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aleksandrvk [35]
1 year ago
5

A diagonal of a cube measures StartRoot 150 EndRoot cm. The diagonal of a face measures 10 cm.

Mathematics
1 answer:
jekas [21]1 year ago
8 0

The side of the edge of the cube is 7. 07cm

<h3>How to determine the length</h3>

Given that a  diagonal of a cube measures the square root of 150 cm and the diagonal of a face measures 10 cm.

Let's find the edge of the face

Note that the face of the cube is in the shape of square .

The diagonal of the face is 10 cm.

The formula for  diagonal of square = \sqrt{2a}

a is the side of the square face

We have that,

\sqrt{2a}  = 10

Make 'a' subject of formula

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

Find the surd of the equation, we have

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

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

a = 5\sqrt{2}

a = 7. 07cm

Thus, the side of the edge of the cube is 7. 07cm

Learn more about a cube here:

brainly.com/question/1972490

#SPJ1

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Step-by-step explanation:

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Step-by-step explanation:

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An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 180180 engin
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Answer:

z=\frac{4.6-4.8}{\frac{0.9}{\sqrt{180}}}=-2.98    

p_v =P(Z  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis,and we have enough evidence to conclude that the true mean is significantly lower thn 4.8 at 10% of signficance.  

Step-by-step explanation:

Data given and notation  

\bar X=4.6 represent the sample mean

\sigma=0.9 represent the population standard deviation

n=180 sample size  

\mu_o =4.8 represent the value that we want to test

\alpha=0.1 represent the significance level for the hypothesis test.

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if thetrue mean is below the specifications, the system of hypothesis would be:  

Null hypothesis:\mu \geq 4.8  

Alternative hypothesis:\mu < 4.8  

If we analyze the size for the sample is > 30 and we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}  (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

z=\frac{4.6-4.8}{\frac{0.9}{\sqrt{180}}}=-2.98    

P-value

Since is a one sided test the p value would be:  

p_v =P(Z  

Conclusion  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis,and we have enough evidence to conclude that the true mean is significantly lower thn 4.8 at 10% of signficance.  

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65-9=56

56 divided by 8 is 7

So they will need 7 tents

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