Answer:
The following are the answer to this question:
Step-by-step explanation:
In the given question the numeric value is missing which is defined in the attached file please fine it.
Calculating the probability of the distribution for x:
[tex]\to f(x) = 0.19\ for \ x=14\\\\\to f(x) = 0.29 \ for\ x=7\\\\\to f(x) = 0.38\ for \ x=1\\\\\to f(x)=0.14 \ for \ x=0\\[/tex]
The formula for calculating the mean value:
[tex]\bold{ E(X)= x \times f(x)}[/tex]
[tex]=14 \times 0.19+7 \times 0.29+1 \times 0.38+0\times 0.14\\\\=2.66 + 2.03+0.38+ 0\\\\=5.07[/tex]
[tex]\bold{E(X^2) = x^2 \times f(x)}[/tex]
[tex]=14^2 \times 0.19+7^2 \times 0.29+1^2 \times 0.38+0^2 \times 0.14 \\\\=196 \times 0.19+ 49 \times 0.29+1 \times 0.38+0 \times 0.14\\\\= 37.24+ 14.21+ 0.38+0 \\\\=51.83[/tex]
use formula for calculating the Variance:
[tex]\to \bold{\text{Variance}= E(X^2) -[E(X)]^2}[/tex]
[tex]= 51.83 - (5.07)^2\\\\= 51.83 - 25.70\\\\=26.13[/tex]
calculating the value of standard deivation:
Standard Deivation (SD) = [tex]\sqrt{Variance}[/tex]
[tex]= \sqrt{26.13} \\\\=5.111[/tex]