Descriptive Data and InterpretaDependent VariableIndependent Varia.docx

Descriptive Data and InterpretaDependent VariableIndependent
VariableFrequency of drinking coffeeType of Customer
ExperienceA study analyzes customer experience at the Coffee
Shop.Data on the number customers that frequent the shop over
a month period.Frequency of drinking coffeeType of Customer
Experience214Good234Good200Good222Good215Good230Goo
d255Good263Good201Fair225Good209Fair200Fair255Good266
Good287Good234Good255Good298Good288Good286Good233
Good243Good299Good213Fair254Good211Fair207Fair260Good
255Good234Good237GoodCount26Mean246.0769230769Media
n248.5Mode255Dispersion:Standard
deviation29.9465164277Interquartile rangeDoes not apply
because data is normally distributed.Range99Confidence
Interval (Data must be normal)There is a 95% confidence that
the population average is between ___239.910___ and
___251.870__.Normal or significantly skewed data:Data is
normalHistogram:Normal data will have a symmetrical or
slightly skewed shape.Significantly skewed shape will have an
extreme skewnessReferenceMcClave, J. T., Benson, P. G., &
Sincich, T. (2011). Statistics for Business and Economics.
(11th ed.). Boston, MA: Prentice Hall.
&C&"Times New Roman,Regular"&12&A
&C&"Times New Roman,Regular"&12Page &P
Descriptive Data and
Interpreta230025502630201022502090200025502660287023402
55029802880286023302430299021302540211020702600255023
4023700241.3870967742029.766510734200.9500
215
Good
Inferential Statistics and
Find2300255026302010225020902000255026602870234025502
98028802860233024302990213025402110207026002550234023
700241.3870967742029.766510734200.9500
215

Good
FrequencyFrequency of Drinking CoffeeType of Customer
Experience214Good234Good200Good222Good215Good230Goo
d255Good263Good201Fair225Good209Fair200Fair255Good266
Good287Good234Good255Good298Good288Good286Good233
Good243Good299Good213Fair254Good211Fair207Fair260Good
255Good234Good237GoodMean241.3870967742Standard
Deviation29.7665107342Confidence
Level95.00%0.05Confidence IntervalBetween 228.88 and
250.19The z score1.96Z Test statistic-
0.3416ReferenceMcClave, J. T., Benson, P. G., & Sincich, T.
(2011). Statistics for Business and Economics. (11th ed.).
Boston, MA: Prentice Hall.
&C&"Times New Roman,Regular"&12&A
&C&"Times New Roman,Regular"&12Page &P
ExperienceFrequency of cups of coffee customers drink in a
Week432121215123217125212742215222523393457211751012
28121381225215159105197821205821212582135112121211121
102112488144811216511218512192141102212113
Descriptive StatisticsCustomer Coffee Experience
RatingsFrequency of SatisfactionNot Satisfied-15Sometime's
Satisfied-215Satisfied-310Extremely Satisfied-
47024442444144414441444244424442444144414442444244424
44244424442443244324432443244344434443444344434443
DataFrequency of Cups of Coffee Customers Drink in a
WeekSUM: 1,035TOTAL NUMBERS: 100MEAN: 10.35
cupsMEDIAN: 8 CupsMODE: 21 CupsSTANDARD
DEVIATION: 7.66395% CONFIDENCE INTERVAL:-
4.699Customers' Experience RatingsSUM: 345TOTAL
NUMBERS: 100MEAN: 3.45MEDIAN: 4MODE: 4STANDARD
DEVIATION: 0.92595% Confidence Interval: 1.637
ScatterPlotFREQUENCYEXPERIENCE42212211211212232527
12121225292725222322121028284545424243454742421425494
74542434214104848454542142148411411412414421421414147
45424342141048484545421421484114114124144214214141421
42142342544424344414141412415419420421421321321343436

38393103133
Bar Graph
Bar
Graph421212122357221259752321108855223572212597523211
08855212181111121421211175232110885521218111112142121
112121232542341111215192021212121446891013
EXPERIENCE
FREQUENCY
EXPERIENCE
SCATTERPLOT EXPERIENCE VS. FREQUENCY
2
2
1
1
1
2
2
2
1
1
2
2
2
2
2
2
2
2
2
2
4
4
4
4
4
4

