RUNNING HEAD: BUSINESS RESEARCH PROJECT PART 5 6
Business Research Part 5: Research Report and Presentation
Darrick Hogan, Sasha Bell, Raymonde Coffy, Cassandra Parker, Victoria Gosa, & Beverly Smith
QNT 561
August 3, 2014
Professor Joseph Hamel
Business Research Project Part 5
Learning Team C has chosen the Coffee Shop as the organization in which we will formulate a research problem. The independent variable presented is the customer experience. The dependent variable is the frequency of drinking coffee. The two variables will be measured to determine if there is a relationship between the two. Realistic Scenario
The Coffee Shops has a reputation of serving their customers perfectly blended quality coffee and excellent customer service around the world. The Coffee Shop dependence on suppliers and the price of coffee beans has increased, which causes the frequency of coffee drinking and the types of coffee blends to decrease because of the prices. The Coffee Shop does not grow its own coffee beans, so it has to buy from suppliers from different regions. The best quality of coffee beans are a commodity comes with a high price tag, and this fact puts pressure on cafes in a global scale (Tresslar, 2010). The coffee shop’s coffee prices depend on the suppliers and the price of the coffee beans.
Develop A Research A Question From The Two Variables Is there a relationship between the frequency of drinking coffee (DV) and the type of customer experience (IV). The hypotheses statements are as follows: H0: There is a relationship between the frequency of drinking coffee (DV) and the type of customer experience (IV). H1: There is no relationship between the frequency of drinking coffee (DV) and the type of customer experience (IV). The team presents information below that supports the relationship between customer experience and the frequency of drinking coffee. The information was contrived from peer-reviewed research. Customer Experience
The information presented focused on the customer experience that promotes the success of the company. Noted was how one customer had not visited the company in two months; however, one of the employees remembered his order. This created a good customer experience for the customer. Another example occurred when a customer was upset and was given a special blend for free. She would go on to send the company flowers and to become a regular customer (Nolan, 2007).
Customers are the core of a company’s success. Marketing has changed throughout the years. Companies focus on making the customer the number one priority. A customer’s needs and satisfaction come before anything else. The company has made this there main strategy in attracting customers. Revenue continues to grow as customer’s needs continues to be met. The company and the customers perceived the customer experience to be unique and a culture of its own (Talpau, A, & Boscor, D, 2011).
Sampling Plan
A study was conducted to determine the effects of customer experience on the frequency to drink coffee . Fifty customers were studied out of 150 customers that that purchased coffee on a specific day. The population size is 150 and the size is 50. The target population is the customers that frequent the Coffee Shop. Customers from the Coffee Shop were chosen because they can offer insight about the customer service of the Coffee Shop. The sampling element was conducted through survey. The size is 50. The method of random sampling will be a random stratified random sample.
Validity Achieved
Validity will be achieved by calculating the sample at a 95% confidence interval. This means that if the test is proven correct, there will be a 95% certainty that the proportion will fall in the confidence interval. The team can then accept or reject.
Human Subject Protection/Collection
The survey will not list any names or reveal who the subjects are. The subjects can feel free to answer honestly without fearing repercussions from the Coffee Shop employees. Surveys will be collected by cashiers. Customers that complete the survey will be given a free coffee beverage. After 50 surveys have been successfully completed and turned in, the results will be analyzed. The surveys will be used to determine if there is a pattern between the frequency of customers and the customer service experience.
Where data will be store/how it will be protected
The surveys will be stored in the store safe. The surveys will be protected by being in a coded safe. The code will only be available to the owner and the store manager. No personal information will be on the surveys. The data on the survey would not reveal a specific individual. The individual’s identity will be safe. There would be not cause of fear of repercussions from what is being answered in the survey.
The mean and the standard deviation are the appropriate descriptive statistics. The data was normally distributed. The mean and standard deviation are being used because the data presented is not skewed.
Frequency of drinking coffee
Distribution: Normally Distributed
Central Tendency: Mean is 241.39 and the mode is 255.
Dispersion: The standard deviation is 29.77. The range is 99. The interquartile range does not apply.
Number: 31
Min/Max: 200/298
Confidence Interval: There is a 95% confidence that the population average is between 239.910 and 251.870.
Descriptive Statistics Interpretation
Frequency of drinking coffee:
Thirty one different days were analyzed. The focus was on the frequency of coffee drinks purchased each day. The average customer was between 239.910 and 251.870. The average customer was 241.39, with a variation of plus or minus 99 customers. There is a 95% confidence that the amount of customers is between 239.910 and 251.870. The data was normally distributed. A period of 31 days were randomly selected.
Strengths of Data Presented
The mean, mode, standard deviation, and confidence interval provided, which supported by a histogram, a chart, and raw data. The calculations allowed the team to discern if data normally distributed or skewed. It allowed the team to validate the skewers or normal distribution by comparing against the graphs and histograms. The team also established a 95% confidence interval. As the project continues, the confidence interval can be used to establish how much confidence the team can have in the results (McClave, 2011).
Weaknesses Data Presented
The team needs to go more in depth with discerning the relationship between the two variables presented. Data could have been more supportive. The team still has to determine if the customer experience impacts the frequency in which customers’ comeback to drink at the Coffee Shop. Validity of the hypotheses has not been achieved yet.
One-Sampled Test with 95% Confidence
A one-sampled z test will be used to test the hypotheses at a 95% confidence interval. Based on a sample of 30, the mean is 241.39. The standard deviation is 29.77. The z-statistic is -0.3416. The z score is 1.96. The confidence interval is (228.88, 250.19).
Interpretation
Based on the information, the null hypothesis can be accepted. One must fail to reject the null hypotheses since the test statistic is less than 1.96. There is a 5% chance that the null hypothesis could be untrue. There is a 95% certainty that there is a relationship between the frequency of drinking coffee and the type of customer experience. The research also shows that one can be 95% confident that the value will be between 228.88 and 250.19.
Differences and Recommendations
Although there are many differences noted in the data provided, one of the major differences is the sample size. The size varies from 32, 50, and 100, it is recommended that the team choose a sample that is larger enough to reach adequate results for the research question. Another difference some of the data provided different results, one paper indicated to reject the null hypothesis whereas the others concluded to accept the null hypothesis.
Revised Tables or Figures Based on Prior Instructor’s Feedback:
Revised Tables or Figures Based on Prior Instructor’s Feedback:
