The finished inside diameter of a piston ring is normally distributed with a mean of 10 centimeters and a standard deviation of 0.03 centimeter. Which of the following is TRUE? a) 25.14% of the piston ring diameters are greater than 10.05 centimeters. b) 74.86% of the piston ring diameters are greater than 10.05 centimeters. c) None of the above. d) 25.14% of the piston ring diameters are less than 10.05 centimeters.

The finished inside diameter of a piston ring is normally distributed with a mean of 10 centimeters and a standard deviation of 0.03 centimeter. Which of the following is TRUE? a) 25.14% of the piston ring diameters are greater than 10.05 centimeters. b) 74.86% of the piston ring diameters are greater than 10.05 centimeters. c) None of the above. d) 25.14% of the piston ring diameters are less than 10.05 centimeters.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

The finished inside diameter of a piston ring is normally distributed with a mean of 10 centimeters and a standard deviation of 0.03 centimeter. Which of the following is TRUE?

a) 25.14% of the piston ring diameters are greater than 10.05 centimeters.

b) 74.86% of the piston ring diameters are greater than 10.05 centimeters.

c) None of the above.

d) 25.14% of the piston ring diameters are less than 10.05 centimeters.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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