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Lelu [443]
2 years ago
5

The water pressure for a standard fire hydrant is 20 pounds per square inch. Convert this to

Mathematics
1 answer:
Kaylis [27]2 years ago
5 0
<h3>Answer:    2880 pounds per square foot</h3>

==========================================================

Explanation:

psi = pounds per square inch

1 foot = 12 inches

1 square foot = 144 square inches

I squared both sides to get the second equation. Think of a 12 by 12 square representing 12 inches along each side, so that leads to 12*12 = 144 square inches being the same as 1 square foot.

That last equation helps us convert from square inches to square feet like so:

20 \text{ psi} = \frac{20 \text{ pounds}}{1 \text{ square inch}}\\\\20 \text{ psi} = \frac{20 \text{ pounds}}{1 \text{ square inch}}*\frac{144 \text{ square inches}}{1 \text{ square foot}}\\\\20 \text{ psi} = \frac{20*144}{1*1}*\frac{\text{ pounds}}{\text{ square foot}}\\\\20 \text{ psi} = \frac{2880 \text{ pounds}}{1 \text{ square foot}}\\\\20 \text{ psi} = 2880 \frac{\text{ pounds}}{\text{ square foot}}\\\\20 \text{ psi} = 2880 \text{ pounds per square foot}\\\\

Notice in the jump from the second step to the third step, we have the "square inches" unit cancel out when dividing. All that's left is "pounds" up top and "square foot" down below.

In short, we simply multiply by 144 to go from 20 to 2880.

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(5x3 + 3)2 = (5x3)2 + (3)2 = 25x6 + 9 is this correct
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A marketing researcher wants to find a 96% confidence interval for the mean amount those visitors spend per person per day while
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Answer:

n=(\frac{2.054(12)}{4})^2 =37.97 \approx 38

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Step-by-step explanation:

Notation

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

\sigma=12 represent the population standard deviation

n represent the sample size  

ME = 4 the margin of error desired

Solution to the problem

When we create a confidence interval for the mean the margin of error is given by this formula:

ME=z_{\alpha/2}\frac{\sigma}{\sqrt{n}}    (a)

And on this case we have that ME =4 and we are interested in order to find the value of n, if we solve n from equation (a) we got:

n=(\frac{z_{\alpha/2} \sigma}{ME})^2   (b)

The critical value for 96% of confidence interval now can be founded using the normal distribution. The significance is \alpha=1-0.96 =0.04. And in excel we can use this formula to find it:"=-NORM.INV(0.02;0;1)", and we got z_{\alpha/2}=2.054, replacing into formula (b) we got:

n=(\frac{2.054(12)}{4})^2 =37.97 \approx 38

So then the minimum sample to ensure the condition given is n= 38

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3 years ago
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