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devlian [24]
2 years ago
9

What is the area of rectangle ABCD with vertices A -3,0 B 3,2 C 4,-1 D -2,-3

Mathematics
1 answer:
Naddik [55]2 years ago
7 0

For this, simply find the width and length by finding the distance between the two points. This can be done using the equation \sqrt{(y2 - y1)^2 + (x2 - x1)^2}

AB(length): \sqrt{(0 - 2)^2 + (3 - (-3))^2}

--> \sqrt{-2^2 + 6^2}

---> \sqrt{40} = 6.32

BC(width): \sqrt{(2 - (-1))^2 + (4 - 3)^2

--> \sqrt{(2 + 1)^2 + 1^2}

---> \sqrt{27 + 1}

----> \sqrt{28} = 5.29 ≈ 5.3

Area = 33.496 ≈ 33.5

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A laboratory scale is known to have a standard deviation (sigma) or 0.001 g in repeated weighings. Scale readings in repeated we
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Answer:

99% confidence interval for the given specimen is [3.4125 , 3.4155].

Step-by-step explanation:

We are given that a laboratory scale is known to have a standard deviation (sigma) or 0.001 g in repeated weighing. Scale readings in repeated weighing are Normally distributed with mean equal to the true weight of the specimen.

Three weighing of a specimen on this scale give 3.412, 3.416, and 3.414 g.

Firstly, the pivotal quantity for 99% confidence interval for the true mean specimen is given by;

        P.Q. = \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \bar X = sample mean weighing of specimen = \frac{3.412+3.416+3.414}{3} = 3.414 g

            \sigma = population standard deviation = 0.001 g

            n = sample of specimen = 3

            \mu = population mean

<em>Here for constructing 99% confidence interval we have used z statistics because we know about population standard deviation (sigma).</em>

So, 99% confidence interval for the population​ mean, \mu is ;

P(-2.5758 < N(0,1) < 2.5758) = 0.99  {As the critical value of z at 0.5% level

                                                            of significance are -2.5758 & 2.5758}

P(-2.5758 < \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } < 2.5758) = 0.99

P( -2.5758 \times {\frac{\sigma}{\sqrt{n} } } < {\bar X - \mu} < 2.5758 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

P( \bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

<u>99% confidence interval for</u> \mu = [ \bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } } , \bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } } ]

                                             = [ 3.414-2.5758 \times {\frac{0.001}{\sqrt{3} } } , 3.414+2.5758 \times {\frac{0.001}{\sqrt{3} } } ]

                                             = [3.4125 , 3.4155]

Therefore, 99% confidence interval for this specimen is [3.4125 , 3.4155].

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A=1/2 ap <br> What is the value of p if A=40ft2 and <br> a= 8ft?
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A=1/2ap

(40ft^2)=1/2*8*p

p=(40ft^2)/4
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