5. On the first line of the table, enter the value for P(X ≤ 0) that you found in question#4(. On the second line, enter the value for P(X ≤ 1)(Number 4 reffered to the table only divided into two.) Continue filling in the whole table. You may notice a shortcut as you go... 6. What is the last entry? Why does this make sense? 7. We use the shorthand F(x) to mean P(X ≤ x), and we call F(x) the Cumulative Probability Distribution for our random variable X. Why do you think we call it that?
5. On the first line of the table, enter the value for P(X ≤ 0) that you found in question#4(. On the second line, enter the value for P(X ≤ 1)(Number 4 reffered to the table only divided into two.) Continue filling in the whole table. You may notice a shortcut as you go... 6. What is the last entry? Why does this make sense? 7. We use the shorthand F(x) to mean P(X ≤ x), and we call F(x) the Cumulative Probability Distribution for our random variable X. Why do you think we call it that?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
5. On the first line of the table, enter the value for P(X ≤ 0) that you found in question#4(. On the second line,
enter the value for P(X ≤ 1)(Number 4 reffered to the table only divided into two.) Continue filling in the whole table. You may notice a shortcut as you
go...
6. What is the last entry? Why does this make sense?
7. We use the shorthand F(x) to mean P(X ≤ x), and we call F(x) the Cumulative Probability Distribution
for our random variable X. Why do you think we call it that?
Transcribed Image Text:#siblings (x) | P(X = x)
0.21
0
1
2
3
4
5
6
7
0.32
0.25
0.14
0.05
0.01
0.01
0.01
P(X ≤ x)
Transcribed Image Text:The following table gives a Probability Distribution for a random variable X, which represents the number
of siblings of a randomly chosen student at Duquesne:
#siblings (x) | P(X
0
4567221
3
=
0.21
0.32
0.25
0.14
0.05
0.01
0.01
0.01
x)
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