A certain type of electronic condenser is manufactured by the ECA company, andover a large number of years, the lifetimes of the parts are found to be normallydistributed with standard deviation σ = 225 h. A random sample of 30 of thesecondensers yielded an average lifetime of 1407.5 hours. Find a 99% confidenceinterval for μ, the mean lifetime of ECA condensers. What can you say about thestatement “μ = 1400”? A certain type of electronic condenser is manufactured by the ECA company, andover a large number of years, the lifetimes of the parts are found to be normallydistributed with standard deviation o = 225 h. A random sample of 30 of thesecondensers yielded an average lifetime of 1407.5 hours. Find a 99% confidenceinterval for u, the mean lifetime of ECA condensers. What can you say about thestatement "u = 1400"?

Sample size n=30 Sample mean=1407.5 Population standard deviation =225

Answered: A certain type of electronic condenser…

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 certain type of electronic condenser is manufactured by the ECA company, and
over a large number of years, the lifetimes of the parts are found to be normally
distributed with standard deviation σ = 225 h. A random sample of 30 of these
condensers yielded an average lifetime of 1407.5 hours. Find a 99% confidence
interval for μ, the mean lifetime of ECA condensers. What can you say about the
statement “μ = 1400”?

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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