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# 5 Let X denote the random variable that gives the sum of the faces that fall uppermost when two fair die are rolled. Create a probability distribution of X. P(X = x) 2. い 8. 12 2 34 5 78910 1 12 In the space above right, draw a histogram of the probability distribution. Find: a. P(X = 6) = b. P(X = 6 or 12) = c. P(X < 6) = Types of sets of X: 1. discrete, finite i.e. 2. discrete infinite i.e. 3. continuous i.e. Determine the probability distribution of the following: After the private screening of a new tv pil #28 audience members were asked to rate the show on a scale of 1 - 10. From a group of 140 people the following responses were obtained: rating x 2 4 7. 10 11 23 21 28 29 16 frequency n(x) P(X = x) 4. 3 4

# 5 Let X denote the random variable that gives the sum of the faces that fall uppermost when two fair die are rolled. Create a probability distribution of X. P(X = x) 2. い 8. 12 2 34 5 78910 1 12 In the space above right, draw a histogram of the probability distribution. Find: a. P(X = 6) = b. P(X = 6 or 12) = c. P(X < 6) = Types of sets of X: 1. discrete, finite i.e. 2. discrete infinite i.e. 3. continuous i.e. Determine the probability distribution of the following: After the private screening of a new tv pil #28 audience members were asked to rate the show on a scale of 1 - 10. From a group of 140 people the following responses were obtained: rating x 2 4 7. 10 11 23 21 28 29 16 frequency n(x) P(X = x) 4. 3 4

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 21E
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# 5 Let X denote the random variable that gives the sum of the faces that fall uppermost when two fair die are rolled. Create a probability distribution of X. P(X = x) 8. 12 34 5 789 10 1 12 In the space above right, draw a histogram of the probability distribution. Find: a. Р(Х - 6) 3D b. P(X = 6 or 12) = с. Р(Х < 6) 3D Types of sets of X : 1. discrete, finite i.e. 2. discrete infinite i.e. 3. continuous i.e. Determine the probability distribution of the following: After the private screening of a new tv pil #28 audience members were asked to rate the show on a scale of 1 - 10. From a group of 140 people the following responses were obtained: rating x 1 2 4 7. 8 10 11 23 21 28 29 16 frequency n(x) P(X = x) 4. 3 4
Transcribed Image Text:# 5 Let X denote the random variable that gives the sum of the faces that fall uppermost when two fair die are rolled. Create a probability distribution of X. P(X = x) 8. 12 34 5 789 10 1 12 In the space above right, draw a histogram of the probability distribution. Find: a. Р(Х - 6) 3D b. P(X = 6 or 12) = с. Р(Х < 6) 3D Types of sets of X : 1. discrete, finite i.e. 2. discrete infinite i.e. 3. continuous i.e. Determine the probability distribution of the following: After the private screening of a new tv pil #28 audience members were asked to rate the show on a scale of 1 - 10. From a group of 140 people the following responses were obtained: rating x 1 2 4 7. 8 10 11 23 21 28 29 16 frequency n(x) P(X = x) 4. 3 4
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