4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3

3
3
Histogram
HistogramNot Satisfied-1Not Satisfied-1Not Satisfied-1Not
Satisfied-1Not Satisfied-1Not Satisfied-1Sometime's Satisfied-
2Sometime's Satisfied-2Sometime's Satisfied-2Sometime's
Satisfied-2Sometime's Satisfied-2Sometime's Satisfied-
2Satisfied-3Satisfied-3Satisfied-3Satisfied-3Satisfied-
3Satisfied-3Extremely Satisfied-4Extremely Satisfied-
4Extremely Satisfied-4Extremely Satisfied-4Extremely
Satisfied-4Extremely Satisfied-4
RATINGS
FREQUENCY
BAR GRAPH FREQUENCY VS RATINGS
5
15
10
70
42121212235722125975232110885522357221259752321108855
21218111112142121117523211088552121811111214212111212
1232542341111215192021212121446891013
FREQUENCY
FREQUENCY
22111222112222222222444444444444444444444444444444444
44444444444444444444444444444444444443333333333
EXPERIENCE
EXPERIENCE
INTRODUCTION
Team members:
Institution:

Professor:
Date of submission:
MOCKING DATA Dependent variable: Coffee
drinkersIndependent variable: frequency of drinking coffee and
the amount of customers that were satisfied
The data variables was mocked into both depend and
independent variables. The dependent variable (response) is
coffee drinkers while the depend variables is the total frequency
of drinking coffee from the coffee restaurants.
*
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.
A total of 100 coffee drinkers were surveyed for a week. The
number of cups of coffee that was consumed during the week
were 1035 and thus the average coffee consumption per
customer was 10.35 cups for the whole week. Most consumers
consumed 21 cups of coffee over the week. The standard
deviation which represents the average deviation from the
standard consumption was 7.663. Using the 5% standard error,
the study found that the 95% confidence interval for the study
was -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.
The customers indicated their experience using a rating scale of
between 1 to 5. The total customer coffee experience rating sum
was 345. Thus, the mean survey was 100 from the 100 people
who were surveyed. The most common rating was 4 and the
standard deviation was 0.945. In addition, the 95% confidence
interval was 1.637.
*
SUMMARY OF THE RESULTS OF TESTING THE NULL
HYPOTHESISNull 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).
The study aimed at investigating the relationship between the
customers’ experience and the number of customers returning to
the restaurants. The p-value calculated was less than 0.05 and

thus we rejected the null hypothesis and accepted the alternative
hypothesis.
*
STRENGTHS OF THE STUDYMean, mode, standard deviation,
and confidence interval provided, which supported by a
histogram, a chart, and raw dataThe 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
The strengths of the study was the calculation of the mean,
mode, standard deviation and the confidence interval that were
supported by the charts, histogram scatter plots. These charts
and calculations enabled the team to evaluate data and
determine if it was normally distributed depending on the
skewness. The evaluation of the 95% Confidence interval
enabled the team to determine the margin error allowable to
determine the interval range of the values
*
WEAKNESSES The team needs to go more in depth with
discerning the relationship between the two variables
presentedData could have been more supportiveThe team still
has to determine if the customer experience impacts the
frequency in which customers’ comeback to drink at the Coffee
ShopValidity of the hypotheses has not been achieved yet
There were several weaknesses experienced during our study.

The team needs to examine in depth the relationship that exists
between the two variables in order to make a more conclusive
study. In addition, the collected data was inadequate and thus
there was need for more supportive data to ensure the validity
of the hypothesis is achieved.
*
RESEARCH QUESTIONIs there a relationship between the
frequency of drinking coffee (DV) and the customer experience
rating?We sampled 100 coffee drinkers from three different
citiesAim: Investigate the relationship between frequency of
drinking coffee and customer experience rating
The research question was establishing whether there is any
relationship between the frequency of drinking coffee and the
customers’ experience. A total of 100 people drinking coffee
within three different cities were sampled and their responses in
form of rating between one to five indicating their different
experiences analyzed.
*
ANSWERS TO THE RESEARCH QUESTIONFrom 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
There was a significance relationship between the frequency of
drinking coffee and the customer experience. The answer was
concluded after evaluating the sample responses and testing the
results against the null and the alternative hypothesizes.

