...entrants For bottling companies, the threat of new players, i.e. new bottlers entering the market was low. This was primarily because of the prohibitively high fixed costs involved. The cost of setting up an efficient large plant with four lines, automated warehousing, and a capacity of 40 million cases was $75 million in 1998. Moreover, among the top bottlers in 1998, the variable costs included packaging (roughly half of the cost of goods sold), concentrate (one-third), nutritive sweeteners (one-tenth), and the remaining variable cost was labor. Apart from this, bottlers had to invest capital in distribution networks and trucks. As a result of these cost structures, bottlers operated on razor thin margins. Another barrier to entry for new entrants was that the established brands had gone on to create their own independent bottling subsidiaries (e.g. CCE and PBG). As these subsidiaries were handling the major share of volumes for Coke and Pepsi respectively, it became increasingly difficult for new bottlers to enter into exclusive contracts with established brands. For bottlers, due to the capital intensive nature of bottling industry, it was important to enter in contracts with brands that will utilize capacities fully. In the case of Coke and Pepsi, their incumbent bottlers were acquired by the giants to form their own independent bottling subsidiaries, therefore creating even greater barrier to entry for new players. Threat of substitutes For bottling companies, substitutes...
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...| The Bottling Company Case Study | MAT300 (Statistics)Professor Pamela Self | | | 9/7/2014 | | 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...
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...Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points 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 (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. NOTE: The Excel workbook containing the above data can be downloaded from here: MAT300_Assignment 1_Data.xlsx In a Word document, write a two to three (2-3) page report in which you: Calculate the mean, median, and standard deviation for ounces in the bottles. Round your final results to 3 significant places after the decimal. Construct a 95% Confidence Interval for the ounces in the bottles. Round your final results to 3 significant places after the decimal. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Use 0.02 as the level of significance. Clearly state the logic of your test, the calculations, and the conclusion of your test. Note that for performing a hypothesis testing, the following quantities have to be calculated: (a) The sampling error...
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...Bottling Company Case Study Jason Otterbach Instructor: Agata Corobana Strayer University June 8, 2014 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 (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. A Confidence interval is a term used in inferential statistics that measures the probability that a population or sample parameter will be fall between two set values. The confidence interval can take any number of probabilities, with the most common being 95% or 99% (Investopedia.com, n.d.). To find the 95% confidence interval for the ounces in the bottles, we need to find the margin of error E. E =Z_C*(Ó/√(n) 446.1 / 30 = 14.87 x̄ = 14.87 n= 30 σ = 0.5503 E = (14.87 + 14.87) / 2 = 14.8 The 95% confidence interval for the ounces in the bottles can be written as x̄ ±E = 14.87- 0.2 and 14.87 + 0.2 = 14.67 ~ 15.07 In conclusion, with 95% confidence, the mean of the ounces in the bottles is between 14.67 ~ 15.07 ounces. A statistical hypothesis is a statement about the distribution of the data variable X. Equivalently, a statistical hypothesis specifies a set of possible...
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...Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points 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 (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 Number Ounces Bottle Number Ounces 1 14.23 11 15.77 21 16.23 2 14.32 12 15.80 22 16.25 3 14.98 13 15.82 23 16.31 4 15.00 14 15.87 24 16.32 5 15.11 15 15.98 25 16.34 6 15.21 16 16.00 26 16.46 7 15.42 17 16.02 27 16.47 8 15.47 18 16.05 28 16.51 9 15.65 19 16.21 29 16.91 10 15.74 20 16.21 30 16.96 Write a two to three (2-3) page report in which you: 1 Calculate the mean, median, and standard deviation for ounces in the bottles. 2 Construct a 95% Confidence Interval for the ounces in the bottles. 3 Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your test. 4 Provide the following discussion based on the conclusion of your test: a. If you conclude that...
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...DESIGN AND DEVELOPMENT OF TRANSPARENT MANUFACTURING FACILITY OF COCA-COLA BOTTLING CO. CONSOLIDATED IN CHARLOTTE, NORTH CAROLINA Final Report Presented by TEAM G Abilash Patni Diana Montoya Hemant Chidrula Matthew Elliot Sandeep Singh Varunprasad Natu EMGT 6901 Advanced Project Management Fall 2015 Systems Engineering and Engineering Management Department The University of North Carolina, Charlotte * ACKNOWLEDGEMENT Completion of this project would not have been possible without the kind support and help of many individuals and organizations. Our team would like to extend my sincere thanks to all of them, especially the following groups and departments from Coca-Cola for their support and cooperation to make this project a success: Maintenance, Production, Materials, Marketing, Customer Relations, and Quality. Without their willingness to help in the planning and construction of the renovation of the Charlotte facility, success would not have been possible. ABSTRACT veloping, upgrading/converting the current practices and bottling facility into “glass” where everyone will be able to see through. Charlotte, NC home of the first Bottling Company for Coca-Cola, places #57 in the top places that drink most soda nationwide [7], home of the Hornets, Carolina Panthers, and Motor Speedway, with a population of close to 800,000 makes it the 17th largest city in the US based on population, and the perfect home for another attraction: A renovated transparent...
