The bell company manufactures laptop computers. A study indicates that the life spans of their computers are normally distributed, with a mean of 4.0 years and a standard deviation of 1.2 years. How long should the company warrant its computers if the company wishes less than 4% of its computers to fail during the warranty period? Practice Set 4-Data ManagementMathematics as a Tool (Part 1)4. The Bell company manufactures laptop computers. A study indicates that the life spans of theircomputers are normally distributed, with a mean of 4.0 years and a standard deviation of 1.2 years.How long should the company warrant its computers if the company wishes less than 4% of itscomputers to fail during the warranty period?

Answered: The bell company manufactures laptop…

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 24HP

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The bell company manufactures laptop computers. A study indicates that the life spans of their computers are normally distributed, with a mean of 4.0 years and a standard deviation of 1.2 years. How long should the company warrant its computers if the company wishes less than 4% of its computers to fail during the warranty period?

Practice Set 4-Data Management
Mathematics as a Tool (Part 1)
4. The Bell company manufactures laptop computers. A study indicates that the life spans of their
computers are normally distributed, with a mean of 4.0 years and a standard deviation of 1.2 years.
How long should the company warrant its computers if the company wishes less than 4% of its
computers to fail during the warranty period?

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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