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EleoNora [17]
3 years ago
11

If you spend $55 for transportation and clear $250 a month, what percent of your income do you spend on transportation? Round to

the nearest tenth. 4.5% 18.0% 20.0% 22.0%
Mathematics
1 answer:
defon3 years ago
7 0

Answer:

55.0 or 60 i don't know,i just got those answers

Step-by-step explanation:

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Write an equation in slope-intercept form for the line with slope 8 and y-intercept -8.​
Fofino [41]

Answer:

y = 8x - 8

Step-by-step explanation:

y = mx + b is slope-intercept form

m - slope

b - y-intercept

so if you plug in 8 for m and -8 for b you'll get

y = 8(m)x - 8(b)

Hope this helps!!

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Write six and five hundredths in decimal form.
tia_tia [17]

Answer:

6.05

Step-by-step explanation:

8 0
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Data are drawn from a symmetric and bell-shaped distribution with a mean of 120 and a standard deviation of 5. There are 900 obs
bearhunter [10]
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This is an example of an ideal distribution and statical preview of the sample gathered from the population. 900 samples is a great number considering the central limit theorem of 30.
This distribution could also be described as a mesokurtic and normal form of the statistical model.

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6 0
3 years ago
you plant a spruce tree that grows 4 inches per year and a hemlock tree that grows 6 inches per year.
gizmo_the_mogwai [7]

Answer:

this doesn't even make sense.

Step-by-step explanation:

4 0
3 years ago
Use the sample data and confidence level to construct the confidence interval estimate of the population proportion p. n equals
Alekssandra [29.7K]

Answer:

(0.767,0.833)

Step-by-step explanation:

The 95% confidence interval for population proportion p can be computed as

p-z_{\frac{\alpha }{2} } \sqrt{\frac{pq}{n} }

The z-value associated with 95% confidence level is 1.96.

whereas p=x/n

We are given that x=440 and n=550.

p=440/550=0.8

0.8-1.96\sqrt{\frac{0.8(0.2)}{550} }

0.8-1.96\sqrt{\frac{0.16}{550} }

0.8-1.96\sqrt{0.00029 }

0.8-1.96(0.01706)

0.8-0.03343

0.76657

Thus, the required confidence interval is

0.767<P<0.833  (rounded to 3 decimal places)

Hence, we are 95% confident that our true population proportion will lie in the interval (0.767,0.833)

3 0
3 years ago
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