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konstantin123 [22]
4 years ago
12

A school club is raising money for a trip, and needs to reach $10,000. Their fundraising progress is modeled by the function

Mathematics
2 answers:
Artist 52 [7]4 years ago
4 0

Answer:

D) It is the amount they raise each week

Step-by-step explanation:

Given : Their fundraising progress is modeled by the function

f(x) = 435 + 1200x, where x is measured in weeks.

To Find :What is the meaning of the coefficient 1200?

Solution :

f(x) = 435 + 1200x

Where x denotes the week

if 1200 is raised fund so 1200x is the fund raised in x weeks

Thus the coefficient 1200 means the amount they raise each week.

Thus Option D is correct .

D) It is the amount they raise each week

AURORKA [14]4 years ago
3 0

Answer:

A

Step-by-step explanation:

It is the amount they started with. Since y = 435 when x = 0, this is the initial amount, before the fundraising started.

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If you would like to calculate 6 5/6 + 6 11/12, you can do this using the following steps:

<span>6 5/6 + 6 11/12 = 41/6 + 83/12 = 82/12 + 83/12 = 165/12 = 55/4 = 13 3/4
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The correct result would be 55/4.
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Your truck tires are rated at? 45,000 miles. what is the probability that this? tire’s tread life will fall between? 44,500 and?
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We are given:

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Computers require fans to keep them from overheating. Let T be the random variable representing the lifetime of a particular mak
ikadub [295]

Answer:

a) 4.98% of computer fans which will give at least 10,000 hours of service.

b) 3.02% of computer fans which would give at least 10,000 hours of service, that is, fewer fans living for at least 10,000 hours.

Step-by-step explanation:

Exponential distribution:

The exponential probability distribution, with mean m, is described by the following equation:

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The probability that x is lower or equal to a is given by:

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\mu = \lambda = 0.0003

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(b) If the fan is redesigned so that exponential lifetime distribution now has parameter λ = 0.00035, would you expect more fans or fewer fans to live for at least 10,000 hours?

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P(X \geq 10000) = 1 - P(X < 10000)

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