6}  

4

 16\frac{1}{6}  

6

Multiple Choice

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What is the probability of NOT rolling a 7 on a single regular die?

1

 12\frac{1}{2}  

2

 00  

3

 56\frac{5}{6}  

4

 66\frac{6}{6}  

7

Definition of Probability

it is an area of mathematics that deals with experiments that yield random results, yet admit a certain regularity.


Results of experiments over long periods produce patterns that enable us to make predictions.

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8

9

Probability Models

A probability model has two components

1) A sample space

2) An assignment of probabilities

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10

Properties of Probability

1) The probability assigned to each outcome is nonnegative.

2) The sum of all probabilities equals 1.

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11

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12

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13

Multiple Select

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Which tables represent a probability model?

1

(a)

2

(b)

3

(c)

4

(d)

14

Constructing a Probability Model

An example consists of rolling a fair die once. A die is a cube with each face having 1, 2, 3, 4, 5, or 6 dots on it. Construct a probabilty model for it.

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15

Multiple Choice

An experiment consists of tossing a coin. The coin is weighted as so that heads {H} is three times as likely to occur than tails {T}.

What are the probabilities of each outcome?

1

P(H)=12P\left(H\right)=\frac{1}{2}

P(T)=12P\left(T\right)=\frac{1}{2}

2

P(H) = 14P\left(H\right)\ =\ \frac{1}{4}

P(T)=34P\left(T\right)=\frac{3}{4}

3

P(H)=34P\left(H\right)=\frac{3}{4}

P(T)=14P\left(T\right)=\frac{1}{4}

4

P(H) 34P\left(H\right)\ \frac{3}{4}

P(T)=12P\left(T\right)=\frac{1}{2}

16

Define Event

17

Probability for Equally Likely Outcomes

18

Example of equally likely outcomes

Probability

Objectives

1. Construct Probability Models

2. Compute Probabilities of Equally Likely Outcomes

3. Find Probabilities of the Union of Two Sets

4. Use the Complement Rule to find Probabilities

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