1. INTRODUCTION Team members: Institution: Professor: Date of submission:

2. MOCKING DATA Dependent variable: Coffee drinkers Independent variable: frequency of drinking coffee and the amount of customers that were satisfied

3. SUMMARY OF DESCRIPTIVE STATISTICS 100 coffee drinkers that were surveyed in a week. Average customer drinks in a week is 10.35 cups. The mode was 21cups of coffee. The median is eight cups per customers. The standard deviation is 7.663 Using a 95% confidence interval level was -4.699. The parameter lies within -4.699.

4. SUMMARY OF DESCRIPTIVE STATISTICS The customer coffee experience rating sum is 345. The total amount of people surveyed was 100. Mean of the survey was 3.45. The median or middle of the number is 4. The mode or most common of the numbers is 4. The standard deviation is.925 The 95% confidence interval level was 1.637. The parameter lies within 1.637.

5. SUMMARY OF THE RESULTS OF TESTING THE NULL HYPOTHESIS Null hypothesis, H0: There is no relationship between customer experiences (DV) and returning customers (IV) Alternative hypothesis, H1: There is a relationship between customer experiences (DV) and returning customers (IV). Since the P-Value< 0.05 hence we rejected H0 and accepted H1. Conclusion: There is a relationship between customer experiences (DV) and returning customers (IV).

6. STRENGTHS OF THE STUDY 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

7. WEAKNESSES 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

8. RESEARCH QUESTION Is there a relationship between the frequency of drinking coffee (DV) and the customer experience rating ? We sampled 100 coffee drinkers from three different cities Aim: Investigate the relationship between frequency of drinking coffee and customer experience rating

9. ANSWERS TO THE RESEARCH QUESTION From the p-value calculated, we rejected the null hypothesis. we concluded that there is significance relationship between the frequency of drinking coffee and customer experience among the three cities

10. CONCLUSIONS THAT WERE DERIVED FROM THIS STUDY There is significance relationship between the customer’s experience in drinking tea and the number of returning customers From the scatter plot, we conclude that through relationship is linear. Thus, increase in customers’ experience in drinking coffee will cause him to return to the coffee restaurant

11. RECOMMENDATIONS BASED ON THE RESULTS From the results, the relationship between number of customers returning to the coffee restaurants and their experiences is positive. Thus, since customer’s experience from a coffee restaurant determine whether he is likely to return to the restaurant, we recommend that coffee restaurants should enhance the customer’s experience to enhance customer returns and hence increase sales and profits

12. REFLECTION ON THE BUSINESS PROBLEM AND ITS SOLUTION The aim was to investigate the relationship between customers' experience and the number of customers returning back The results sampling involved 100 coffee drinkers from 3 different cities Their responses were consistent with our findings Thus, since customer’s experience influences their frequency of returning to restaurant, it is essential for restaurants to ensure high best customer experiences

13. RESEARCH CHALLENGES Low number of responses Research question whose conclusion is poor Inability to accurately measure customers’ experience in an appropriate rating scale Poor sampling methods Inconsistency of research question and variables used by group members

14. STEPS TO MINIMIZE CHALLENGES IN FUTURE RESEARCH Group of individual to respond Reword the research question

15. SUGGESTED FUTURE RESEARCH The research data should include more study factors that affect customers’ experience Data collection to include a wider sample of the population The study should also include the specific ingredients that promote customer’s experience

16. SUGGESTION OF FUTURE CHALLENGES, AND IMPLICATIONS Focus on customer quality Analyzing survey findings Develop new series of coffee, tea and fruit drinks Price reduction

17. REFERENCES Easton, Valerie. (2014). Confidence interval. Retrieved from http://www.stats.gla.ac.uk/steps/glossary/confidence_intervals.html Bald, B., & Moore, D. (2009). The Practice of statistics in the life sciences (1st ed.). New York: W.H. Freeman and Co. Math.uah.edu,. (2014). Hypothesis Testing. Retrieved 25 July 2014, from http://www.math.uah.edu/stat/hypothesis/http://www.math.uah.edu/stat/hypothesis/ McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for Business and Economics. (11th ed.). Boston, MA: Prentice Hall