Constructing a 95 percent interval will establish the mean of the population since the mean of the population is not known.

Issuing a daily calibration of the machinery is a way to avoid the deficit in the future. The alternative hypothesis is H1 less than sixteen ounces.

The null hypothesis is H0 greater than or equal to sixteen ounces. I would insure them that the problems has been address and is being looked at. The value of the test is calculated by the mean 1 minus mean 2.

There could possibly be a million sodas produced with only ten customer complaints. The P value is greater than the significance level of test which is. For the hypothesis test the calculation has to verify if the claim that a bottle contains less than sixteen 16 ounces that was advertised.

The lower and upper limit will be given to locate the interval using the standard normal confidence interval. If using a significance level of. To verify the claim that the bottles contain less than sixteen ounces of soda a hypothesis test will be performed. This statistical analysis validates that the consortium should seek to defend any lawsuit Tommy or any other unhappy moviegoer files.

The employees at the company have measured the amount of soda contained in each bottle.

I would insure them that the problems has been address and is being looked at. This suggests the alternative hypothesis must be true that the soda in the bottles is less than sixteen ounces.

The other hypothesis is a null hypothesis were the bottle of the brand of soda produced do not contain less Han the advertised sixteen 16 ounces of product.

Calculate to find the interval by imputing Z. It has to have a bit of air in the bottle so there can be room for the liquid. The results of the sample size of people indicate that the percentage range is from 1.

This interval proves the soda in the bottles did not contain sixteen ounces. Discuss application of course content to professional contexts. More essays like this: The calculation to find the mean is to add all the ounces per bottle. The mean among the sample bottles is Include your speculation on the reason s behind the claim, and recommend one 1 strategy geared toward mitigating this issue in the future.

The lower limit is With this study there can be two hypothesis one could be the alternative hypothesis that would be the bottles of the brand of soda produced contains less than the advertised sixteen 16 ounces of product.

Enter the mean For the hypothesis test the calculation has to verify if the claim that a bottle contains less than sixteen 16 ounces that was advertised. The standard deviation must be known in order to compute the confidence interval. The median for the soda bottles is The type of error used in the hypothesis is type I error.

References Choose Type of service. Statistically the issue could stem from the unknown population of how many customers complained. The mean will be calculated by averaging the amount of ounces in each bottle and dividing the total by the number of bottles. The confidence interval of 95 percent can be found using a normal distribution calculator.

Issuing a daily calibration of the machinery is a way to avoid the deficit in the future. With a mean score of Now order to verify this claim the employee will pull thirty 30 bottles off the line at random from all shifts at the bottle plant.

If we did not create a second hypothesis test using a sample size ofwe would not have defended against Tommy in court and a Type II error would have been made. Calculate to find the interval by imputing Z.

Your assignment must follow these formatting requirements:. Assignment 1: Bottling Company Case Study MAT Statistics Strayer University December 15, Calculate the mean, median, and standard deviation for ounces in. Mat Statistics Bottling Company Case Study Assignment 1: Bottling Company Case Study MAT Statistics Strayer University December 15, Calculate the mean, median, and standard deviation for ounces in the bottles%(6).

Statistic Case Study for Bottle Company Essay Investigating Bottling Company Case Study T.P University Statistics Mat Mr. Thevar December 01, Investigating Bottling Company Case Study The case study that is being investigated is for a bottling company producing less soda than what is advertised.

Assignment-Bottling Company Case Study. Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen ounces of product.

Investigating Bottling Company Case Study T.P University Statistics Mat Mr. Thevar December 01, Investigating Bottling Company Case Study The case study that is being investigated is for a bottling company producing less soda than what is advertised.

Statistic Case Study for Bottle Company The case study that is being investigated is for a bottling company producing less soda than what is advertised. Customers have complained that the sodas in the bottles contain less than the advertised sixteen ounces.

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