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Alina [70]
3 years ago
12

Suppose that the price per unit in dollars of a cell phone production is modeled by p=55−0.0125x, where x is in thousands of pho

nes produced, and the revenue represented by thousands of dollars is R=x⋅p. Find the production level that will maximize revenue.
Mathematics
1 answer:
Tresset [83]3 years ago
4 0

Answer: At x = 2200 level of production, it will get maximum revenue.

Step-by-step explanation:

Since we have given that

p = 55-0.0125x

and Revenue function is given by

R=x.p\\\\R=x(55-0.0.125x)\\\\R(x)=55x-0.0125x^2

We will take the first derivative of it.

R'(x)=55-0.025x

Now,we will find the critical points :

55-0.025x=0\\\\0.025x=55\\\\x=\dfrac{55}{0.025}\\\\x=2200

and R''(x)=-0.025<0, so it will get maximum revenue.

Hence, At x = 2200 level of production, it will get maximum revenue.

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Find the unit rate for 521 miles in 14 hours.
WITCHER [35]
The answer is 37.21 miles per hour.
Hope this helps!!
8 0
2 years ago
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Q2) If z is directly proportional to x and z = 12 when x = 3, find the value of x when z = 18.
LenKa [72]

Answer:

4.5

Step-by-step explanation:

→ Set up the direct proportion equation

z = kx

→ Substitute in the values

12 = 3k

→ Divide both sides by 3 to isolate k

4 = k

→ Substitute the value of k back into the original direct proportion equation

z = 4x

→ Substitute the value of z in

18 = 4x

→ Divide both sides by 4 to isolate x

4.5 = x

4 0
3 years ago
Read 2 more answers
In a sample of 70 stores of a certain​ company, 62 violated a scanner accuracy standard. It has been demonstrated that the condi
uysha [10]

Answer:

We need at least 243 stores.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error of the interval is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

For this problem, we have that:

n = 70, p = \frac{62}{70} = 0.886

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

Determine the number of stores that must be sampled in order to estimate the true proportion to within 0.04 with 95​% confidence using the​ large-sample method.

We need at least n stores.

n is found when M = 0.04. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.04 = 1.96\sqrt{\frac{0.886*0.114}}{n}}

0.04\sqrt{n} = 1.96\sqrt{0.886*0.114}

\sqrt{n} = \frac{1.96\sqrt{0.886*0.114}}{0.04}

(\sqrt{n})^{2} = (\frac{1.96\sqrt{0.886*0.114}}{0.04})^{2}

n = 242.5

Rounding up

We need at least 243 stores.

5 0
2 years ago
Evaluate the expression when a = 4 and b = 6. 8a – 4b + 5 A. 15 B. 7 C. 19 D. 13
yaroslaw [1]
4 and b = 6 is D.) 13
4 0
3 years ago
Please answer below!
Artist 52 [7]

Answer:

the terms are 400n , 62n 120 and 8n

the number of coefficients is 3

equa expression  is 346n+120

Step-by-step explanation:1

Combining like terms 400n400n and -62n−62n

338n+120+8n

338n+120+8n

2 Combining like terms 338n338n and 8n8n

346n+120

346n+120

For the rest of them i just counted.

8 0
3 years ago
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