write a 150-word answer/response on the below comment (Part A) AND the question (Part B) on the specific topic. Part A. A measure of variability is a summary of statistics that represents the amount of distribution in a dataset. In other words, how spread or scattered are the variables in a given dataset. What we learned in last week’s readings is that the measure of central tendency describes a standard value, measure of variability define how far away from form the center the data points fall from the center. The context about variability relate to the distribution of a given value. Further, a lower distribution indicates that that the data points tend to more closely cluster around the center. If it is a higher distribution, the spread tends to fall farther away from the center, The example that best resonated with me was in regard to weather, which is germane to all of us on a daily basis. Extreme weather can cause problems in seasonal weather patterns. For example, you may see a weather report where the weather person shows extreme cold in one area and heavy snow in another. The question is how you correlate the two and have a standard deviation. Oftentimes, we are frustrated and confused by the extremes more than the standard. Attempting to understand the variability from the standard or mean is a vital learning point and key data point. Variability exits in all data. Nothing is exactly the same every time. Simply, even if you cook an over easy egg each day, you never cook it the exact same way every day. There is a difference or a variability, it is just inherent in all data. In summary, one key outcome from the learnings or main point this week from Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018) is a single number that describes how much variation and diversity there is in the distribution. Numbers that describe diversity or variation are called measures of variability. Researchers often use measures of central tendency along with measures of variability to describe their data. In this week’s readings, we discuss five measures of variability: (1) the index of qualitative variation, (2) the range, (3) the interquartile range, (4) the standard deviation, and (5) the variance. Before we discuss these measures. Finally, it is important to discover why the measure of variability is important in research. Reference Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc.  Part B. In light of the Covid-19 update pandemic that confronts us today are we able to measure variability to assist in the containment of the viral spread? Evolution of Nursing as a Profession INTRODUCTION The nursing profession has progressed through a series of changes that have paralleled the development of the nursing education, researches and practices. Therefore, the changes in nursing profession are affected with the changes in nursing services, researches,.

1. write a 150-word answer/response on the below comment (Part
A) AND the question (Part B) on the specific topic.
Part A.
A measure of variability is a summary of statistics that
represents the amount of distribution in a dataset. In other
words, how spread or scattered are the variables in a given
dataset.
What we learned in last week’s readings is that the measure of
central tendency describes a standard value, measure of
variability define how far away from form the center the data
points fall from the center. The context about variability relate
to the distribution of a given value. Further, a lower distribution
indicates that that the data points tend to more closely cluster
around the center. If it is a higher distribution, the spread tends
to fall farther away from the center,
The example that best resonated with me was in regard to
weather, which is germane to all of us on a daily basis. Extreme
weather can cause problems in seasonal weather patterns. For
example, you may see a weather report where the weather
person shows extreme cold in one area and heavy snow in
another. The question is how you correlate the two and have a
standard deviation. Oftentimes, we are frustrated and confused
by the extremes more than the standard. Attempting to
understand the variability from the standard or mean is a vital
learning point and key data point.
Variability exits in all data. Nothing is exactly the same every
time. Simply, even if you cook an over easy egg each day, you
never cook it the exact same way every day. There is a

2. difference or a variability, it is just inherent in all data.
In summary, one key outcome from the learnings or main point
this week from Frankfort-Nachmias, C., & Leon-Guerrero, A.
(2018) is a single number that describes how much variation and
diversity there is in the distribution. Numbers that describe
diversity or variation are called measures of variability.
Researchers often use measures of central tendency along with
measures of variability to describe their data. In this week’s
readings, we discuss five measures of variability: (1) the index
of qualitative variation, (2) the range, (3) the interquartile
range, (4) the standard deviation, and (5) the variance. Before
we discuss these measures.
Finally, it is important to discover why the measure of
variability is important in research.
Reference
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social
statistics for a diverse society (8th ed.). Thousand Oaks, CA:
SAGE Publications, Inc.
Part B.
In light of the Covid-19 update pandemic that confronts us
today are we able to measure variability to assist in the
containment of the viral spread?
Evolution of Nursing as a Profession
INTRODUCTION
The nursing profession has progressed through a series of
changes that have paralleled the development of the nursing

3. education, researches and practices. Therefore, the changes in
nursing profession are affected with the changes in nursing
services, researches, and education and vice versa. These
changes also influence the role of nurse not only as a health
care provider but on the following roles:
Anisley Longa
Florida National University
BSN Program
NUR 4827
Professor : Angel Cano DNP, MSN, RN, ARNP/BC, ANP/C
Statement of Issues
Formal and informal lifelong learning are essential for nurses
to stay relevant as frontline leaders in health care. Identified as
an
evidence-based best practice in supporting the transition of
novice nurses into
professional practice, nurse residency programs are key to the
future of the nursing
workforce
. Assessing needs and designing, implementing, and evaluating
these programs are work
that nursing professional development specialists are perfectly
positioned to undertake.
Because of the nature growth in future need for nurses these
programs
give close,collaborative working relationship with both
academic
partners and organizational nursing leaders is essential.
Evidences
Accumulation of medical knowledge is a significant tool for
prevention of mistakes that are costly for people’s health and
providing high-quality care (Palatnik, 2016).
Effective communication skills among staff and patients are

4. also essential in order to perfectly understand the diagnosis,
prescribe the medication and any other related concerns (Baker,
2015).
Conclusion
To sum up, the role of the nurses in the future of medicine is
difficult
to overestimate. Firstly, nurses are able to pursue different
educational pathways
to provide high-quality care. What is more, the development of
the nursing practice
will be focused on the fostering of nurses with soft
professional skills
(Gerardi, 2015).
Finally, substantial funding in the medical institutions will
boost employee s
atisfaction and improve the status of nursing practice in the
society.
References
Palatnik, A. (2016). The future of nursing: Leading change,
advancing health...how are we doing? Nursing2016 Critical
Care, 11, 4-5.
Alexander, M. (2015). The future of nursing is now. Journal of
Infusion Nursing, 38, 95- 96.
Baker, K. (2015) Academic progression and the institute of
medicine goals: How are we doing? Gastroenterology Nursing,
38, 333-335.
Gerardi, M. (2015) The academic progression in nursing
initiative: The halfway point. Journal of Nursing
Administration, 45, 531-533.
Prediction of the future role of the nurse
My prediction of the future is that health care is challenged with
how nurses will keep up with ever-changing technology.
Leaders must recognize that education is necessary to make

5. technology user- friendly for all nurses. Technology ultimately
improves work flow. There are transformative changes
occurring in healthcare for which nurses, because of their role,
their education, and the respect they have earned, are well
positioned to contribute to and lead. To be a major player in
shaping these changes, nurses must understand the factors
driving the change, the mandates for practice change, and the
competencies of knowledge, skills, and attitudes that will be
needed for personal and systemwide success.