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3 pages/≈825 words
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APA
Subject:
Mathematics & Economics
Type:
Case Study
Language:
English (U.S.)
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Topic:

Bottling Company Case Study

Case Study Instructions:

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 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
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 there are less than sixteen (16) ounces in a bottle of soda, speculate on three (3) possible causes. Next, suggest the strategies to avoid the deficit in the future.
Or
b. If you conclude that the claim of less soda per bottle is not supported or justified, provide a detailed explanation to your boss about the situation. Include your speculation on the reason(s) behind the claim, and recommend one (1) strategy geared toward mitigating this issue in the future.
5. Include an introduction along with a strong thesis statement at the beginning of the paper.

Case Study Sample Content Preview:

Bottling Company Case Study
Name
Institution
Customer satisfaction is important for the success of any business. Every business manager has the obligation to ensure the firm’s products or services meet the customers’ expectation in order to make the customers satisfied. Failure to satisfy customer can have adverse effects to company’s operations. It can result to deteriorating brand loyalty among the consumers, causing low profit making for a business. For a product processing or manufacturing company, customer satisfaction can be enhanced by ensuring customers are provided with the right quantity and quality of the goods they purchase from the firm. In case of any noticeable defect on products, the company’s management should take drastic action in their decision of identifying the problem and further responding appropriately to correct the issue to avoid future similar problems that could jeopardise the reputation of their products and company among the consumers. Different methods can be used to identify a problem within a company’s products. This paper seeks to employ statistical methods in identifying the degree of quality defects among products in a soda bottling company. By conducting a hypothesis test for the ounces of the bottles, this would enable determining the position of the quality control of the company.
Table1: Descriptive Statistics
Bottle No.Weight (Ounce)(X)(x -  QUOTE  2Bottle No.Weights in Ascending Order114.50.13691614.00214.60.07292314.00314.70.02892114.10414.80.00492214.20514.90.00091414.40615.30.1849114.50714.90.00092014.50815.50.39692614.50914.80.0049214.601015.20.10892714.6011150.01693014.601215.10.0529314.7013150.01692514.701414.40.2209414.801515.80.8649914.8016140.75692814.8017161.27692914.801816.11.5129514.901915.80.8649714.902014.50.13692414.902114.10.59291115.002214.20.44891315.0023140.75691215.102414.90.00091015.202514.70.0289615.302614.50.1369815.502714.60.07291515.802814.80.00491915.802914.80.00491716.003014.60.07291816.10Mean =14.87 QUOTE  
0.302862Variance = 0.302862Standard Deviation =  QUOTE   0....
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