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Coffee Shop Observation – Black & Brew
Megan Yelvington
Nursing Statistics
Aspen University
Dr. Michael Jones
December 26, 2022
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Coffee Shop Observation – Black & Brew
Category
2:00 2:15 2:30 2:45 3:00 3:15 3:30 3:45 4:00
Noise
2
2
4
4
2
3
2
2
2
Behavior perception
1
2
2
3
1
4
1
1
1
# of People Present
5
10
12
13
10
8
5
3
3
# of Staff
4
4
4
4
4
4
4
4
4
Expression of customers
1
1
2
3
1
2
2
1
1
Expression of Staff
1
1
2
1
1
2
2
1
1
# of Laptops and Tablets
0
0
0
0
0
1
0
0
0
# of Business Meetings
0
0
0
0
0
0
0
0
0
Sitting Alone
0
2
1
0
0
1
2
0
0
Sitting 2+
0
8
11
13
10
7
3
3
3
14
12
10
8
6
4
2
0
Category
Mean
Median
Mode
Noise
2.88
2
2
Behavior Perception
1.7
1
1
# of People Present
7.6
10
6
# of Staff
4
4
4
Expression of customers
1.5
1
1
Expression of Staff
1.3
1
1
# of Laptops and Tablets
0.1
0
0
# of Business Meetings
0
0
0
Sitting Alone
0.6
1
0
Sitting Accompanied
6.4
8.5
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Qualitative data reference table: This key depicts the data above by representing what the
majority of people during that time frame were actively doing.
Expression of Staff
Expression of
Behaviors
Noise
Customers
1= blank
1= blank
1 = Using their phone 1 = Quiet
2= happy
2= happy
2 = Talking
2= Normal
conversation
3= upset/sad
3= upset/sad
3. working
3 =speaking loudly
4= anger
4= anger
4. People watching
4= unable to hear
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In Module 1 of Nursing statistics the class focused on statistical measurement and how it
is used to support evidenced based practice. Mathematics is not something that typically comes
to mind when someone thinks of the nursing practice however it is something that is used every
day. Data that is driven by evidence from well-designed research studies helps the
interdisciplinary staff make well informed decisions about the treatment their patient will
receive. In this paper I will be reviewing observational data gathered from a coffee shop and how
the skills of observational data is able to be translated into patient care in my nursing profession.
There are three key terms that help researchers digest a data set. This would be referred to
as measures of central tendency also known as mean, median and mode. “The mode is a category
or score that occurs with the greatest frequency in a distribution of scores in a data set. The
median is a score that lies in the middle of a rank-ordered list of values of a distribution. The
mean is the arithmetic average of all scores of a sample, that is, the sum of its individual scores
divided. (Grove & Cipher, 2020).” Nominal, ordinal, interval, and ratio scales are terms used to
describe how data sets are measured against each other. Nominal scales are numbers used to
classify variables for example when the nurse states rate your pain on a scale of 1-10. Pain is
subjective depending on the patient therefore the data is measurable but there is no true way to
tell between moderate and severe pain. In the data set for coffee shop observation at Black and
Brew nominal scales are used to measure data such as expressions of the staff, customers,
behavior, and noise. Interval scales are used to notate the difference between two values that are
meaningful. Ratio scales would be used to compare different data values. This specific data set
does not have any interval or ratio data.
During this observational data collection exercise, I learned the different ways data can
be analyzed, interpreted, and compared and that data can be collected from even the simplest of
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things. Observational data is extremely important when it comes to patient care. I will use this
new skill set when I am examining trends within a patient’s vital signs, their body language and
responsiveness and pain management. All these categories are pertinent to providing excellent
patient care and once the skill is developed over time, I will be able to collect data immediately
upon walking in the patient’s room and make critical treatment decisions without hesitation.
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Reference
Grove, S. K., & Cipher, D. J. (2020). Statistics for Nursing Research: A workbook for evidencebased practice. Elsevier.