The probability that he lost less than 19 pounds is 7 / 9.
According to statement
The weight loss by individual is 12 Pounds
So, by uniform distribution probability
P(c ≤ x ≤ d) = (d - c) / (b - a)
Substitute the values in it then
P(12 ≤ x ≤ 19) = (19 - 12) / (20 - 11)
P(12 ≤ x ≤ 19) = 7 / 9
So, the probability that he lost less than 19 pounds is 7 / 9.
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Answer:
The maximum profit is reached with 4 deluxe units and 6 economy units.
Step-by-step explanation:
This is a linear programming problem.
We have to optimize a function (maximize profits). This function is given by:

being D: number of deluxe units, and E: number of economy units.
The restrictions are:
- Assembly hours: 
- Paint hours: 
Also, both quantities have to be positive:

We can solve graphically, but we can evaluate the points (D,E) where 2 or more restrictions are saturated (we know that one of this points we will have the maximum profit)

The maximum profit is reached with 4 deluxe units and 6 economy units.
Answer:
1.5
Step-by-step explanation:
We can set up the equation 0.50X = 0.750
Divide by 0.5 and we get .75/.5=1.5
Answer:
Sorry can not see the pic write it down so i can solve it for you
Step-by-step explanation: