At a large business, employees must report to work at 6:30 A.M. The arrival times of employees is approximately symmetric and mound-shaped with mean 6:26 A.M. and standard deviation 2 minutes.
Question 1. Use the 68-95-99.7 rule (also known as the Empirical rule) to determine what percent of employees are late on a typical day.
%
Question 2. A psychological study determined that the typical worker needs 2 minutes to adjust to their surroundings before beginning their duties. Use the 68-95-99.7 rule (also known as the Empirical rule) to determine what percent of this business employees arrive early enough to make this adjustment before the 6:30 A.M. start time.
%
According to the Empirical rule, 68%, 95% and 99.7% data lies within 1, 2 and 3 standard deviations of mean respectively
Mean = 6:26 AM
standard deviation is 2 minutes
1) 6:30 AM is 2 standard deviations above mean
P(employees are late on a typical day) = P(arrival is after 6:30 AM)
= 1 - P(arrival is before 6:30 AM)
= 1 - [P(arrival is before 6:26 AM) + P(arrival is between 6:26 AM and 6:30 AM)]
= 1 - [0.5 + 95/2]
= 0.025
= 2.5%
Percent of employees are late on a typical day = 2.5%
2) For an employee to arrive early enough to start work at 6:30 AM, an employee must report to work by 6:28 AM
P(arrival before 6:28 AM) = [P(arrival is before 6:26 AM) + P(arrival is between 6:26 AM and 6:28 AM)]
= 0.5 + 0.68/2
= 0.84
= 84%
Percent of this business employees arrive early enough to make this adjustment before the 6:30 A.M. start time = 84%
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