Boxes of Honey Nut Oatmeal are produced to contain 16.0 ounces, with a standard deviation of 0.20 ounce. For a sample size of 49, the 3-sigma -x chart control limits are

Upper Control Limit (UCL-x) = ounces
Lower Control Limit =(LCL=max

Respuesta :

Answer:

[tex] Lower = \mu -3 \frac{\sigma}{\sqrt{n}}= 16- 3* \frac{0.2}{\sqrt{49}}= 15.91[/tex]

[tex] Upper = \mu +3 \frac{\sigma}{\sqrt{n}}= 16+ 3* \frac{0.2}{\sqrt{49}}= 16.09[/tex]

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 weigths for the Boces of Honey Nut meal of a population, and for this case we know the distribution for X is given by:

[tex]X \sim N(16,0.2)[/tex]  

Where [tex]\mu=16[/tex] and [tex]\sigma=0.2[/tex]

Since the distribution for X is normal, we know that the distribution for the sample mean [tex]\bar X[/tex] is given by:

[tex]\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})[/tex]

And using the 3 sigma rule we can find the interval like this:

[tex] Lower = \mu -3 \frac{\sigma}{\sqrt{n}}= 16- 3* \frac{0.2}{\sqrt{49}}= 15.91[/tex]

[tex] Upper = \mu +3 \frac{\sigma}{\sqrt{n}}= 16+ 3* \frac{0.2}{\sqrt{49}}= 16.09[/tex]