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SCORPION-xisa [38]
3 years ago
14

What's the surface area?(EXPLAIN YOUR ANSWER)

Mathematics
1 answer:
dedylja [7]3 years ago
6 0
714,110ft



Hope this helpsss
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Graph the line that passes through the points (8,0) and (2,6) and determine the
pantera1 [17]

Answer:

y= -x+ 8

Step-by-step explanation:

4 0
3 years ago
The automobile assembly plant you manage has a Cobb-Douglas production function given by p = 10x^0.2 y^0.8
Zepler [3.9K]

Answer:

The variation needed for the daily buget to follow the increase in production for the first year is 12.38 $/year.

This value of Δy is not constant for a constant increase in production.

Step-by-step explanation:

We know that the production function is p = 10x^{0.2} y^{0.8}, and in the current situation p=1200 and x=130.

With this information we can calculate the actual budget level:

p_0 = 10x^{0.2} y^{0.8}\\\\1200=10*130^{0.2} y^{0.8}\\\\1200=26.47*y^{0.8}\\\\y=(1200/26.47)^{1/0.8}=45.33^{1.25}=117.62

The next year, with an increase in demand of 100 more automobiles, the production will be p_1=1300.

If we calculate y for this new situation, we have:

y_1=(\frac{p_1}{10x^{0.2}} )^{1.25}=(\frac{1300}{26.47} )^{1.25}=49.10^{1.25}=130

The budget for the following year is 130.

The variation needed for the daily buget to follow the increase in production for the first year is 12.38 $/year.

\Delta y=y_1-y_0=130.00-117.62=12.38

This value of Δy is not constant for a constant increase in production.

3 0
3 years ago
An exponential random variable has a standard deviation of 16. Calculate The probability that it takes on a value < 11. Use 3
antiseptic1488 [7]

Answer:

P(X

And using the cdf we got:

P(X

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

P(X=x)=\lambda e^{-\lambda x}, x>0

And 0 for other case. Let X the random variable that represent the random variable of interest and we know that the distribution is given by:

X \sim Exp(\lambda)

We know the variance on this case given by :

Var(X) = \frac{1}{\lambda^2}

So then the deviation is given by:

Sd(X) = \frac{1}{\sqrt{\lambda}}

And if we solve for \lambda we got:

\lambda = (\frac{1}{16})^2 = \frac{1}{256}

The cumulative distribution function for the exponential distribution is given by:

F(x) = 1- e^{-\lambda x}

Solution to the problem

And for this case we want to find this probability:

P(X

And using the cdf we got:

P(X

5 0
3 years ago
Write a scenario that could work for the following line of best fit: y = 0.2x + 7.6. Explain the slope and intercept in this con
Ipatiy [6.2K]
In this question we know what the “y-intercept is,so if we go to our graph we can easily just plot the point 7.6 on the y axis of a number line. It also gives you the slope in decimal form so we would want to convert that from 0.2 to 1/5. And remember the slope is how many places you move to get to the next point on the number line. So from the point 7.6 we would move up 1 over 5 to the right because it is a positive number. Your line should run across the upper segment of the number line and your line should make a 20 to 30 degree angle shift
4 0
3 years ago
Question 1-6
Mumz [18]

i mean ig but 129.... ehh

3 0
3 years ago
Read 2 more answers
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