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Andrew [12]
3 years ago
12

A team of workers took 167.3 hours to complete a task. A smaller team of workers will complete the same task, but it will take t

hem 1.25 times as long as it took the first team. Based on this information, which statement is true? F) The task will take the smaller team of workers 168.55 hours to complete, because 167.3 + 1.25 =168.55. G) The task will take the smaller team of workers 179.8 hours to complete, because 167.3 + 1.25 = 179.8. H) The task will take the smaller team of workers 198.825 hours to complete, because 167.3 × 1.25 =198.825. J) The task will take the smaller team of workers 209.125 hours to complete, because 167.3 × 1.25 = 209.125.
Mathematics
2 answers:
taurus [48]3 years ago
7 0

Answer:

J) The task will take the smaller team of workers 209.125 hours to complete, because 167.3 × 1.25 = 209.125.

Step-by-step explanation:

A smaller team will complete the same task in:

  • 167.3*1.25= 209.125  hours

Choice J is correct

J) The task will take the smaller team of workers 209.125 hours to complete, because 167.3 × 1.25 = 209.125.

andrezito [222]3 years ago
4 0

Answer:

hh

Step-by-step explanation:

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ahrayia [7]

Answer:

15.87% probability that a randomly selected individual will be between 185 and 190 pounds

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.

In this problem, we have that:

\mu = 180, \sigma = 8

What is the probability that a randomly selected individual will be between 185 and 190 pounds?

This probability is the pvalue of Z when X = 190 subtracted by the pvalue of Z when X = 185. So

X = 190

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

Z = \frac{190 - 180}{8}

Z = 1.25

Z = 1.25 has a pvalue of 0.8944

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

Z = \frac{185 - 180}{8}

Z = 0.63

Z = 0.63 has a pvalue of 0.7357

0.8944 - 0.7357 = 0.1587

15.87% probability that a randomly selected individual will be between 185 and 190 pounds

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