*
CONCLUSIONS THAT WERE DERIVED FROM THIS
STUDYThere 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
Since the P-value was less than the margin error of 0.05, we
rejected the null hypothesis and accepted the alternative
hypothesis and concluded that there was a significance
relationship between customer’ experience and the frequency of
returning customers. To evaluate the nature of the relationship,
we used the scatter plot and concluded that the nature of the
relationship was positive. Thus, the two variables are positively
correlated with moderate degree of strength.
*
RECOMMENDATIONS BASED ON THE RESULTSFrom 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
From the study results, we recommended that since the

relationship between the two variables was positive, the coffee
restaurant needed to enhance the customers’ experience to
ensure more visitors. This is the major strategy that can be used
by the coffee restaurants to enhance their sales and hence
improve profitability.
*
REFLECTION ON THE BUSINESS PROBLEM AND ITS
SOLUTIONThe aim was to investigate the relationship between
customers' experience and the number of customers returning
backThe results sampling involved 100 coffee drinkers from 3
different citiesTheir responses were consistent with our
findingsThus, since customer’s experience influences their
frequency of returning to restaurant, it is essential for
restaurants to ensure high best customer experiences
The responses from the 100 drinkers who were surveyed in the
study were consistent with our findings. Thus, the results were
conclusive in arriving at our final conclusion that helped us in
answering the main research question which was to establish the
relationship between the two variables and also establish the
nature of the relationship for conclusive results to be achieved.
*
RESEARCH CHALLENGESLow number of responsesResearch
question whose conclusion is poorInability to accurately
measure customers’ experience in an appropriate rating
scalePoor sampling methodsInconsistency of research question
and variables used by group members

There were several challenges that were experienced which
included low number of responses from consumers, inclusive
research questions, inability to accurately measure the
customers’ experience and inconsistency of the research
question and the variables used by group members. In addition,
members carried out different studies and combining the
different data was the biggest challenge experienced by the
team members
*
STEPS TO MINIMIZE CHALLENGES IN FUTURE
RESEARCH
Group of individual to respond
Reword the research question
In order to minimize the challenges in future research by taken
a group of individual to respond the first draft of the survey
,which the feedback will give an idea of what information
missing, and what question confusing. Then reword the
research question to gain available an accurate result.
*
SUGGESTED FUTURE RESEARCHThe research data should
include more study factors that affect customers’ experience
Data collection to include a wider sample of the populationThe
study should also include the specific ingredients that promote
customer’s experience
SUGGESTION OF FUTURE CHALLENGES, AND

IMPLICATIONSFocus on customer qualityAnalyzing survey
findings Develop new series of coffee, tea and fruit drinks Price
reduction
Some of the recommendations are management should focus on
customer quality. Second, management should analyzing survey
findings and driving through action planning by having a
workshop. Third, Starbucks should develop new series of
coffee, tea and fruit drinks with better nutritional values for
health conscious customers, which will be use an outcome to
gain customer back and develop more effective marketing
strategies. Finally, Starbucks should have price reduction
strategies. That's why Starbucks researchers should pay more
attention to service quality, customer satisfaction, and
affordable coffee price.
*
REFERENCES
Easton, Valerie. (2014). Confidence interval. Retrieved from
http://www.stats.gla.ac.uk/steps/glossary/confidence_intervals.h
tmlBald, 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
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:
· EXPERIMENT 1
Frequency of cups of coffee customers drink in a Week
4
3
21
21
21
5
1
23
21
7
1
25
21
2

7
4
2
21
5
2
2
25
2
3
3
9
3
4
5
7
21
1
7
5
10
1
2
2
8
1
21
3
8
12
25
21
5
15
9
10

5
19
7
8
21
20
5
8
21
21
2
5
8
21
3
5
11
21
21
21
11
21
10
21
12
4
8
8
14
4
8
11
21
6
5
11

21
8
5
12
1
9
2
14
1
10
2
21
21
13
SUM: 1,035
TOTAL NUMBERS: 100
MEAN: 10.35 cups
MEDIAN: 8 Cups
MODE: 21Cups
STANDARD DEVIATION: 7.663
95% Confidence Interval:-4.699
· EXPERIMENT 2
Customer Coffee Experience Ratings
Frequency of Satisfaction

Not Satisfied-1
5
Sometime's Satisfied-2
15
Satisfied-3
10
Extremely Satisfied-4
70
2
4
4
4
2
4
4
4
1
4
4
4

