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zloy xaker [14]
3 years ago
14

"A developer wants to enclose a rectangular grassy lot that borders a city street for parking. If the developer has 272 feet of

fencing and does not fence in the side along the street, what is the largest area that can be enclosed?"
Mathematics
1 answer:
pentagon [3]3 years ago
6 0

Answer:

The largest area that can be enclosed is 9248 square feet.

Step-by-step explanation:

This is a typical problem of optimization that can be solved using derivatives. We have a rectangular region, and let us denote the height by x, and the base by y.

Then, the area of the rectangle is A(x,y)=xy. Notice that the area is a function of x and y, but if we want to use calculus, we should have only one variable. This can be done if we find a relationship between both variables.

Recall that the fences will not bu used in the whole perimeter of the rectangular area, but only in three sides. Hence, 2x+y=272. (Without lost of generality we can consider 2y+x=272, instead.)

Then, y=272-2x ans substituting in the formula for the area:

A(x) = x(272-2x) = 272x-2x^2.

Taking derivative with respect to x:

A'(x) = 272-4x.

Its only zero can be found solving the equation 272-4x=0. Hence, its only zero of A'(x) is x=68. In order to assure that 68 is a point of maximum, we find A''(x) = -4 and conclude that, in effect, 68 is a point of maximum.

We obtain the value of y substituting the value of x in the relationship between both variables: y=272-2*68=136. With the values of x and y we can calculate the desired area:

A=68*136=9248.

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It seems like you've already answered a part of this question yourself, but let's get into the details.

<h3>Parts A and B: 5 Number Summary</h3>

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The <em>median</em> is the "middle value" of a set of ordered data. When we have an odd number of data points, the median is simply the middle number of the set, but when we have an even number, as is the case with these two data sets, we have to find the number halfway between the two middle values. In data set 1, that number is

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The median splits any set of data into two parts: all the data points <em>smaller </em>than the median, and all of those <em>larger</em> than the median. In data set one, it's the two subsets {1, 4, 9, 16} and {25, 36, 49, 64}. The median of the smaller set gives us the <em>first quartile</em>, and the median of the larger one gives us the <em>third quartile.</em>

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To get a visual for how our data is spread out, we can visualize our five-number-summary with a <em>box plot</em>. I've created a box plot for each of the data sets in the first two image uploads. The little nubs on the far ends, sometimes called the "whiskers" of the plot, are the minimum and maximum of the data set; the "box" represents the <em>interquartile range</em> of the data: all the values between the first and third quartile of the data; and the notch going down through the box is the median of the data.

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Contrast that with data set 2, which has a totally flat, uniform distribution when viewed at a constant interval of 4 units. The box plot and histogram work in tandem to give us a visual, quantitative picture of our data which we can use to make informed conclusions about it.

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