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Mumz [18]
3 years ago
6

A couple of newlyweds decides to s their house with a brand new white picket fence. They purchase 120 feet of fencing materials.

If they build the fence in the shape of the rectangle that will maximize the area enclosed by the fence, what is the area that the fence will enclose? A. 900 ft^2B. 800 ft^2C. 500 ft^2 D. 0ft^2
Mathematics
1 answer:
Allisa [31]3 years ago
7 0

Answer:

option (A) 900 ft²

Step-by-step explanation:

Let the length be L and width of the area be 'B'

now,

Perimeter of the fence = 2 (L + B)

also,

2 (L + B) = 120 feet

or

L + B = 60 ft

or

L = 60 - B ft

Now,

The area of the fencing ground, A = LB

or

A = (60 - B)B

A = 60B - B²

now,

differentiating the area with respect to width B, we get

\frac{dA}{dB}= \frac{d(60B - B^2)}{dB}

or

\frac{dA}{dB} = 60 - 2B

for point of maxima or minima, put \frac{dA}{dB} = 0

thus,

60 - 2B = 0

or

2B = 60

or

B = 30 ft

to check for maxima or minima

\frac{d^2A}{dB^2} = - 2

since,

\frac{d^2A}{dB^2} is negative, B = 30 ft is point of maxima

therefore,

L = 60 - B = 60 - 30 = 30 ft

Thus,

Maximum area of the fencing ground = 30 × 30 = 900 ft²

Hence,

The correct answer is option (A) 900 ft²

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Answer:

<em>1. Sample Mean = 2.50 </em>

<em>2. Sample Variance = 1.35</em>

<em>3. Standard Deviation = 1.16</em>

Step-by-step explanation:

Note: As this question is not complete, similar can be found on internet where following are asked to calculate and here I will calculate these as well.

1. Sample Mean.

2. Sample Variance.

3. Sample Standard Deviation.

So, for sample mean to calculate from the given data points. We need to apply to following formula to calculate sample mean.

Sample Mean = (X1 + X2 + .... + XN) divided by Total number of data points.

Sample Mean = (0.17 + 1.94 + 2.62 + 2.35 + 3.05 + 3.15 + 2.53 + 4.81 + 1.92) divided by (9).

<em>Sample Mean = 2.50</em>

Likewise, from the answer of sample mean we can calculate sample variance by following steps.

<u><em>Solution: </em></u>

1.      Subtract the obtained mean from each of the data point given.

       (0.17 - 2.50) = -2.33

       (1.94 - 2.50) = -0.56

       (2.62 - 2.50) = 0.12

       (2.35 - 2.50) = -0.15

       (3.05 - 2.50) = 0.55

       (3.15 - 2.50) = 0.65

       (2.53 - 2.50) = 0.03

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       (1.92 - 2.50) = -0.58

2.      Square each of the differences obtained in step 1.

            -2.33^{2} = 5.43

            -0.56^{2} = 0.31

               0.12^{2} = 0.01

            -0.15^{2} = 0.02

              0.55^{2}  = 0.30

              0.65^{2}  = 0.42

              0.03^{2} = 0.01

              2.31^{2} = 5.34    

           -0.58^{2} = 0.34    

3.  Sum all of these squares.

(5.43 + 0.31 + 0.01 + 0.02 + 0.30 + 0.42 + 0.01 + 5.34 + 0.34) = 12.18

4. Divide 12.18 by (n-1), where n = 9.

<em>Sample Variance =  12.18/9 = 1.35</em>

Now, by using sample variance, we can calculate standard deviation with easy simple steps.

So, in order to find standard deviation, we just need to take the square root of sample variance that we have already calculated above.

<em>Standard Deviation = </em>\sqrt{1.35}<em> = 1.16 </em>

<em>Good Luck!</em>

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