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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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Find solutions for your homework math statistics and probability statistics and probability questions and answers the quality control manager at a light bulb factory needs to estimate the mean life of a large shipment of light bulbs. the standard deviation is 100 hours. a random sample of 64 light bulbs indicated a sample mean life of 350 hours . a. construct a 95% confidence interval estimate for the population mean life of light bulbs in this shipment. b. do you think Question: The Quality Control Manager At A Light Bulb Factory Needs To Estimate The Mean Life Of A Large Shipment Of Light Bulbs. The Standard Deviation Is 100 Hours. A Random Sample Of 64 Light Bulbs Indicated A Sample Mean Life Of 350 Hours . A. Construct A 95% Confidence Interval Estimate For The Population Mean Life Of Light Bulbs In This Shipment. B. Do You Think This problem has been solved! See the answer The quality control manager at a light bulb factory needs to estimate the mean life of a large shipment of light bulbs. The standard deviation is 100 hours. A random sample of 64 light bulbs indicated a sample mean life of 350 hours . a. Construct a 95% confidence interval estimate for the population mean life of light bulbs in this shipment. b. Do you think that the manufacturer has the right to state that the light bulbs have a mean life of 400 hours? Explain. 99% C.I c. Must you assume that the population light bulb life is normally distributed? Explain. d. Suppose that the standard deviation changes to 80 hours. What are your answers in (a) and (b)?

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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