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...Soda company | Bottling Company Case Study | Dr. Gregory Wright | | Michael Painter | 12/10/2015 | Statistics | Bottling Company Case Study Customer satisfaction is important to any business that is in business to please their customers who buy their products. That is no different than where I’m at as a manager of a bottling company. I want to make my customers happy and there have been complaints that our sodas are not meeting the labeled size of sixteen ounces. Customers are saying that there are less than sixteen ounces in our bottle. I plan to perform tests to see if we really do having a problem and if we do we need to correct the issue. For use to determine what is going on we collected a sample of bottles from all shifts at the plant for a total of 30 bottles. We calculated the amount of liquid in ounces of each bottle and recorded our date. We determined from the data gathered that out mean is 15.85 ounces, the mode was 16.21 ounces and the median was 15.99 ounces. From the data gathered we were then able to determine the standard deviation of the thirty bottles which was 0.66138 ounces. This information will allow us to see what our average is with the mean and from our average we are below the promised 16 ounces we promote. Then we look at our mode and it shows that our most commonly seen number is 16.21 ounces which tells our team that we have several bottles that are over 16 ounces. Once we achieve those numbers we construct a 95 percent confidence...
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...Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center. Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points 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 (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 Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Write a two to three (2-3) page report in which you: 1. Calculate the mean, median, and standard deviation for ounces in the bottles. 2. Construct a 95% Confidence Interval for the ounces in the bottles. 3. Conduct a hypothesis test to verify...
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...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 (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 Number Ounces Bottle Number Ounces 1 14 11 14.6 21 15 2 14 12 14.7 22 15 3 14.1 13 14.7 23 15.1 4 14.2 14 14.8 24 15.2 5 14.4 15 14.8 25 15.3 6 14.5 16 14.8 26 15.5 7 14.5 17 14.8 27 15.8 8 14.5 18 14.9 28 15.8 9 14.6 19 14.9 29 16 10 14.6 20 14.9 30 16.1 Calculate the mean, median, and standard deviation for ounces in the bottles. According to Larson and Farber, 2009, the mean of a data set is the sum of the data entries divided by the number entries. To find the mean of the sample data set the formula must be used: Sample mean x̄ = (∑x)/N = 446.1/30= 14.87 According to Larson and Farber, 2009, the median of a data set is the value that lie in the middle of the data when the data set is ordered. The given numbers in the table are in order, there are thirty entries (an even number). The median is the mean of the two middle entries. Median...
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...Religion | Origin of All Things | Nature of God | View of Human Nature | View of Good and Evil | View of “Salvation” | View of After Life | Practices and Rituals | Celebrations and Festivals | Week 2Hinduism and Jainism | Hinduism 8000-6000BCE.The name itself is questionable. It was possible a creation of the foreigners. This is the world’s oldest known religion.Jainism is the ideal of Mahaviar inc.2500BCE. but perfected by the kings son Bahubali. | I think that the Hindu has a supreme God but also thinks that man can achieve that state. They believe in deities also Shaivities,Vaishnavies.About fifty million Hindus worship a form of a goddess(Shaktas) and others. They also look at animals as sacred. The supreme God that they believe in is called Brahama.Jainism does not appear to have a God because this would mean feelings and caring.They see all things as being sacred and worthy to be praised. | Hinduism takes it view of Human Nature from a dualistic system, Advaita and Vedanta.They believed in a caste system that you would be born into and your actions allowed you to go higher and achieve more in after life. They believe that the individual is responsible for the problems in life.Karma was the reason for most sufferingJainism seems to rely mostly on Karma. | The Hindu view of good and evil was once in a religious text called the Code of Manu, 100-300 CE. This book much like the bible contained laws governing the proper conduct of rulers marriage laws, and dietary restrictions...
