that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles of the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Use the data set below. Bottle Number Ounces Bottle Number Ounces Bottle Number Ounces 1 14.5
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Bottling Company Case Study Calculate the mean, median, and standard deviation for ounces in the bottles. To determine the mean, which is the statistical average of all numbers involved, we will add the number of ounces together and divide by the number of bottles, in this case 30. For the mean we get 446.1 / 30, for a mean of 14.9. The median, however, is the ‘middle’ number of the bottles ounces. Since we have an even number, it will be the average of the two middle numbers, which will
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complain that the bottles of the brand of soda produced in this company contains less than the advertised 16 ounces of product. I have pulled 30 bottles of soda and am calculating the mean, median, standard deviation, constructing a 95% confidence interval and conducting a hypothesis test to verify the claim that a bottle contains less than 16 ounces is supported. The first set of tests will consist of calculating the mean, median and standard deviation for ounces in the bottles. Below is the data
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that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. 1. My first task is to calculate the mean, median, and standard deviation for the given ounces in the
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the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number Ounces Bottle
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the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number Ounces Bottle
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received, I performed a random testing of the production of our soda pop inventory. I had my team of employees pull a total of 30 bottles off of the assembly line at random; 10 per shift. I also, asked my employees to measure the amount of soda per bottle. The results are presented below. |Bottle Number |Ounces |Bottle Number |Ounces |Bottle Number |Ounces | |1 |14.5 |11 |15 |21 |14.1 | |2
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less than 16 ounces in them. During the course of my investigation I will calculate several different things. I will calculate the mean, median, and standard deviation for the random bottles of sodas that were picked to checked. I will then construct a 95% Confidence Interval for the ounces in the bottles. I will conduct a hypothesis test to verify my claim that each bottle contains less than the 16 ounces. Finally I will discussion my conclusion on my random test of these bottles. Calculations
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Mean, Median and standard deviation for ounces in the Bottles When finding the Mean, we calculate the sum of the values given and then divide the answer by the number of the given values. For instance, 30 values were presented in this case, representing measurements of soda bottles that was carried out randomly. 14.23+14.32+14.98+15.00+15.11+15.21+15.42+15.47+15.65+15.74+15.77+15.80+15.82+15.87+15.98+16.00+16.02+16.05+16.21+16.21+16.23+16.25+16.31+16.32+16.34+16.46+16.47+16.51+16.91+16.96= 475.62
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complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11
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