Jessica Salas, president of Salas Products, is reviewing the warranty policy for her company's new model of automobile batteries. Life tests performed on a sample of 100 batteries indicated: (1) an average life of 75 months, (2) a standard deviation of 5 months, and (3) a bell shaped battery life distribution. What percentage of the batteries will fail within the first 65 months of use

Respuesta :

Answer:

2.28% of the batteries will fail within the first 65 months of use

Step-by-step explanation:

We have a bell shaped battery life distribution. Let X be the random variable that represents a battery life in months. If we suppose that we can model the battery lifes with the normal distribution with [tex]\mu = 75[/tex] months and [tex]\sigma = 5[/tex] months, we have the normal probability density function

[tex]f(x) = \frac{1}{\sqrt{2\pi(5)^{2}}}\exp[-\frac{(x-75)^{2}}{2(5)^{2}}][/tex],

we are seeking [tex]P(X \leq 65)[/tex].

[tex]P(X \leq 65) = \int\limits_{-\infty}^{65} f(x) dx[/tex] = 0.0228. So

2.28% of the batteries will fail within the first 65 months of use. We can use a table from a book or a programming language to compute the probability, here we use the instruction pnorm(65, mean = 75, sd = 5) and the R statistical programming language.