statictic normal distribution 19. Resistors of a certain type have a mean resistance of 420 Q with a standard deviation of 12Q. Determine the percentage of resistors having resistance valuesi. between 400 Q and 430 Q,ii. equal to 450 N.20. Washers formed on a machine have a mean diameter of 12.60 mm with a standarddeviation of 0.52 mm. Determine the number of washers in a random sample of 400 likely tohave diameters between 12.00 mm and 13.50 mm.

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19. Resistors of a certain type have a mean resistance of 420 Q with a standard deviation of 12 Q. Determine the percentage of resistors having resistance values i. between 400 Q and 430 N, ii. equal to 450 Q.

19. Resistors of a certain type have a mean resistance of 420 Q with a standard deviation of 12 Q. Determine the percentage of resistors having resistance values i. between 400 Q and 430 N, ii. equal to 450 Q.

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section: Chapter Questions

Problem 22SGR

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Question

statictic

normal distribution

19. Resistors of a certain type have a mean resistance of 420 Q with a standard deviation of 12
Q. Determine the percentage of resistors having resistance values
i. between 400 Q and 430 Q,
ii. equal to 450 N.
20. Washers formed on a machine have a mean diameter of 12.60 mm with a standard
deviation of 0.52 mm. Determine the number of washers in a random sample of 400 likely to
have diameters between 12.00 mm and 13.50 mm.

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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