1
4
4
4
1
4
4
4
2
4
4
4
2
4
4
4
2
4
4
4
1

4
4
4
1
4
4
4
2
4
4
4
2
4
4
4
2
4
4
4
2
4

4
4
2
4
4
4
2
4
4
3
2
4
4
3
2
4
4
3
2
4
4

3
2
4
4
3
4
4
4
3
4
4
4
3
4
4
4
3
4
4
4
3

4
4
4
3
SUM: 345
TOTAL NUMBERS: 100
MEAN: 3.45
MEDIAN: 4

MODE: 4
95% Confidence Interval: 1.637
Description or Interpretation of the Tables or Figures:
In experiment one, 100 customers that drink coffee in the coffee
shops were chosen to take a survey. The survey showed that the
average number of cups of coffee that the 100 customers drink
per week is 10.35 with a standard deviation of 7.264 and a 95%
confidence interval is -4.699.
In the second experiment, 100 customers that drink coffee in the
coffee shops were chosen to take a survey that allowed them to
rate their experience on a scale from 1 to 4. With 1 being not
satisfied and 4 being extremely satisfied. The survey showed
that the majority of the customers are extremely satisfied with
their coffee experience with a standard deviation of 0.925 and a
95% confidence interval of 1.637.

· EXPERIMENT 1
Frequency of cups of coffee customers drink in a Week
4
3
21
21
21
5
1
23
21
7
1
25
21
2
7
4
2
21
5
2
2
25
2
3
3
9
3
4
5
7
21
1

7
5
10
1
2
2
8
1
21
3
8
12
25
21
5
15
9
10
5
19
7
8
21
20
5
8
21
21
2
5
8
21
3
5
11
21

21
21
11
21
10
21
12
4
8
8
14
4
8
11
21
6
5
11
21
8
5
12
1
9
2
14
1
10
2
21
21
13

SUM: 1,035
TOTAL NUMBERS: 100
MEAN: 10.35 cups
MEDIAN: 8 Cups
MODE: 21Cups
95% Confidence Interval:-4.699
· EXPERIMENT 2
Customer Coffee Experience Ratings
Frequency of Satisfaction
Not Satisfied-1
5
15
Satisfied-3
10
70
2
4
4

4
2
4
4
4
1
4
4
4
1
4
4
4
1
4
4
4
2
4
4
4

2
4
4
4
2
4
4
4
1
4
4
4
1
4
4
4
2
4
4
4

2
4
4
4
2
4
4
4
2
4
4
4
2
4
4
4
2
4
4
3

2
4
4
3
2
4
4
3
2
4
4
3
2
4
4
3
4
4
4
3

4
4
4
3
4
4
4
3
4
4
4
3
4
4
4
3
SUM: 345

TOTAL NUMBERS: 100
MEAN: 3.45
MEDIAN: 4
MODE: 4
95% Confidence Interval: 1.637

Description or Interpretation of the Tables or Figures:
In experiment one, 100 customers that drink coffee in the coffee
shops were chosen to take a survey. The survey showed that the
average number of cups of coffee that the 100 customers drink
per week is 10.35 with a standard deviation of 7.264 and a 95%
confidence interval is -4.699.
In the second experiment, 100 customers that drink coffee in the
coffee shops were chosen to take a survey that allowed them to
rate their experience on a scale from 1 to 4. With 1 being not
satisfied and 4 being extremely satisfied. The survey showed
that the majority of the customers are extremely satisfied with
their coffee experience with a standard deviation of 0.925 and a
95% confidence interval of 1.637.
Summary of Results of Null Hypothesis
One can conclude that the two variable do have a relationship.
The null hypothesis can be accepted based on the test
conducted. The data also show that there is not a major
deviation in the mean and the sample data provided. One must
fail to reject the null hypotheses since the test statistic is less
than 1.96. One can be 95% confident that the value will be
between 228.88 and 250.19
Answer to Research Questions
The research for part one of the research project was is there are
relationship between the frequency of drinking coffee (DV) and
coffee blend types (IV)? There is a relationship between the
frequency of drinking coffee (DV) and coffee blend types (IV)

was the null hypothesis. There is no relationship between the
frequency of drinking coffee (DV) and the coffee blend types
(IV) was the alternative hypothesis. Based on the
recommendation of the instructor, the research question was
revised to variables more measurable. Is there a relationship
between the frequency of drinking coffee (DV) and the type of
customer experiences was the new question. The team can
conclude based on the data and testing results that there is a
relationship between the variables.
Recommendations based on Results
Based on the results, the recommendation is for the Coffee Shop
to concentrate on customer experience. The data shows that
there is a strong correlation between the frequency of drinking
coffee and the type of customer experience. The Coffee Shop
should incorporate quality customer service.
Reflection on Business Problem/
Solution
s
The business problem is lack of customer retention. The Coffee
Shop conducted research that highlighted the relationship
between customer experience and the frequency of drinking
coffee. A survey showed that some customers did not return
due to bad customer service experience. The solution would be

