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The Bottling Company Case Study |

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| The Bottling Company Case Study | MAT300 (Statistics)Professor Pamela Self | | | 9/7/2014 |

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Abstract
In my research I find the mean, median, and standard deviations. These are simple calculations that can be done in Excel as long as you have the correct information. I was given the ounces of thirty bottles and had to find out whether the bottling companies were putting less than the advertised amount of liquid into the bottles. I believe the companies were putting enough in there but my results showed different.

In my assignment, I had to find the mean, median, standard deviation, and confidence interval. I have inserted a spreadsheet to show my calculations. To find the mean I took the sum of ounces for all thirty bottles that were given (=average(B3:B32). To find the median I used the formula in Excel which is: =MEDIAN(B3:B32). To find the standard deviation, I used the formula in Excel as well which is: =STDEVA(B3:B32). The 95% confidence interval is +1.96 and -1.96. I took each bottle and added and subtracted the standard deviation from it to get my results. Majority of the bottles fell within the 95% confidence interval of 14.67 and 15.07.
From my results, I was able to create a hypothesis that the claim of bottling companies are putting less than sixteen ounces in the bottle to be true. There can be many reasons the bottles are coming with less than sixteen ounces in them. One reason could be the types of machines that are being used are not set to properly disperse the correct amount into the bottles. A company could have the machines set to only put in a certain amount that is less than what is advertised so that liquid is not being wasted. Another reason could be how the bottles are moved before the caps are put on the bottles. This could cause liquid to spill out before the tops are secured on the bottles. To resolve this is to

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