# Question: An industrial sewing machine uses ball bearings that are targeted

An industrial sewing machine uses ball bearings that are targeted to have a diameter of 0.75 inch. The lower and upper specification limits under which the ball bearings can operate are 0.74 inch and 0.76 inch, respectively. Past experience has indicated that the actual diameter of the ball bearings is approximately normally distributed, with a mean of 0.753 inch and a standard deviation of 0.004 inch. What is the probability that a ball bearing is

a. between the target and the actual mean?

b. between the lower specification limit and the target?

c. above the upper specification limit?

d. below the lower specification limit?

e. Of all the ball bearings, 93% of the diameters are greater than what value?

a. between the target and the actual mean?

b. between the lower specification limit and the target?

c. above the upper specification limit?

d. below the lower specification limit?

e. Of all the ball bearings, 93% of the diameters are greater than what value?

## Answer to relevant Questions

Given a standardized normal distribution (with a mean of 0 and a standard deviation of 1, as in Table E. 2), what is the probability that a. Z is less than 1.08? b. Z is greater than - 0.21? c. Z is less than - 0.21 or ...The evening manager of a restaurant was very concerned about the length of time some customers were waiting in line to be seated. She also had some concern about the seating times— that is, the length of time between when ...According to the “Bottled Water Trends for 2014” report (bit . ly/ 1gx5ub8), the U. S. per capita consumption of bottled water in 2013 was 31.8 gallons. Assume that the per capita consumption of bottled water in the ...Accenture’s Defining Success global research study found that the majority of today’s working women would prefer a bet-ter work– life balance to an increased salary. One of the most im-portant contributors to work– ...The fill amount of bottles of a soft drink is normally distributed, with a mean of 2.0 liters and a standard deviation of 0.05 liter. If you select a random sample of 25 bottles, what is the probability that the sample mean ...Post your question