to provide employees with extensive training in providing good
customer service. Another solution would be to establish a
comment box. Employees use the comment box to improve the
customer's experience on the next occasions.
Research Challenges
Research challenges included developing a research question
that can be properly measured and tested. Until the proper
research question could be developed, the team could not
develop appropriate hypothesis testing. Another challenge was
finding the appropriate population and sample size used to
conduct the test. The team also was challenged with finding the
appropriate sampling method to be conducted to support the
testing and also providing data within charts, histograms, and
scatter plots that supported the testing results.
Steps to Minimize Challenges and Future Research
The first step would be to establish a population, sample
population, and target population that will work for the research
question. Each of these elements can alter the research in a
negative way, if not appropriate for the variables being used.
The next step would be to provide appropriate sampling element

(s) that can be used. The third step to minimize challenges
would be to establish appropriate tests to conduct with
measurable variables. The fourth and final step would be to
provide supporting elements, such as charts, histograms, and
scatter plots that can determine any type of correlation between
variables. The prices at the Coffee Shop are much more
expensive coffee shop; however the company has the highest
quality coffee beans (Dudovskiy, 2013). For future research,
the team suggest researching how to incorporate lower prices
while maintaining quality.
Conclusions Derived
The team derived that there is a relationship between the
variables presented. The frequency of drinking coffee varied
dependent on the type of customer service received. The results
are conclusive. The results are supported by a random sampling
survey, charts, graphs, histograms, and a one-sampled
hypothesis test.
Appendix A
Survey (Questionnaire)

1. Was your customer service excellent, very good, good, fair,
or poor?
2. How many visits during the past 30 visits has customer
service not been good do to employee attitude?
3. How many visits during the past 30 visits has customer
service not been good due to quality of coffee?
4. How many visits during the past 30 visits were you tempted
not to return?
5. How many visits during the past 30 visits would you
recommend The Coffee Shop?
Appendix B
Sample Size Calculation
95% Confidence Interval and 5% margin of error
Using a 95% confidence interval, the z score will be 1.96 based
from the chart. ɑ = 0.5
= (1.96)(1.96) x 0.5(0.5) divided by (0.05)(0.05)

= 3.8416 x 0.25 divided by 0.0025
= 385 sample size needed
(McClave, Benson, & Sincich, 2011).
Appendix C
Raw data used in the analysis
A study analyzes customer experience at the Coffee Shop.
Data on the number customers that frequent the shop over a
month period.
Frequency of drinking coffeeType of Customer Experience
214Good
234Good
200Good
222Good
215Good
230Good
255Good
263Good
201Fair

225Good
209Fair
200Fair
255Good
266Good
287Good
234Good
255Good
298Good
288Good
286Good
233Good
243Good
299Good
213Fair
254Good
211Fair
207Fair
260Good
255Good
234Good
237Good
Appendix D

Charts and Tables
Mean241.39
Appendix E
Descriptive Statistics
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
0
50
100
150
200
250
300
350
Frequency of drink-

ing coffee
Type of Customer
Experience
Appendix F
Revised Tables, Charts, Histograms, Scatterplot
051015202530
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
SCATTERPLOT EXPERIENCE VS. FREQUENCY
EXPERIENCE
FREQUENCY
EXPERIENCE

Not Satisfied-1
Satisfied-3
01020304050607080
BAR GRAPH FREQUENCY VS RATINGS
FREQUENCY
RATINGS
1713
41016
19
22
25
28
31
34
37
40
43
46
49
52

55
58
61
64
67
70
73
76
79
82
85
88
91
94
97
100
0
5
10
15
20
25
30
FREQUENCY
FREQUENCY

1713
41016
19
22
25
28
31
34
37
40
43
46
49
52
55
58
61
64
67
70
73
76
79

82
85
88
91
94
97
100
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
EXPERIENCE
EXPERIENCE
References
Dudovskiy, J. (2013). Starbucks. Retrieved from http://research-
methodology.net/starbucks/
Nolan, S. (2007). The Starbuck's Experience. Strategic HR

Review. (6.3). Retrieved July 111,
2014, from ProQuest database
Starbucks and McDonald's. Economics of Science. (Series V).
Retrieved July 11, 2014, from ProQuest database
Talpau, A. & Boscor, D. (Customer-Oriented Marketing. A
Strategy That Guarantee Success
Tresslar, T. (2010). Coffee Prices Rise as Cost of Beans
Increases. Dayton Daily News. Retrieved from http://research-
methodology.net/starbucks/
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