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...criminology and law enforcement workers must be able to articulate their actions and reasoning to the public in order to maintain their support. Without the ability to communicate effectively the details of the event may be seen as a public misconception. Criminologists and Investigators must be able to present their research and findings in a coherent manner to persuade the case and apprehend the subject or subjects. Three Reasons and Results How Communication is Effective The first communication skills is understanding the cultural orientation including diverse age, cultural, economic, ethnic and religious groups. With the understanding of many cultures, many businesses hire personnel with multiple languages skills. This helps the language barrier and comprehension of what being communicated. As criminal investigators, basic speaking and active listening skills are parts of investigate methods to report in the case as giving and receiving feedback and instruction to write the summary. Having the ability to reflect, restate and clarify the information obtained are techniques used for building a case. Reporting relevant information by developing, interpreting...
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...No If yes, when and where? Yes No List any employees of your corporation: List user groups, trade organizations, social/business networking, LinkedIn, technical blogs and/or frequently visited websites. EDUCATION: COLLEGE SCHOOL CITY STATE MAJOR CREDITS, DEGREES DIPLOMAS GRADUATE? DID YOU GRADUATE TECHNICAL CERTIFICATES The Company offers equal opportunity to all applicants for employment and all employees regardless of sex, age, race, color, religion, national origin, ancestry, marital status, veteran status, sexual orientation, disability, or any other status protected by applicable law. An applicant who does not meet the minimum qualifications of the position(s) for which they applied will not be considered for employment. WORK EXPERIENCE - PLEASE COMPLETE THIS SECTION EVEN IF YOU HAVE A RESUME Company: Address: Employed From: To: Position: Starting Pay: Technical Lead: Manager: Ending Pay: Perm Consultant Consultant to hire Reason for Leaving: Notes: Primary Technical Skills: Assigned/Placed By: May we contact as a reference? Title: Yes No Company: Address: Employed From: To: Position: Starting Pay: Technical Lead:...
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... Assn. 1: Bottling Company Case Study Strayer University Professor Anthony Myers MAT 300-Statistics 06/15/2014 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 (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 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Calculate the Mean, Median, and Standard Deviation for Ounces in the Bottles. As stated in Bluman, (2013), “the mean is found by adding the values of the data and dividing by the total number of values” (p. 114). In the data collected from the bottling company case study, the mean is...
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...2-3. Sheepskin Company had the following transactions during 2008. • Sales of $4,500 on account • Collected $2,000 for services to be performed in 2009 • Paid $625 cash in salaries • Purchased airline tickets for $250 in December for a trip to take place in 2009 2. What is Sheepskin's 2008 net income using accrual accounting? a. $3,875 b. $5,875 c. $5,625 d. $3,625 3. What is Sheepskin's 2008 net income using cash basis accounting? a. $5,875 b. $1,375 c. $5,625 d. $1,125 4. The matching principle states that a. expenses become costs when they expire. b. liabilities should be matched against assets on the balance sheet. c. expenses should be matched against the revenues they help generate. d. costs should be expensed when paid. 5. The balance in the income summary account before it is closed will be equal to a. the net income or loss on the income statement. b. the beginning balance in the retained earnings account. c. the ending balance in the retained earnings account. d. zero. 6. Fall Clothing Store had a balance in the Accounts Receivable account of $820,000 at the beginning of the year and a balance of $880,000 at the end of the year. Net credit sales during the year amounted to $6,120,000. The receivables turnover ratio was a. 7.2 times. b. 7 times. c. 6.9 times. d. 6.8 times 7. On October 3, Carter Company, received a cash payment for services previously billed to a client. The Company...
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...Expert systems are computer applications that combine computer equipment, software, and specialized information to imitate expert human reasoning and advice. As a branch of artificial intelligence, expert systems provide discipline-specific advice and explanation to their users. While artificial intelligence is a broad field covering many aspects of computer-generated thought, expert systems are more narrowly focused. Typically, expert systems function best with specific activities or problems and a discrete database of digitized facts, rules, cases, and models. Expert systems are used widely in commercial and industrial settings, including medicine, finance, manufacturing, and sales. As a software program, the expert system integrates a searching and sorting program with a knowledge database. The specific searching and sorting program for an expert system is known as the inference engine. The inference engine contains all the systematic processing rules and logic associated with the problem or task at hand. Mathematical probabilities often serve as the basis for many expert systems. The second component—the knowledge database—stores necessary factual, procedural, and experiential information representing expert knowledge. Through a procedure known as knowledge transfer, expertise (or those skills and knowledge that sustain a much better than average performance) passes from human expert to knowledge engineer. The knowledge engineer actually creates and structures the knowledge...
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