Answer:
The new compact tube is more likely to have a life length greater than 9000 hours.
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
Standard tube:
![\mu = 7000, \sigma = 2000](https://tex.z-dn.net/?f=%5Cmu%20%3D%207000%2C%20%5Csigma%20%3D%202000)
New compact tube:
![\mu = 7500, \sigma = 1200](https://tex.z-dn.net/?f=%5Cmu%20%3D%207500%2C%20%5Csigma%20%3D%201200)
1. Which fluorescent tube is more likely to have a life length greater than 9000 hours?
Whichever tube has the lower z-score when X = 9000, since the probability of having a life length greater than 9000 hours is 1 subtracted by the pvalue of Z when X = 9000. The higer z, the higher it's pvalue.
Standard tube:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{9000 - 7000}{1000}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B9000%20-%207000%7D%7B1000%7D)
![Z = 2](https://tex.z-dn.net/?f=Z%20%3D%202)
New compact tube:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{9000 - 7500}{1200}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B9000%20-%207500%7D%7B1200%7D)
![Z = 1.25](https://tex.z-dn.net/?f=Z%20%3D%201.25)
The new compact tube is more likely to have a life length greater than 9000 hours.