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Oksanka [162]
3 years ago
8

Sam needs a web designer. Designer A is offering her services for an initial $450 in addition to $105 per hour. Designer B is of

fering her services for an initial $725 in addition to $50 per hour. When will the two designers charge the same amount of money?
The two designers will charge the same amount of money after
hours.
Mathematics
2 answers:
gogolik [260]3 years ago
6 0

Answer:

After 5 hours the two would charge the same amount of money.

Step-by-step explanation:

Designer A:  $450 + ($105/hr)x, where x is the number of hours worked;

Designer B:  $725 + ($50/hr)x

Equating these two formulas, we get:

$450 + ($105/hr)x = $725 + ($50/hr)x

Subtracting $450 from both sides:  ($55/hr)x = $275

Dividing both sides by $55 yields the number of hours worked:

x = $275/$55 = 5

After 5 hours the two would charge the same amount of money.

gulaghasi [49]3 years ago
4 0

Answer:

5 hours

Step-by-step explanation:

The cost for designer A

450+105h

The cost for designer B

725+50h

We want to know when the cost is the same

Set the expressions equal

450+105h =725+50h

Subtract 50h from each side

450+105h-50h =725+50h-50h

450+55h = 725

Subtract 450 from each side

450+55h-450 = 725 -450

55h = 275

Divide each side by 55

55h/55 =275/55

h =5

At 5 hours the cost is the same

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Based on historical data, your manager believes that 26% of the company's orders come from first-time customers. A random sample
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Answer:

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And we can use the z score formula given by:

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And if we find the parameters we got:

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And we can find the z score for the value of 0.4 and we got:

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And we can find this probability:

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And if we use the normal standard table or excel we got:

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Step-by-step explanation:

For this case we have the following info given:

p = 0.26 represent the proportion of the company's orders come from first-time customers

n=158 represent the sample size

And we want to find the following probability:

p(\hat p >0.4)

And we can use the normal approximation since we have the following two conditions:

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2) n(1-p) = 158*(1-0.26) = 116.92>10

And for this case the distribution for the sample proportion is given by:

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

And we can use the z score formula given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

And if we find the parameters we got:

\mu_p = 0.26

\sigma_p = \sqrt{\frac{0.26(1-0.26)}{158}} = 0.0349

And we can find the z score for the value of 0.4 and we got:

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And we can find this probability:

P(z>4.0119) = 1-P(z

And if we use the normal standard table or excel we got:

P(z>4.0119) = 1-P(z

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