A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 259.7-cm and a standard deviation of 1.6-cm. For shipment, 15 steel rods are bundled together.Find the probability that the average length of a randomly selected bundle of steel rods is less than 260.5-cm.P(�¯ < 260.5-cm) = Enter your answer as a number accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted. A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of259.7-cm and a standard deviation of 1.6-cm. For shipment, 15 steel rods are bundled together.Find the probability that the average length of a randomly selected bundle of steel rods is less than 260.5-cm.P(Z < 260.5-cm) =Enter your answer as a number accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.

We have given that Mean=259.7, Standard deviations=1.6, Sample size=n=15

Answered: A company produces steel rods. The…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 259.7-cm and a standard deviation of 1.6-cm. For shipment, 15 steel rods are bundled together.

Find the probability that the average length of a randomly selected bundle of steel rods is less than 260.5-cm.
P(�¯ < 260.5-cm) =

Enter your answer as a number accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.

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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