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valina [46]
3 years ago
7

Read the paragraphs.

Mathematics
2 answers:
svetoff [14.1K]3 years ago
7 0

Answer:

the answer is B:  The cost of poor health among uninsured people was almost $125 billion in 2004 (Hadley & Holahan, 2004).

Step-by-step explanation:

it provides a statistic to support the claim while the other options are just making claims it also says its the correct answer on edge

GuDViN [60]3 years ago
5 0

Answer:

Uninsured people are less likely to receive care and more likely to have poor health status.

Step-by-step explanation:

Ed2020

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I got you!! If the speed limit is 60 mph, and shes driving 15 mph over the limit, its 75. 60 + 15=75!

Step-by-step explanation:

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2 years ago
What is the rage of the data?
qaws [65]

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the range is the spread of your data from the lowest to the highest value in the distribution

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A block of wood has the mass of 180 grams. It is 10cm long, 6cm wide and
pychu [463]

Answer:

.75g/cm^3

Step-by-step explanation:

density = mass / volume

We already know the mass - 180g

Find the volume

10cm * 6cm * 4cm = 240 cm^{3}

Plug in the volume and mass in the density formula

density = 180g / 240cm^{3}

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Density = .75g/cm^{3}

5 0
2 years ago
You observe a portfolio for five years and determine that its average annual return is 13% and the standard deviation of its ret
horrorfan [7]

Answer:

There is a 95% probability that the portfolio would not loose more than 30% of its value.

Step-by-step explanation:

The confidence interval for proportions (<em>p</em>) is:

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

The information provided is:

\hat p = 0.13\\\sqrt{\frac{\hat p(1-\hat p}{n}} =0.21

For 95% confidence level the critical value of <em>z</em> is:

z_{\alpha/2}=z_{0.05/2}=z_{0.025}=1.96

The 95% confidence interval for average annual return is:

CI=\hat p\pm z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}\\=0.13\pm 1.96\times0.21\\=0.13\pm 0.4116\\=(-0.2816, 0.5416)\\\approx(-28\%, 54\%)

The lower limit of the 95% confidence interval is -28%.

This implies that the portfolio would not loose more than 28% of its value.

Thus, there is a 95% probability that the portfolio would not loose more than 30% of its value.

6 0
3 years ago
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