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Yanka [14]
3 years ago
11

Sammy is trying to determine how many triangles she can create out of a square grid that has a side of 10 inches. Use the image

below to determine the area of the triangle and how many she can cut out.
Triangle with height of 5 inches and base of 10 inches aligned to the right side of a 10 by 10 inch square grid.

The area of the triangle is 50 in2, so she can create only 2 triangles.
The area of the triangle is 50 in2, so she can create only 4 triangles.
The area of the triangle is 25 in2, so she can create only 2 triangles.
The area of the triangle is 25 in2, so she can create only 4 triangles.
plz help
Mathematics
2 answers:
KengaRu [80]3 years ago
8 0

Answer:

The answer is, "The area of the triangle is 50 in2, so she can create only 4 triangles."

Hopes this helps. ;D

Oksanka [162]3 years ago
3 0
I think the answer is C. (a.k.a the third one)
I hoped this helped !!
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Step-by-step explanation:

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Using imaginary numbers:

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Answer:

(A)  H_0 : μ = 22 ; H_A : μ ≠ 22

(B) Value of the test statistic = -2.69

Step-by-step explanation:

We are given that a local bottler in Hawaii wishes to ensure that an average of 22 ounces of passion fruit juice is used to fill each bottle. He takes a random sample of 65 bottles. The mean weight of the passion fruit juice in the sample is 21.54 ounces. Assume that the population standard deviation is 1.38 ounce.

We have to test the accuracy of the bottling process.

(A) Let, NULL HYPOTHESIS, H_0 : \mu = 22 ounces  {means that an average of 22 ounces of passion fruit juice is used to fill each bottle}

ALTERNATE HYPOTHESIS, H_A : \mu \neq 22 ounces  {means that an average of 22 ounces of passion fruit juice is used to fill each bottle}

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

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

where, \bar X = sample mean weight of the passion fruit juice = 21.54 ounces

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(B) So, <u>test statistics</u> =  \frac{21.54-22}{\frac{1.38}{\sqrt{65} } }

                                  = -2.69

Hence, the value of test statistics is -2.69.

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