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Naily [24]
4 years ago
10

A company manufactures light bulbs. The lifetime for these bulbs is 4,000 hours with a standard deviation of 200 hrs. What lifet

ime should the company promote for these bulbs, so that only 2% of them burnout before the claimed lifetime?
Mathematics
1 answer:
Gnom [1K]4 years ago
3 0

Answer:

<u>The company should promote a lifetime of </u><u>3589 hours</u><u> for these bulbs, so that only 2% of them burnout before the claimed lifetime.</u>

Step-by-step explanation:

Consider the lifetime of light bulbs is normally distributed. Then, μ = 4000 hours and σ = 200 hours.

Let X be the lifetime of bulbs. We need to find the lifetime before which only 2% (0.02) of the bulbs burn out. Suppose the value of this lifetime is y. then, we need to find out P(X<y) = 0.02.

We will use the z-score formula:

<u>z = (x-μ)/σ</u>

P(X<y) = 0.02

P((X-μ)/σ < (y-μ)/σ) = 0.02

P(z < (y-4000)/200) = 0.02

We can find the value of z at which the probability is 0.02 from the normal distribution (areas under the normal curve) table.

From the table we can see that 0.02 lies between z values -2.05 and -2.06. So,

z = [-2.05 + (-2.06)]/2

  = -4.11/2

z = -2.055

So,

(y-4000)/200 = -2.055

y-4000 = -411

y = 4000 - 411

y = 3589 hours

<u></u>

<u>The company should promote a lifetime of </u><u>3589 hours</u><u> for these bulbs, so that only 2% of them burnout before the claimed lifetime.</u>

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lutik1710 [3]

Answer:

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=> 609000 = \frac{5x}{100} + x\\\\=>609000 = \frac{105x}{100}\\\\=> x = \frac{609000 \times 100}{105}\\\\x = 580000

Therefore original price = $580,000

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3 years ago
There are 10,000 citizens in baconburg. each year, the population increases by 25%. write an exponential function to model this
vodomira [7]

Answer:

Step-by-step explanation:

Delete you question he is trying to get points from you dont use brainly anymore

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3 years ago
Annie wants to make several plates of apples apricots, so that each plate has the same number of apples and the same number of a
Vilka [71]

Answer:

Annie can make 4 plates with 8:4=2 apples and 20:4=5 apricots on each plate.

Step-by-step explanation:

Annie has  8 apples and 20 apricots.

Factor these numbers:

8=2\cdot 4=2\cdot 2\cdot 2\\ \\20=2\cdot 10=2\cdot 2\cdot 5

Find GCF(8,20):

GCF(8,20)=2\cdot 2=4

Hence, Annie can make 4 plates with 8:4=2 apples and 20:4=5 apricots on each plate.

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4 years ago
You are given that claims are reported according to a homogeneous Poisson process. Starting from time zero, the expected waiting
maxonik [38]

Answer:

1.732

Step-by-step explanation:

You are given that claims are reported according to a homogeneous Poisson process

LetX be the waiting time from 0 to second claim

X is Poisson with averageof 3 hours.

We know in a Poisson distribution the mean = variance

Hence average waiting time = mean = 3

This will also be equal to var(x)

Var(x) = mean of Poisson distribution= 3

Hence standard deviation = square root of variance

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3 years ago
Tags are placed to the left leg and right leg of a bear in a forest. Let A1 be the event that the left leg tag is lost and the e
Komok [63]

Answer:

0.75 = 75% probability that exactly one tag is lost, given that at least one tag is lost

Step-by-step explanation:

Independent events:

If two events, A and B, are independent, then:

P(A \cap B) = P(A)*P(B)

Conditional probability:

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

P(B|A) is the probability of event B happening, given that A happened.

P(A \cap B) is the probability of both A and B happening.

P(A) is the probability of A happening.

In this question:

Event A: At least one tag is lost

Event B: Exactly one tag is lost.

Each tag has a 40% = 0.4 probability of being lost.

Probability of at least one tag is lost:

Either no tags are lost, or at least one is. The sum of the probabilities of these events is 1. Then

p + P(A) = 1

p is the probability none are lost. Each one has a 60% = 0.6 probability of not being lost, and they are independent. So

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Then

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Intersection:

The intersection between at least one lost(A) and exactly one lost(B) is exactly one lost.

Then

Probability at least one lost:

First lost(0.4 probability) and second not lost(0.6 probability)

Or

First not lost(0.6 probability) and second lost(0.4 probability)

So

P(A \cap B) = 0.4*0.6 + 0.6*0.4 = 0.48

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P(B|A) = \frac{0.48}{0.64} = 0.75

0.75 = 75% probability that exactly one tag is lost, given that at least one tag is lost

8 0
3 years ago
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