...4 .Week 5 .Week 6 .Week 7 .Week 8 .Week 9 .Week 10 .Week 11 .Supplemental Instruction .Week 10 Assignment 1 Skip to Course Menu Skip to Top Frame Tabs . .Content Week 10 Assignment 1 - Submit Here . 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...
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...I am a manger over a bottling company called Smith Bottling. I have been the manager with this company for the past 10 years and this is the first complaint of this magnitude and I want to ensure that the issue is proved and resolved. We have been getting complaints from customers that the 16 ounce bottles are less that advertised. We pride ourselves here on customer service and want to ensure all customers are receiving what they pay for and happy with their purchase. First step was to obtain samples to test. I asked a few employees to obtain 30 bottles (wanted a good range of sample). The initial weights of the samples taken for review were 14oz. and 16 oz. After taking these samples, I have to bring myself to the realization that there was in fact a problem with the bottling amount. I thought by calculating the Mean, Median and the Standard Deviation, I could come up with better numbers and provide a better detail to my investigation. The mean is the total of the samples divided by the actual number of samples that were taken. Since I took 30 bottles, and the total numbers of ounces were 446.1 this provides a mean of 14.87. The median is the middles number once all samples are sorted in numerical order. I figured the median to be 14.8. The standard deviation is the distance each number is from the next number. I had to find the square root of the variance giving me a number of 0.5503. Smith Bottling is hopeful of our process and wants to make sure every...
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...Running head: BOTTLING COMPANY CASE STUDY 1 Bottling Company Case Study BOTTLING COMPANY CASE STUDY 2 Abstract In this assignment, I am a manager at a major bottling company and the customers have begun to make complaints that the bottles of the brand of soda produced at the company I work for have less than the advertised 16 ounces of soda. My boss wants me to solve the problem and has asked me to investigate into the situation. I have the employees on the floor pull 30 bottles off the line at random from every shift which I assume is from three shifts and I have asked the employees involved to measure the amount of soda there is in each of the 30 bottles. The Mean, Median and Standard Deviation The mean or average of a data set is simply the average of all the numbers in the set. To find the average mean add up all the numbers in the data set and divide by how many numbers in the set. In this situation, there are 30 bottles with the weight of 14.5, 14.6, 14.7,14.8,14.9,15.3,14.9, 15.3, 14.9,15.5,14.8,15.2,15,15.1,15,14.4,15.8,14,16,16,15.8,14.5,14.1,14.2,14,14.9,14.7,14.5, 14.6,14.8, and 14.6. The total is 446.1 and divided by 30 and the mean is 14.87. The median is calculated by arranging the data in order and selecting the middle point and in this data set the median is an even number so we have to add the...
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...Bottling Company Case Study TaNeesh Williams Derrick Barbee MAT 300-Statistics March 14, 2015 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. 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. The mean and median are measures of tendency which are also called measures of average. The mean is found by adding the values of the data and dividing by the total number of values. The median is the halfway point in a data set and found by arranging the date in order (Bluman, 2013, p 113-117)....
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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 14.87...
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...40 Mount Street, North Sydney, Nsw, Australia www.ccamatil.com April 5th 2013 Subject: Case Study on Coca- Cola Amatil (Australia) I am pleased to submit “A proposal for the Blow fill technology Packaging Project”. The material described in the attached proposal used the most relative and advance data on implementation of blow fill technology by Coca Cola Amatil. Of the particular interest are the state of the art technologies that are used by the organization to improve the supply chain and make environment friendly. The proposal explains the need to work on analyzing the crucial issues faced by the organization while implementing this technology. Please have a look at the case study proposal and in case you have any questions, please do not hesitate to contact. Yours truly, Niranjan R Balikai Project summary The case study would work on analysing, the implementation of blow fill technology at Coca Cola Amatil. Based on the current information, implementation of this technology will reduce the risks associated with quality. The contamination of bottle can be avoided. The use of blow- fill technology at CCA lead to cost reductions along with reduction in carbon footprint at CCA by eliminating the empty bottle storage, transport costs and raw material rise PET resin which was previously used to manufacture bottles. The most important point of focus in this case is to analyse the benefits that CCA derives from implementation of blow fill technology and to...
