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garri49 [273]
2 years ago
13

Jeremy rides a Ferris wheel. The graph shows h, Jeremy’s height above the ground at any time during the ride. Which inequality r

epresents the heights shown on the graph? 10 < h < 50 10 ≤ h ≤ 50 h > 10 or h < 50 h ≥ 10 or h ≤ 50

Mathematics
2 answers:
geniusboy [140]2 years ago
4 0

Answer:

10 \leq h\leq 50

Step-by-step explanation:

Jeremy rides a Ferris wheel. The graph shows h, Jeremy’s height above the ground at any time during the ride

Number line represents the height above the ground at any time during the ride.

the shaded part of the graph lies between 10 and 50, also we have solid dot at 10 and 50.

So height of the inequality is

10 \leq h\leq 50

fredd [130]2 years ago
4 0

Answer:

b. 10 ≤ h ≤ 50

Step-by-step explanation: just took the test

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2 years ago
1. These four lines have been graphed on the same coordinate grid. Which lines are parallel to each other?
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Searchers are planning a study to estimate the impact on crop yield when no-till is used in combination with residue retention a
VladimirAG [237]

Answer:

n=77

Step-by-step explanation:

Notation and definitions

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The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The population proportion have the following distribution

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

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 0.035 or 3.5% 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)  

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 95% of confidence, our significance level would be given by \alpha=1-0.95=0.05 and \alpha/2 =0.025. And the critical value would be given by:

z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96

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n=\frac{0.025(1-0.025)}{(\frac{0.035}{1.96})^2}=76.44  

And rounded up we have that n=77

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Answer:

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Step-by-step explanation:

Find the diagram attached.

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