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melamori03 [73]
3 years ago
10

This figure is made up of a quadrilateral and a semicircle.

Mathematics
2 answers:
GREYUIT [131]3 years ago
4 0
The answer is 35.7 units^2
vodomira [7]3 years ago
3 0

Here the figure is made up of a quadrilateral and a semi circle.

ABCD is the quadrilateral here. We will find the sides of the quadrilateral by using the distance formula.

If (x₁, y₁) and (x₂, y₂) are two points given, then the distance between two points by using distance formula is,

d =\sqrt({ x_{1}-x_{2})^2  +( y_{1} -y_{2}  )^2}

The co-ordinate of A is (-1,2) and co-ordinate of B is (-2,-1).

So the length of side AB = \sqrt{(-1-(-2))^2+(2-(-1))^2}

=\sqrt{(-1+2)^2+(2+1)^2}(As negative times negative is positive)

= \sqrt{(1)^2+(3)^2} =\sqrt{1+9}  =\sqrt{10}

The co-ordinate of C is (4,-3) and D is (5,0)

The length of side CD

= \sqrt(4-5)^2+(-3-0)^2}

= \sqrt{(-1)^2+(-3)^2}

= \sqrt{1+9} =\sqrt{10}

So the sides AB and CD are equal.

The length of side AD

= \sqrt{(-1-5)^2+(2-0)^2}

= \sqrt{(-6)^2+(2)^2} =\sqrt{36+4} =\sqrt{40}

The length of side BC

= \sqrt{(-2-4)^2+(-1-(-3))^2}

= \sqrt{(-2-4)^2+(-1+3)^2}

= \sqrt{(-6)^2+(2)^2}=\sqrt{36+4} =\sqrt{40}

So the lengths of the sides AD and BC are equal.

So the quadrilateral is a rectangle whose length is \sqrt{40} and width is \sqrt{10}.

Area of a rectangle = length × width

= (\sqrt{40}) (\sqrt{10})

= \sqrt{(40)(10)}=\sqrt{400}

= 20 unit^2

Now the diameter of the semicircle is the side AD = \sqrt{40}

So, the radius of the semi-circle = \frac{\sqrt{40}}{2}

= \frac{\sqrt{(4)(10)}}{2}

= \frac{(\sqrt{4})(\sqrt{10})}{2}

= \frac{2\sqrt{10}}{2} = \sqrt{10}

Area of semi-circle = \frac{1}{2} \pi r^2, where r is the radius.

= \frac{1}{2} \pi  (\sqrt{10})^2

= \frac{1}{2} \pi   (10)

= \frac{(\pi)(10)}{2}

= \frac{10\pi}{2}   = 5\pi = 15.7 unit^2 ( Approximately taken to the nearest tenth)

Total area of the figure = (20+15.7) unit^2 = 35.7 unit^2

We have got the required answer.

Option a is correct here.

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A sample of 11001100 computer chips revealed that 62b% of the chips fail in the first 10001000 hours of their use. The company's
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Answer:

Rule

If;

P-value > significance level --- accept Null hypothesis

P-value < significance level --- reject Null hypothesis

Z score > Z(at 90% confidence interval) ---- reject Null hypothesis

Z score < Z(at 90% confidence interval) ------ accept Null hypothesis

Null hypothesis: H0 = 0.60

Alternative hypothesis: Ha <> 0.62

z score = 1.35

P value = P(Z<-1.35) + P(Z>1.35) = 0.0885 + 0.0885= 0.177

Since z at 0.10 significance level is between -1.645 and +1.645 and the z score for the test (z = 1.35) falls with the region bounded by Z at 0.1 significance level. And also the two-tailed hypothesis P-value is 0.177 which is greater than 0.1. Then we can conclude that we don't have enough evidence to FAIL or reject the null hypothesis, and we can say that at 0.10 significance level the null hypothesis is valid.

Question; A sample of 1100 computer chips revealed that 62% of the chips fail in the first 1000 hours of their use. The company's promotional literature states that 60% of the chips fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that fail is different from the stated percentage. Determine the decision rule for rejecting the null hypothesis, H0, at the 0.10 level.

Step-by-step explanation:

Given;

n=1100 represent the random sample taken

Null hypothesis: H0 = 0.60

Alternative hypothesis: Ha <> 0.62

Test statistic z score can be calculated with the formula below;

z = (p^−po)/√{po(1−po)/n}

Where,

z= Test statistics

n = Sample size = 1100

po = Null hypothesized value = 0.60

p^ = Observed proportion = 0.62

Substituting the values we have

z = (0.62-0.60)/√{0.60(1-0.60)/1100}

z = 1.354

z = 1.35

To determine the p value (test statistic) at 0.01 significance level, using a two tailed hypothesis.

P value = P(Z<-1.35) + P(Z>1.35) = 0.0885 + 0.0885= 0.177

Since z at 0.10 significance level is between -1.645 and +1.645 and the z score for the test (z = 1.35) falls with the region bounded by Z at 0.1 significance level. And also the two-tailed hypothesis P-value is 0.177 which is greater than 0.1. Then we can conclude that we don't have enough evidence to FAIL or reject the null hypothesis, and we can say that at 0.10 significance level the null hypothesis is valid.

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Step-by-step explanation:

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