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Karo-lina-s [1.5K]
3 years ago
7

A screw manufacturer makes specialized tiny screws that are 15mm long. The manufacturing process does not make every screw exact

ly 15mm long. The lengths of the screws are normally distributed with mean 15mm and standard deviation 0.04mm. To test for quality control, 36 screws are to be measured. What is the probability that a sample mean is less than 14.99mm?
Mathematics
1 answer:
Ray Of Light [21]3 years ago
8 0

Answer:

The probability that a sample mean is less than 14.99mm=0.066808

Step-by-step explanation:

We are given that

Mean,\mu=15 mm

Standard deviation,\sigma=0.04 mm

n=36

We have to find the probability that a sample mean is less than 14.99mm.

We know that

P(\bar{x}

Using the formula

P(\bar{x}

P(\bar{x}

=1-P(Z\geq -1.5)

=1-0.93319

=0.066808

Hence,  the probability that a sample mean is less than 14.99mm=0.066808

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A small manufacturing firm has 250 employees. Fifty have been employed for less than 5 years and 125 have been with the company
sukhopar [10]

Answer:

Step-by-step explanation:

Given that a small manufacturing firm has 250 employees. Fifty have been employed for less than 5 years and 125 have been with the company for over 10 years. So remaining 75 are between 5 and 10 years.

Suppose that one employee is selected at random from a list of the employees

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