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olga_2 [115]
3 years ago
6

Suppose a brand of light bulbs is normally​ distributed, with a mean life of 1400 hr and a standard deviation of 150 hr. Find th

e probability that a light bulb of that brand lasts between 1175 hr and 1610 hr.
Mathematics
1 answer:
Mariulka [41]3 years ago
4 0

Answer:

The probability that a light bulb of that brand lasts between 1175 hr and 1610 hr is 0.8524.

Step-by-step explanation:

Given : Suppose a brand of light bulbs is normally​ distributed, with a mean life of 1400 hr and a standard deviation of 150 hr.

To find : The probability that a light bulb of that brand lasts between 1175 hr and 1610 hr ?

Solution :

Applying z-score formula,

z=\frac{x-\mu}{\sigma}

where, \mu=1400 is population mean

\sigma=150 is standard deviation

For x=1175 hour,

z=\frac{1175-1400}{150}

z=\frac{-225}{150}

z=-1.5

For x=1610 hour,

z=\frac{1610-1400}{150}

z=\frac{210}{150}

z=1.4

The required probability is,

P(1175< X

P(1175< X

Using z table, the values are

P(1175< X

P(1175< X

The probability that a light bulb of that brand lasts between 1175 hr and 1610 hr is 0.8524.

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Answer:

4.65% probability that a randomly selected customer takes more than 10 minutes

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

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\mu = 7.45, \sigma = 1.52

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

Z = \frac{10 - 7.45}{1.52}

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Z = 1.68 has a pvalue of 0.9535

1 - 0.9535 = 0.0465

4.65% probability that a randomly selected customer takes more than 10 minutes

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