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Aleks [24]
2 years ago
9

The expected (mean) life of a particular type of light bulb is 1000 hours with a standard deviation of 50 hours. The life of thi

s world is normally distributed what is the probability that a randomly selected bulb would last fewer than 940 hours?
Mathematics
1 answer:
Amiraneli [1.4K]2 years ago
8 0

Answer:

11.5%

Step-by-step explanation:

To solve this problem, we can use the knowledge that there are z score tables that calculate probabilities based on z scores. Thus, we must calculate the z score.

The z score formula is \frac{x- m}{s} , where x is the value, m is the mean, and s is the standard deviation. We can then plug our values in to get \frac{940-1000}{50}  =  \frac{-60}{50} = -1.2 as our z score. Plugging this into a table where table values represent the area to the left of the z score (as we want to calculate everything under 940), we get 0.115, or 11.5% as our answer

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Answer:

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Step-by-step explanation:

= > - 3 ( 2b - 7 )

= > - 6b + 21

<h3>Hope it helps you!</h3>
6 0
2 years ago
Enter the numerator that makes the equation true.
Gelneren [198K]

Answer:

1 3/4

Step-by-step explanation:

First write the equation in mixed fraction form as;

1 3/4 + 1 1/3 = 1 _/12 + 1 4/12 ⇒  7/4  + 4/3 = _ + 16/12

7/4  + 4/3 = _ + 16/12

37/12 = _ + 16/12

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6 0
3 years ago
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AveGali [126]

Answer:

Percentage of computers working equals:

90%

Step-by-step explanation:

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Number of computers working=30-3=27

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Percentage of working computers=

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Hence, Percentage of computers working is:

90%

3 0
2 years ago
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Answer:

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Step-by-step explanation:

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