A quality control expert at life batteries wants to test their new batteries. The design engineer claims they have a variance of 8464 with the mean life of 886 minutes. If the claim is true in a sample of 145 batteries what is the probability that the main battery life will be greater than 904.8 minutes? Round answer to four decimal places

A quality control expert at life batteries wants to test their new batteries The design engineer claims they have a variance of 8464 with the mean life of 886 m class=

Respuesta :

The parameters provided from the question is:

[tex]\begin{gathered} \mu=886 \\ \sigma=\sqrt{8464}=92 \\ \bar{x}=904.8 \\ n=145 \end{gathered}[/tex]

Using the z-score formula:

[tex]z=\frac{\bar{x}-\mu}{\frac{\sigma}{\sqrt{n}}}[/tex]

Substitute for the values provided and solve for z

[tex]\begin{gathered} z=\frac{904.8-886}{\frac{92}{\sqrt{145}}} \\ z=2.4607 \end{gathered}[/tex]

The probability that the main battery life will be greater than 904.8 is given:

[tex]\begin{gathered} P(z>2.4607)=P(0\leq z)-P(02.4607)=0.5-0.4931 \end{gathered}[/tex][tex]P(z>2.4607)=0.0069[/tex]

Hence, the probability that the main battery life will be greater than 904.8 is 0.0069

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