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...afafasfasfasfafafas CASE STUDY – INDIAN BEER INDUSTRY Microeconomics Group Assignment Group 3: Shubham Arora – 3 Karthik B – 4 Manisha Garg – 19 Rama Lakshmi M - 32 Sstitute of Management S.P Jain Institute of Management and Research Research Indian Beer Industry – Case Study Analysis The Indian beer industry has been witnessing steady growth of 7-9% per year over the last ten years. The rate of growth has remained steady in recent years, with volumes passing 100m cases during the 2005-2006 financial year. With the average age of the population on the decrease and income levels on the increase, the popularity of beer in the country continues to rise. Industry Consolidation and Emergence of a new Bi-polar Market Dynamic The Indian beer industry has witnessed a big change during the last five years. The industry was previously dominated by competition between the Vijay Mallya-controlled United Breweries Group and the Manu Chabbriacontrolled Shaw Wallace. The scenario changed, however, with the entry of SABMiller in India. The international beer giant started by acquiring small breweries in the south but then completely changed the landscape with the acquisition of Shaw Wallace’s beer portfolio for a reported US$132m in 2003. This gave SABMiller ownership of strong brands like Haywards 5000, along with its existing brands. After the acquisition, SABMiller focused on spreading its footprint across India, including opening new breweries in states where Shaw Wallace did not have...
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...Assignment #1: Bottling Company Case Study By: unknown Instructor: Dr. Unknown Strayer University Course: MAT 300 Date: September 7, 2014 Assignment #1: Bottling Company Case Study Dear Mr. Brooks, Due to multiple customer complaints that we have 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 |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 ...
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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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...Bottling Company Case Study Vincent Bacon Dr. Pamela Self MAT 300 Statistics December 14, 2013 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 give us a better perspective of the average than just the mean will. In this case it will be 14.8 + 14.8 / 2, which equals 14.8. The standard deviation is calculated to show how far apart the data can be. In the bottling case, after using the mean to get the variance, we divided by 30-1 to get a standard deviation of 0.55 (rounded down to two decimal places). Construct a 95% Confidence Interval for the ounces in the bottles. In order to construct a confidence interval, we need several statistics. The first is the sample mean, which is 14.9. Since we have selected a confidence interval of 95%, we need to find the margin of error to calculate our findings. Using the t-score model ( compute alpha, find the critical probability [.975], the degrees of freedom [999]) (StatTrek, 2013), we find that the critical value is 1.96. When we multiply this by the confidence interval...
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...Ciccarone August 25, 2011 People purchase bottled water as a healthier alternative than tap water. Convenience is another reason for purchasing bottled water. This convenience may come with repercussions. There are debatable issues that arise regarding bottled water such as possible health risks and the environmental impact on many levels. Many companies are going green, yet it may not be enough. Many purchase for better tasting water, although recent taste tests have concluded it may be a case of mind over matter. A solution could possibly be switching to filtered water. The convenient and presumed tasty bottled water people crave may come at the cost of negative effects on consumer’s physical health and the environment. Bottled water may provide a convenient and healthy alternative in many cases. In the case that the local tap water systems may be contaminated. If tap water is unavailable due to travel or system difficulties bottled water could be a great convenient back up. Some may argue having bottled water on hand helps people of all ages stay hydrated. The one event that bottle water is a savoir is natural disaster. During natural disasters such as hurricanes, tornados or tsunami’s local systems are usually shut down. People could also lose the availability to running water since homes may have been destroyed. A great example according to “Nursing Standard” is when “Hospitals and nursing homes were among thousands of buildings affected by burst...
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...Operations Management Case Study - 2 Benny Breweries: Bottle Replenishment THE BOTTLE REPLENISHMENT DECISION Early in 2004, Manish Krishnan, purchasing manager for Benny Breweries, Mangalore, was trying to determine how many bottles to purchase in the coming year. During 2003, the market had leveled off, and 2004 sales predictions were difficult. On the one hand, Krishnan wanted to be sure that sufficient bottles were available to supply 2004 sales levels, yet also wanted to minimize year-end inventories. Covered storage space for empty bottles was tight, and a bottle design change seemed possible in 2005 or 2006. COMPANY BACKGROUND Benny Breweries was located in Mangalore. Over the years, the company had established an excellent reputation. Benny Beer had begun to gain popularity of late, and as a result, a modest market expansion started in 2000. In February 2004, sales reached the highest level in the company’s history. However, in 2003, the sales increase had been well below the trend average (see Exhibits 1 and 2). Four sales peaks occurred during the year: Holi, Christmas, Easter and Onam (refer appended note). Holi was the highest sales period but each peak caused the company to operate on tight schedules and Benny hired more labor and scheduled extra shifts. BREWING PROCESS Beer brewing started with extraction of sugar from malt by an enzymic process. This sugar was then boiled with hops, producing a sterilized and concentrated solution. The resins extracted from the...
