Answer:
The standard deviation of this probability distribution is 1.2.
Step-by-step explanation:
We have that:
P(X = 0) = 0.25
P(X = 1) = 0.3
P(X = 2) = 0.1
P(X = 3) = 0.35
Mean:
Each value multiplied by its probability. So
Variance:
Sum of the squares of the values subtracted from the mean, and multiplied by its probability.

Standard deviation:
Square root of the variance. So

The standard deviation of this probability distribution is 1.2.
Assume independence because there are probably a lot of widgets. 1/100 x 1/100 = 1/10,000
Answer:
80
Step-by-step explanation:
-4f(x)=-12x+44
-4f(-3)=36+44=80
1. 0.2,0.4,0.54,0.61
2.0.02,0.11,0.3,0.45
3.1.02,1.24,1.33,1.7
4.1.01,1.06,1.2,1.42
5.0.87,0.9,0.98,1.23
6.0.06,0.5,1.4,1.23
7.0.003,0.031,0.033.0.03
8.0.002.0.022.0.02.0.2