Level of Education and its Effect on Homelessness in Veterans

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Choose a scenario with data (Level of Education and its Effect on Homelessness in Veterans), construct a paper that pulls together the statistics you have learned in order to answer a question. You will:
1. Introduce the main question, and explain the data that you will use to address it
2. Organize your data by providing appropriate charts, graphs and descriptive statistics
3. Analyze your data by conducting a hypothesis test
4. State your conclusions and recommendations
Part 1: Collection of Data – Introduction and Primary Data Analysis (3 – 5 paragraphs):
1. Describe the objective: Before you can examine the data, you must understand the problem.
a. Discuss the importance of this issue or situation.
b. Introduce the company or organization you are preparing this report for, and explain
why it is important to them.
c. What is the research question? In other words, what is the basic question you, as the
researcher, want to address? Why should we care about it?
d. Was this an experimental or observational study? Explain.
2. Clearly and with sufficient detail, describe the population, sample, and collection methods in
this study.
a. What is the population you are interested in?
b. What is the sample, specifically?
c. What is a plausible way the sample was chosen and why?
d. What problems or biases might have occurred from choosing that type of sampling
method?
3. Discuss the type of data.
a. Was the data quantitative or qualitative? Explain.
b. What is the level of measurement (nominal, ordinal, interval and ratio)? Explain.
4. Describe the variables
a. What are the independent and dependent variables? Give the type, units, and more
specific information.
b. Give examples of any confounding variables, lurking variables, and/or missing variables
and explain how they may be affecting your study.
Part 2: Organization of Data – Examination of Descriptive Statistics (graphs and tables, and
approximately 4 paragraphs)
Now that your data is collected, you need to organize it to identify characteristics and patterns.
1. Graph your data appropriately. Construct a scatterplot, bar graph, or other graph to show
the nature of the data. For each graph, be sure you label the graph completely – that means
give it a title, label the axes, and explain what that graph means in the context of this
narrative.
2. Discuss whether the data is normally distributed. For this, use a visual inspection of a
Histogram and Normal Quantile Plot, as well as what you see in the data itself and what that
means about the high and low ends of the data.
3. Calculate and present the three Measures of Central Tendency: mean, median, and mode.
Provide both the value of the statistics as well as an analysis of what they mean in terms of
understanding the sample.
4. Calculate and present the Measures of Variation: range and standard deviation. Provide both
the value of the statistics as well as an analysis of what they mean in terms of understanding
the sample.
5. Calculate and present the 5-Number Summary: minimum, Q1, median, Q3, maximum.
Provide both the value of the statistics as well as an analysis of what they mean in terms of
understanding the sample.
6. Identify any Outliers. You can do this using a visual inspection of the graph as well as the
formulas from the textbook (HINT: Q1 – 1.5*IQR, and Q3 + 1.5*IQR).
7. Discuss any corrections: Based on your inspection of the outliers are there any errors that
should be corrected? How would you correct them? Discuss the implications of this result.
Part 3: Analysis of Data – Examination of Inferential Statistics (tables of results, and appropriate
hypothesis test steps)
Assuming that all assumptions have been met, it is now time to analyze the data. Present a complete
hypothesis test.
1. Identify the claim.
2. State the null and alternative hypotheses, in words and in symbolic form.
3. Explain what type of test you will be performing (i.e. a test of two dependent means, a test for
correlation, etc.) and why that test is appropriate to address the main question you are trying to
answer.
4. Select the significance level and determine if it is a one or two-tailed test.
5. Identify the test statistic and compute the value of the test statistic and the p-value.
6. Make a decision of whether to Reject or Fail to Reject the null hypothesis.
7. Restate your decision in nontechnical terms. That means, state your conclusion in a way that
anyone can understand; a final conclusion that just says “reject the null hypothesis” by itself
without explanation is not helpful to those who hired you. Explain in ordinary terms what it
means.
Part 4: Conclusion and Recommendations (approximately 3 paragraphs)
Summarize and explain your results. Provide recommendations.
1. What can you infer from the statistics?
2. What information might lead you to a different conclusion?
3. What variables are missing?
4. What additional information would be valuable to help draw a more certain conclusion?
5. What qualitative or quantitative data would you want to collect if you were hired to do a follow
up study?

Sample Solution

Section I: INTRODUCTION TO THE STUDY Introduction The country is encountering a basic deficiency of medical care suppliers, a lack that is supposed to increment in the following five years, similarly as the biggest populace in our country’s set of experiences arrives at the age when expanded clinical consideration is vital (Pike, 2002). Staffing of emergency clinics, facilities, and nursing homes is more basic than any time in recent memory as the huge quantities of ‘gen X-ers’ start to understand the requirement for more continuous clinical mediation and long haul care. Interest in turning into a medical caretaker has disappeared lately, likely because of the historical backdrop of the extraordinary and requesting instructive cycle, low compensation, firm and extended periods of time, and fast ‘wear out’ of those rehearsing in the calling (Wharrad, 2003).

A complex oversaw care climate in this country is restricting the dollars accessible to be spent on nursing care. Numerous wellbeing callings, particularly nursing, have the standing of ‘eating their young’ as opposed to offering compelling coaching to develop future medical services suppliers. Because of these variables, the quantity of medical attendants has diminished and businesses regard themselves as understaffed and seeking able work force. Before 2001 the decay had been apparent for a considerable length of time (Sadler, 2003). Nursing schools, public pioneers, medical services pioneers and the overall population is impacted by the absence of Registered Nurses (RNs) accessible.

As the populace ages, the assumption is that a rising number of RNs will be required essentially to keep up with the ongoing degree of medical care. Furthermore, the momentum ecological and political worries of expanding pandemic sickness, event of synthetic and catastrophic events, and expanding dangers of war, requires critical expansions in the medical services labor force (Jefferys, 2001). The public nursing lack and factors that increment the interest for expanding the nursing labor force notwithstanding public, state, and nearby debacles make the potential for a general wellbeing emergency. Nursing programs have endeavored to satisfy need for medical attendants by expanding enlistment and campaigning effectively for expansions in program subsidizing by schools and states for understudies.

Tragically, the issue of nursing understudy weakening hampers the best endeavors of nursing programs and irritates the public lack of Registered Nurses in the United States (Ofori, 2002). In 2003, the National League for Nursing revealed a positive vertical pattern in the nursing labor force supply in any case, the American College of Healthcare Executives (2006) detailed that in 2005, 85% of emergency clinic directors decided medical clinics needed more enlisted medical attendants to fulfill patient consideration needs. The United States Bureau of Labor insights showed by 2014, more than 1.2 million new and substitution nursing positions would be expected to meet the public medical services needs (Ramsburg, 2007).

Various broad endeavors to diminish weakening have been made by nursing programs including reinforcing affirmation methods and executing maintenance programs. Unfortunately, the issues of weakening keep on continuing nursing schools the nation over. Admission to a nursing program is serious and numerous potential understudies are denied confirmation every semester. Steady loss from nursing programs influences not just the particular understudy who is acknowledged to a nursing program and ineffective, yet in addition the understudy denied confirmation that might have been effective. Steady loss rates are expensive to understudies, nursing projects, and medical services the same by diminishing the quantity of likely alumni from schools of nursing and adding to the nursing lack. Many examinations feature the a lot higher than wanted whittling down rates for nursing understudies

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