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Sliva [168]
3 years ago
12

Solve the system of equations by substituion, -5x + y = 3 7.5x - 1.5y = 3

Mathematics
1 answer:
Naya [18.7K]3 years ago
5 0
The first equation, make the y as the subject. y = 3 + 5x, then substitute y in the second equation and you will get the value of x. then, substitute the x in the first equation (y = 3 + 5x)
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Ash's family is on vacation. their car is traveling at a constant of 60 miles per hour.
Ket [755]

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6 0
3 years ago
Susan has a balance of $5,125 on her credit card. If the card has an annual rate of 18.75% how much is the finance charge for th
bogdanovich [222]
The answer is $80.08 

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8 0
3 years ago
How do i solve p+4-1-(4+r) use p=4 and r=1
Ulleksa [173]

Answer:

2

Step-by-step explanation:

Evaluate p + 4 - 1 - (r + 4) where p = 4 and r = 1:

p + 4 - 1 - (r + 4) = 4 + 4 - 1 - (4 + 1)

4 + 1 = 5:

4 + 4 - 1 - 5

4 + 4 - 1 - 5 = (4 + 4) - (1 + 5):

(4 + 4) - (1 + 5)

4 + 4 = 8:

8 - (1 + 5)

1 + 5 = 6:

8 - 6

8 - 6 = 2:

Answer:  2

5 0
4 years ago
The countries of Europe report that 46% of the labor force is female. The United Nations wonders if the percentage of females in
Anestetic [448]

Answer:

a) Point estimate p=0.43.

b) The 95% confidence interval for the population proportion of female workers in US is (0.388, 0.473).

c) This confidence interval tells us that, with 95% confidence, the true proportion of females in the U.S. labor force is within 0.388 and 0.473.

d) We can conclude that females do not make up a majority of the US labor force, because we can claim, with 95% confidence, that the true proportion of female workers is under 0.473, which is below 0.5 (or 50%).

Step-by-step explanation:

a) A point estimate can be calculated using the sample results and dividing the amount of female workers in the sample by the sample size:

p=X/n=226/525=0.43

b) We have to calculate a 95% confidence interval for the proportion.

The standard error of the proportion is:

\sigma_p=\sqrt{\dfrac{p(1-p)}{n}}=\sqrt{\dfrac{0.43*0.57}{525}}\\\\\\ \sigma_p=\sqrt{0.000467}=0.022

The critical z-value for a 95% confidence interval is z=1.96.

The margin of error (MOE) can be calculated as:

MOE=z\cdot \sigma_p=1.96 \cdot 0.022=0.042

Then, the lower and upper bounds of the confidence interval are:

LL=p-z \cdot \sigma_p = 0.4305-0.042=0.388\\\\UL=p+z \cdot \sigma_p = 0.4305+0.042=0.473

The 95% confidence interval for the population proportion of female workers in US is (0.388, 0.473).

c) This confidence interval tells us that, with 95% confidence, the true proportion of females in the U.S. labor force is within 0.388 and 0.473.

d) We can conclude that females do not make up a majority of the US labor force, because we can claim, with 95% confidence, that the true proportion of female workers is under 0.473, which is below the 50%.

If the confidence interval have included the value 0.5, we could not be sure (with 95% confidence) that female workers do not represent de majority, as there would be possibility that the true proportion is 0.5.

3 0
4 years ago
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