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...Case 27: New Belgium Brewing 1) What are the ethical issues in this case? - Ethics is a commonly used term that refers to the ideas and issues of right, wrong, fairness and justice. In regards to business, the concept of ethics refers to the ideas and issues in the commercial industry. In the New Belgium Brewing case study, there are many ethical concepts displayed. A positive ethic in regards to doing right is the company’s mindset that profitability comes second and their commitment to providing a quality product and business for consumers. In addition, all the companies’ decisions are based on a strong set of core values and beliefs that have made them shine in society. Furthermore, New Belgium Brewing (NBB), is ethically sound because they have developed their business around being environmentally friendly. NBB has developed an industry leading process to minimize their environmental footprint from recycling, clean energy sources and cutting back on their CO2 emissions. This is a very ethically sound company and continues to be successful as they continue to grow. 2) What keeps other companies from having the commitment to environmental sustainability that NBB has evidenced? - One piece of evidence that NBB has observed that is keeping other companies in the industry from a commitment to environmental sustainability has to do with the recycling of glass bottles. NBB has attempted to develop an idea for a bill known as the “bottle bill” that would promote...
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...Background of the company chosen: Hawaiian Punch is a well-known brand of fruit punch drinks owned by Dr. Pepper Snapple Group, Inc. (DPS). The company experienced several ownership handovers and some of the most recent ones include Procter & Gamble sold Hawaiian Punch to Cadbury Schweppes in 1999, and Dr. Pepper Snapple was spun off from Cadbury Schweppes in 2008. The Current Situation of the Company: The main source of our study comes from an intensive case study that illustrates Hawaiian Punch’s “Go-to-Market Strategy” decision option, faced by the company’s Marketing Director Kate Hoedebeck during the time span from year 2004 to 2005. As the number one fruit punch drink sold in the United States, Hawaiian punch enjoyed its continuous success. Its goals are very much aligned with the customers’ needs, in the long-term it aims to maintain its competitiveness through high customer satisfaction, extensive product development, easy accessibility and better profits attainable for retailers to stock and sell. In terms of its strengths, it has already become Cadbury Schweppes’ fourth largest brand by volume. Since the acquisition of Hawaiian Punch by Cadbury Schweppes from Procter & Gamble in 1999, the company had employed two distinct and separate manufacturing, sales and distribution networks to stock and serve identical or similar beverages for the same retail customer. This dual distribution strategy by many has been seen as one of Hawaiian Punch’s strength, leading it towards...
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...ANALYSIS OF MARKETING STRATEGY OF MINERAL WATER INDUSTRY [A CASE STUDY OF BISLERI] A RESEARCH REPORT SUBMITTED IN THE PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE DEGREE OF MASTER OF BUSINESS ADMINISTRATION TO INDRAPRASTHA UNIVERSITY, DELHI (2004-06) Submitted To : Submitted By : Mrs. Harpreet Kaur Nitesh Kumar BLS INSTITUTE OF MANAGEMENT MOHAN NAGAR GHAZIABAD CONTENTS CONTENTS Acknowledgement Executive Summary INTRODUCTION • About the industry Mineral Water Industry- Current Market Scenario Company Profile Marketing Strategy Advertising Campaign of Bisleri Packaging and Distribution Marketing Mix Competition in Market Product Profile Manufacturing • Objective • METHOD OF STUDY • Research Design • Tools and Instrument Used for the Study • Procedure and data collection • RESULT AND DISCUSSION • Findings and Statistical Analysis • SWOT analysis Conclusion • Recommendation • Limitations • Bibliography Annexures ACKNOWLEDGEMENT ACKNOWLEDGEMENT The accomplishment of my research was possible only due to the cooperation, coordination and united efforts of different individuals, several sources of material, knowledge and time. Pertaining to this I therefore take this opportunity to express my deep sense of gratitude to entire staff and employees of the Bisleri...
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