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abruzzese [7]
3 years ago
8

The life of light bulbs is distributed normally. The standard deviation of the lifetime is 15 hours and the mean lifetime of a b

ulb is 520 hours. Find the probability of a bulb lasting for at most 528 hours. Round your answer to four decimal places.
Mathematics
1 answer:
Lyrx [107]3 years ago
4 0

Answer:

0.7031 = 70.31% probability of a bulb lasting for at most 528 hours.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

The standard deviation of the lifetime is 15 hours and the mean lifetime of a bulb is 520 hours.

This means that \sigma = 15, \mu = 520

Find the probability of a bulb lasting for at most 528 hours.

This is the p-value of Z when X = 528. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{528 - 520}{15}

Z = 0.533

Z = 0.533 has a p-value of 0.7031

0.7031 = 70.31% probability of a bulb lasting for at most 528 hours.

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Answer:

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5 0
4 years ago
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