# 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
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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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