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pychu [463]
3 years ago
9

Subtract 4.32 x 10^6 from 7.57 x 10^6. Show your work. Write your answer in index notation.

Mathematics
1 answer:
Schach [20]3 years ago
8 0

Answer:

3.25 × 10^6

Step-by-step explanation:

7.57×10^6 - 4.32 × 10^6

(7.57 - 4.32) × 10^6

<u>3.25 × 10^6</u>

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Reciprocal of. 0×7/11​
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Answer:

it doesn't exist

Step-by-step explanation:

the expression 0×7/11​ is equivalent to 0. 1/0 isn't possible, so its reciprocal doesn't exist.

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Janey's height from age 7 to 12 can be modeled by the function h(t)=45+8/5t, where h(t) is Janey's height in inches and t is tim
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Write the ratio as a fraction in the fourth column of the table.

6 0
3 years ago
{ (1, 1) , (19, 88) , (-3, -5) , (1/2 , -3) , (100, 101) , (200, 9) , (0, -33) }
yuradex [85]

Answer:

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Step-by-step explanation:

4 0
2 years ago
Please help I can’t figure this out!
Monica [59]

Explanation:

All values in the x-column get filled with -2.

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2 years ago
A public health official is planning for the supplyof influenza vaccine needed for the upcoming flu season. She wants to estimat
Marizza181 [45]

Answer:

n=\frac{0.5(1-0.5)}{(\frac{0.04}{1.64})^2}=420.25  

And rounded up we have that n=421

Step-by-step explanation:

We know that the sample proportion have the following distribution:

\hat p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 90% of confidence, our significance level would be given by \alpha=1-0.90=0.1 and \alpha/2 =0.05. And the critical value would be given by:

z_{\alpha/2}=-1.64, z_{1-\alpha/2}=1.64

The margin of error for the proportion interval is given by this formula:  

ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}    (a)  

And on this case we have that ME =\pm 0.04 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}   (b)  

We assume that a prior estimation for p would be \hat p =0.5 since we don't have any other info provided. And replacing into equation (b) the values from part a we got:

n=\frac{0.5(1-0.5)}{(\frac{0.04}{1.64})^2}=420.25  

And rounded up we have that n=421

5 0
3 years ago
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