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Fantom [35]
2 years ago
6

Find the area of the kite

Mathematics
1 answer:
dexar [7]2 years ago
4 0

Given:

A figure of a kite.

To find:

The area of the given kite.

Solution:

The area of a kite is the half of the product of its diagonals.

A=\dfrac{d_1d_2}{2}             ...(i)

Where, d_1,d_2 are two diagonals of the kite.

From the given figure it is clear that the length of one diagonal is the sum of 12 and 8.

d_1=12+8

d_1=20

Let the second diagonal be 2x. The first diagonals bisect the second diagonal. So, the length of one parts of the diagonal is x.

Diagonals of a kite are perpendicular to each other. Using Pythagoras theorem, we get

Hypotenuse^2=Perpendicular^2+Base^2

13^2=x^2+12^2

169-144=x^2

25=x^2

5=x

The length of second diagonal is:

d_2=2x

d_2=2(5)

d_2=10

Substituting d_1=20,d_2=10 in (i), we get

A=\dfrac{20\times 10}{2}

A=\dfrac{200}{2}

A=100

Therefore, the area of the kite is 100 square units.

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lawyer [7]

Answer:

IIaI-IbII

Step-by-step explanation:

II-30I-I-5II=

I30-5I=

I25I=

25

II-5I-I-30II=

I5-30I=

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25

8 0
2 years ago
Jennifer is saving money to buy a bike. The bike costs $223. She has $115 saved, and each week she adds $18 to her savings.
GuDViN [60]

Answer:

6 weeks

Step-by-step explanation:

18x 6 = 108

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5 0
2 years ago
Read 2 more answers
The bad debt ratio for a financial institution is defined to be the dollar values of loans defaulted divided by the total dollar
Nimfa-mama [501]

Answer:

(a) NULL HYPOTHESIS, H_0 : \mu \leq  3.5%

    ALTERNATE HYPOTHESIS, H_1 : \mu > 3.5%

(b) We conclude that the the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks.

Step-by-step explanation:

We are given that a random sample of seven Ohio banks is selected.The bad debt ratios for these banks are 7, 4, 6, 7, 5, 4, and 9%.The mean bad debt ratio for all federally insured banks is 3.5%.

We have to test the claim of Federal banking officials that the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks.

(a) Let, NULL HYPOTHESIS, H_0 : \mu \leq  3.5% {means that the the mean bad debt ratio for Ohio banks is less than or equal to the mean for all federally insured banks}

ALTERNATE HYPOTHESIS, H_1 : \mu > 3.5% {means that the the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks}

The test statistics that will be used here is One-sample t-test;

                T.S. = \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } ~ t_n_-_1

where,  \bar X = sample mean debt ratio of Ohio banks = 6%

             s = sample standard deviation = \sqrt{\frac{\sum (X-\bar X)^{2} }{n-1} } = 1.83%

             n = sample of banks = 7

So, test statistics = \frac{6-3.5}{\frac{1.83}{\sqrt{7} } }  ~ t_6

                             = 3.614

(b) Now, at 1% significance level t table gives critical value of 3.143. Since our test statistics is more than the critical value of t so we have sufficient evidence to reject null hypothesis as it will fall in the rejection region.

Therefore, we conclude that the the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks.

Hence, Federal banking officials claim was correct.

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3 years ago
Let x and y be positive integers and x be greater than y. 11x/11y =
navik [9.2K]
\frac{11x}{11y} =\frac{x}{y}
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3 years ago
Harold took five different samples of thirty-five randomly selected students from the 520 students he surveyed. The
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Answer:

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3 0
3 years ago
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