Suppose GetThere Airlines increases their ticket price to $200+10n = 10(20+n)$ dollars. Then the number of tickets they sell is $40,000-1000n = 1000(40-n)$ .<span> Therefore, their total revenue is
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$$10(20+n)\cdot 1000(40-n) = 10000(20+n)(40-n) = 10000(800+20n-n^2).$$
This is maximized when $n=-\left(\frac{20}{2\cdot(-1)}\right)=10$ .<span> Therefore, they should charge </span><span>$200+10\cdot 10 = \boxed{300}$</span><span> dollars per ticket.</span>
Explanation:
To find the probability that the sample which fails to meet the required weight or the standard weight of the marshmallows having banana flavor if the process of production is working, such that probability for the weekly sample leads to shutdown of the production if the process of the production is running properly of 1 % of the probability that at least five boxes out of the twenty five sample fails to meet the standard weight which is less than one percent that is 
We know that for p = 0.8, 
Now using binomial simulation, we can determine that
for p = 0.0452
So the production process is to be redesigned for reducing the percentage of boxes of the Go Bananas of 16 ounces which failed to meet the required weight of the marshmallows having banana flavor if the production process is working properly to 5.42 percent.
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