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OverLord2011 [107]
3 years ago
12

Compatible numbers to estimate the quotient 737.5÷9

Mathematics
2 answers:
Korolek [52]3 years ago
8 0
80 is the estimate that I say it's pretty close
MatroZZZ [7]3 years ago
5 0
I believe it's 70 cause if you round 737.5 to 700 and 9 to 10 you divide and it gives you 10
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Which graph shows the solution to the inequality -x + 2 > 1
Darya [45]
-x+2 > 1
-x+2+x > 1+x .... add x to both sides
2 > 1+x
x+1 < 2
x+1-1 < 2-1 ... subtract 1 from both sides
x < 1

After solving for x, we get x < 1

To graph this, plot an open circle at 1 on the number line and shade to the left of this value. The open circle indicates that 1 is not part of the solution set.

If your teacher requires you to graph this on an xy grid, then draw a vertical line through 1 on the x axis. Make this vertical line a dashed line. Then shade the entire region to the left of this dashed line. Any point in this shaded region will have an x coordinate that is less than 1. The dashed line acts like the open circle. The dashed line tells the reader "any point on this dashed line is not part of the solution set"
8 0
3 years ago
I think the answer is C is this correct? And if not can I get some help?
blsea [12.9K]

Answer:

yes it is c you are correct

4 0
3 years ago
How do the values of the 1s in 14.937 and 6.1225 compare?
elena-s [515]

Answer:

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Step-by-step explanation:

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3 0
3 years ago
Help please this is due Friday
alexdok [17]
X=0.697
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7 0
3 years ago
You want to obtain a sample to estimate a population proportion. At this point in time, you have no reasonable preliminary estim
pogonyaev

Answer:

n=\frac{0.5(1-0.5)}{(\frac{0.025}{1.28})^2}=655.36  

And rounded up we have that n=656

Step-by-step explanation:

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 80% of confidence, our significance level would be given by \alpha=1-0.80=0.20 and \alpha/2 =0.10. And the critical value would be given by:

z_{\alpha/2}=\pm 1.28

Solution to the problem

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)  

Since we don't have prior info for the proportion of interest we can use \hat p=0.5 as estimator. And on this case we have that ME =\pm 0.025 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)  

And replacing into equation (b) the values from part a we got:

n=\frac{0.5(1-0.5)}{(\frac{0.025}{1.28})^2}=655.36  

And rounded up we have that n=656

5 0
3 years ago
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