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a discrete probability distribution is defined by the function P(X = x) = (x^2 + x) / 20 ; x = 1, 2, 3 a) use this information to fill in the second column in the table. The additional columns are for you to use as needed when finishing other parts of this problem. There may be an extra column. xP ( X = x)    1     2     3     total      b) describe how you can determine that the algebraic function does indeed define a discrete probability c) use another column on the table as needed to find the mean, also known as the expected value d) Use another column on the table as needed to find quantities needed to calculate the standard deviation.

Question

a discrete probability distribution is defined by the function 

P(X = x) = (x^2 + x) / 20 ; x = 1, 2, 3

 

a) use this information to fill in the second column in the table. The additional columns are for you to use as needed when finishing other parts of this problem. There may be an extra column.

 

x P ( X = x)        
1          
2          
3          
total          

 

b) describe how you can determine that the algebraic function does indeed define a discrete probability

 

c) use another column on the table as needed to find the mean, also known as the expected value

 

d) Use another column on the table as needed to find quantities needed to calculate the standard deviation. 

check_circleAnswer
Step 1

The given discrete probability distribution is

x2 x
P(X x)
20 1,2,3
12 1
Р(X %3D1)
= 0.1
20
222
= 0.3
P(X 2)
20
323
Р(X 3 3)
0.6
20
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Image Transcriptionclose

x2 x P(X x) 20 1,2,3 12 1 Р(X %3D1) = 0.1 20 222 = 0.3 P(X 2) 20 323 Р(X 3 3) 0.6 20

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Step 2

a) The calculation is shown in table 

хХ Р(x 3 х)| х? Х Р(х %—D х)
0.1
P(Xx)
X
1
0.1
0.1
2
0.3
0.6
1.2
3
0.6
1.8
5.4
Total
6.7
1
2.5
help_outline

Image Transcriptionclose

хХ Р(x 3 х)| х? Х Р(х %—D х) 0.1 P(Xx) X 1 0.1 0.1 2 0.3 0.6 1.2 3 0.6 1.8 5.4 Total 6.7 1 2.5

fullscreen
Step 3

b) A discrete probability distribution takes values that are countable, basically it takes whole no.

The probability of each discrete random variable is bet...

η
Σ
P(x)1
i=1
help_outline

Image Transcriptionclose

η Σ P(x)1 i=1

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