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kirill [66]
3 years ago
6

Of all rectangles with area 324324​, which one has the minimum​ perimeter? Let P and w be the perimeter and​ width, respectively

, of the rectangle. Write the objective function in terms of P and w. Assume that the width is less than the length if the dimensions are unequal.
Mathematics
1 answer:
ra1l [238]3 years ago
8 0

Answer:

For w = 18 units perimeter is minimum

P = 2(18 + w)

Step-by-step explanation:

Given;

Area of the rectangle = 324 units²

P is the perimeter

w is the width

Let L be the length of the rectangle

therefore,

P = 2(L + w)  ............(1)

also,

Lw = 324

or

L = \frac{324}{w} ..........(2)

substituting 2 in 1

P = 2(\frac{324}{w} + w)

now,

for minimizing the perimeter

\frac{dp}{dw}=\frac{d(2(\frac{324}{w} + w))}{dw} = 0

or

2((-1)\frac{324}{w^2}+1) = 0

or

(-1)\frac{324}{w^2}+1 = 0

or

(-1)\frac{324}{w^2} = -1

or

w² = 324

or

w = 18 units

For w = 18 units perimeter is minimum

therefore,

from 2

L = \frac{324}{18}

or

L = 18 units

objective function for P is:

P = 2(18 + w)

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Step-by-step explanation:

A chi-square goodness of fit test "determines if a sample data matches a population".

A chi-square test for independence "compares two variables in a contingency table to see if they are related. In a more general sense, it tests to see whether distributions of categorical variables differ from each another".

Assume the following dataset:

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Total                         50                    50                    50              150

We need to conduct a chi square test in order to check the following hypothesis:

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The level os significance assumed for this case is \alpha=0.05

The statistic to check the hypothesis is given by:

\sum_{i=1}^n \frac{(O_i -E_i)^2}{E_i}

The table given represent the observed values, we just need to calculate the expected values with the following formula E_i = \frac{total col * total row}{grand total}

And the calculations are given by:

E_{1} =\frac{50*33}{150}=11

E_{2} =\frac{50*33}{150}=11

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E_{8} =\frac{50*30}{150}=10

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And the expected values are given by:

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Number of distance walked farther than Ronnie :

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