Bottling cola A bottling company uses a filling machine to fill plastic bottles with cola. The bottles are supposed to contain 300 milliliters (ml). In fact, the contents vary according to a Normal distribution with mean μ = 298ml and standard deviation σ = 3ml.
What is the probability that a randomly selected bottle contains less than 295 ml? Show your work.

Respuesta :

Answer:

[tex]P(X<295)=P(\frac{X-\mu}{\sigma}<\frac{295-\mu}{\sigma})=P(Z<\frac{295-298}{3})=P(Z<-1)[/tex]

And we can find this probability using the normal standard table or excel:

[tex]P(Z<-1)=0.159[/tex]

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the amount of ml of a population, and for this case we know the distribution for X is given by:

[tex]X \sim N(298,3)[/tex]  

Where [tex]\mu=298[/tex] and [tex]\sigma=3[/tex]

We are interested on this probability

[tex]P(X<295)[/tex]

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

[tex]P(X<295)=P(\frac{X-\mu}{\sigma}<\frac{295-\mu}{\sigma})=P(Z<\frac{295-298}{3})=P(Z<-1)[/tex]

And we can find this probability using the normal standard table or excel:

[tex]P(Z<-1)=0.159[/tex]

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