Participation

Participation

1. Vipal- Any variance in the quantity should be a matter of concern as this can mean either they are underfilling or overfilling the bottle. If they put too much Coke in a bottle company loses money and if too little is put in the can customers are short changed, and the State Department may fine the company. In this case company has set a variance limit of 0.5 ounces and if recent measurement is more than that then it is something that needs to be looked into. But before taking any actions few things that needs to be taken into considerations are; how many samples is this based on and what was the sample size. This is help define the confidence interval of the population based on the sample size selected.

VS

2. Christian – A 5 oz coke bottle which sells for $2.50 each took a lot of financial planning to determine the needed amount of liquid to price to meet business goals. In this scenario the goal was to sell 1,000,000 bottles of coke at a production cost of $1,250,000 and a profit of $1,250,000. $250,000 or 25 cents of each bottle sold was going to go to upgrade the coke machines needed for next year’s production. $500,000 or 50 cents of each bottle sold was going to pay the employees’ salaries for next quarter. Another $250,000 or 25 cents per bottle was going to pay for raw materials needed for the next batch of coke soda. Finally the last $250,000 25 cents per bottle was going to be profits. Instead of 5,000,000 ounces of coke soda making 1,000,000 bottles of coke to sell the variance was found to be 8 oz a bottle. Now only 625,000 bottles were able to be filled and sold for $1,562,500 instead of the projected $2,500,000. Instead of profiting $1,250,000 to be used for business needs, coke spend $1,500,000 to make $62,000. Small details are very important.

God bless,

Christian

3. Hunter- Hey class!

This Variance may seem like a very small error but when compared to the original variance it is a huge error of mechanics. As this variance could mean either a problem wiith customers in feeling of being cheated or in long term costs of overfilling bottles, both of which could lead to long term problems either way. This should lead to a change in the way they manage ad check their machines in order to keep up more consistant maintenence needed for the appropriate variance as well as researching what could cause this problem and finding solutions as quick as possible. That is what i would do, however i know that Coca-Cola makes a lot of money annually so if the overall costs of fixing the solution would far outweigh the cost of overfilling i would work mainly to cause the variance that has been being underneath the normal fill line that could cause customers to get less in their bottle. This would be the scarier factor to me as in the business world losing customers trust can be an insanely detrimental long term problem.

Hunter Finner

4. Christian- Being in the Gas department a right tailed test that could determine if a change is needing is comparing the EFV flow vales output to regulator size to bring better BTU flow, efficiency and reliability to customers meters. An EFV is a pressure-controlled fitting that will shut down the flow of gas in the event of a rupture. Sometimes if a regulator needs too much gas the EFV will accidently shut off the flow. For this right tailed test, the alternative hypothesis is that a 55psi service with an 1100 EFV matched with an AL 250 (250,00 BTU’s) meter will allow for better gas flow and efficiency without accidently shutting off the gas. The null hypothesis is that a 55psi service with a 600 EFV (currently used) parried with an AL 425 (450,000 BTU’s) will not have as good gas flow, is less efficient and sometimes accidently shuts off the gas when there is too much demand.

God bless,

Christian

5. Amber-If there are two accounting offices and the manager would like to know the level of variance in completing taxes without errors; the historical data suggests that previously the level of variance was .22. A right tailed test would be setting the null hypothesis by stating that the level of variance is less than or equal to .22 and the alternative hypothesis would be stated as the level of variance is greater than .22. If the null hypothesis is rejected then the test would have concluded that the level of variance is in fact higher than .22 and steps need to be taken to ensure that there are fewer taxes being filed without errors.

Blessed,

Amber Cochrane

6. Edgar- Hello Class,

The number of hours and an aircraft is flown a week must be at least 20 hours in order to create revenue, with an average of 35 hours. A right-tailed hypothesis will infer that most aircraft at the flight school is flown more than 40 hours a week 70% of the time. In order to prove this hypothesis, we will have to select a random sample of five aircraft own by the flight school and audit the number of times the aircraft was flown over 40 hours in the past year. The reason the average is less than the expected 40 hours will be to unpredicted issues such as maintenance and weather after analyzing the sample airplanes and the hours flown we can determine if the hypothesis is correct.