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melomori [17]
3 years ago
9

In 2018 the state of Arizona has a population of 7,123,898 this is an increase from 2010 when a population of 6,392,017 if the a

rea of Arizona covers 113,998MI squared then what is the difference in population density between 2010 in 2018
Mathematics
1 answer:
Effectus [21]3 years ago
4 0

Answer:

The difference in population density between 2010 and 2018 is of 6.42 hab/MI²

Step-by-step explanation:

The population density is the number of habitants divided by the area.

Arizona:

Has an area of 113,998MI².

2010:

6,392,017 habitants, so the density was 6,392,017/113,998 = 56.07 hab/MI².

2018:

7,123,898 habitants, so the density was 7,123,898/113,998 = 62.49 hab/MI²

Difference:

62.49 - 56.07 = 6.42 hab/MI²

The difference in population density between 2010 and 2018 is of 6.42 hab/MI²

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In the fraction three fifths, which statement best describes the numerator?
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Answer:

I believe it is C

Step-by-step explanation:

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0.7c - 2.1d<br> c= 13, d = 2<br> 0.7c - 2.1d=
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Answer:

4.9

Step-by-step explanation:

Plug in 13 and 2 for each variable separately to get 0.7(13) - 2.1(2).  0.7 multiplied by 13 equals to 9.1 and 2.1 multiplied by 2 equals 4.2.  Subtract 4.2 from 9.1 to get your final answer which is 4.9.

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3 years ago
Food price increased at a rate of 25% per month. The food bill was $120 in that month. What is it in three months?
frosja888 [35]
In three months the food bill will be $210 this is because

120x.25=30

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8 0
3 years ago
I will give BRIANLIEST!!
frosja888 [35]

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1020

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The diameters of aluminum alloy rods produced on an extrusion machine are known to have a standard deviation of 0.0001 in. A ran
Murljashka [212]

Complete Question

The complete question is shown on the first uploaded image

Answer:

The null hypothesis is rejected this means that \mu \ne  0.5025

The 95% confidence interval is 0.5045608 <  \mu  < 0.5046392

Step-by-step explanation:

From the question we are told that

The standard deviation is s= 0.0001

The sample size is n = 25

The sample mean is \= x =  0.5046 \ in

The population mean is \mu  =  0.5025 \ in

The null hypothesis is H_o  :  \mu =  0.5025

The alternative hypothesis is H_a  :  \mu \ne  0.5025

The test statistics is mathematically represented as

t =  \frac{0.5046 -  0.5025}{ \frac{0.0001}{\sqrt{25} } }

t =  105

So the p-value from the z-table is mathematically represented as

p-value  =  2 *  P( z >  105)

p-value  = 0.000

seeing that

p-value <  \alpha we reject the null hypothesis

The critical value of

\frac{\alpha }{2} obtained from the normal distribution table is

Z_{\frac{\alpha }{2} } =  1.96

The margin of error is mathematically represented as

E = Z_{\frac{\alpha }{2} }*\frac{s}{\sqrt{n} }

=> E = 1.96 *\frac{0.0001}{\sqrt{25} }

=> E =3.92 *10^{-5}

The 95% confidence level is mathematically represented as

\= x  -  E  <  \mu  < \= x  + E

=> 0.5046  -  3.92 *10^{-5}  <  \mu  < 0.5046  +  3.92 *10^{-5}

=> 0.5045608 <  \mu  < 0.5046392

8 0
3 years ago
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