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makvit [3.9K]
3 years ago
9

CAN SOMEONE PLEASE HELP ME WITH THIS GEOMETRY QUESTION THANK YOU !!!

Mathematics
1 answer:
Neko [114]3 years ago
3 0

Answer:

y=20\sqrt{1}

Step-by-step explanation:

The construction of the figure gives us three right triangles, where we can apply Pythagora's Theorem.

I have added two variables to the image in the picture attached.

On the triangle with sides y,h,16 we have:

y^2-16^2=h^2

On the triangle with sides h,z,25 we have:

z^2-25^2=h^2

Equating h^2:

y^2-16^2=z^2-25^2\qquad\qquad [1]

On the bigger triangle with sides y,z,16+25=41 we have:

y^2+z^2=41^2

Adding this last equation with [1]:

y^2-16^2+y^2+z^2=z^2-25^2+41^2

Simplifying:

2y^2-16^2=41^2-25^2

Operating:

2y^2-256=1681-625

2y^2=1056-256

2y^2=800

Dividing by 2:

y^2=400

Taking square root:

y=20

To enter the number in the required format:

\boxed{y=20\sqrt{1}}

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Answer:

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Step-by-step explanation:

Data given and notation

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\hat p=\frac{7}{15}=0.467 estimated proportion of seeds germinated

p_o=0.9 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion of germinated seeds is less than 0.9 or 90%.:  

Null hypothesis:p\geq 0.9  

Alternative hypothesis:p < 0.9  

When we conduct a proportion test we need to use the z statisitc, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.467 -0.9}{\sqrt{\frac{0.9(1-0.9)}{15}}}=-5.59  

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The significance level assumed is \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(z  

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