Transcript inferential_statistics_final

INTRODUCTION
Team members:
Institution:
Professor:
Date of submission:
MOCKING DATA
• Dependent variable: Coffee
drinkers
• Independent variable: frequency
of drinking coffee and the amount
of customers that were satisfied
SUMMARY OF DESCRIPTIVE
STATISTICS
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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.
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.
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).
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
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
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
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
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
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
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
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
STEPS TO MINIMIZE CHALLENGES IN
FUTURE RESEARCH
• Group of individual to respond
• Reword the research question
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
SUGGESTION OF FUTURE CHALLENGES,
AND IMPLICATIONS
• Focus on customer quality
• Analyzing survey findings
• Develop new series of coffee, tea
and fruit drinks
• Price reduction
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/
• McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics
for Business and Economics. (11th ed.). Boston, MA:
Prentice Hall