Write a quantitative survey about COVID 19 stress level and working hours.

Each student will submit a final draft that answers a specific question or questions about a population defined byinterest. Inferential statistics should include the following points: • Assumptions about the population, sampling distribution, or other facets of the investigation• Clear hypotheses about one or more qualitative or quantitativevariables of a well-defined population• Findings: Analytical summaries such as confidence interval and/or P-value, including a properinterpretation• Findings: Speculation upon the meaningfulness of results, as well as the limits and/or consequences ofany statistical inferencesformulating and interpreting hypothesis testsUSING THIS FORMAT Title(Choose a title that clearly and succinctly tells the reader the focus of the study.)IntroductionOne or two paragraphs introducing your project topic and review the descriptive statistic(s) from thedescriptive group draft that will be used in your hypothesis testing. Include any national statistics that support theimportance of your issue or that you will use as a comparison to your data here. Introduce the inferential analysisthat you will be presenting.FindingsTwo to three paragraphs addressing inferential analyses and conclusions drawn about specific variableswithin a well-defined population (make clear null and alternative hypotheses). Identify assumptions made aboutyour population, the sampling distribution of your sample statistic, or any other facet of your investigation, and thelimits of your conclusions. Include a P-value and/or a confidence interval as needed and interpret it. Use visuals asnecessary. See Part II: Final Draft (Inferential Statistics) of SIP-Assignment Instructions document.ConclusionOne paragraph summary regarding the overall meaningfulness of the statistical inquiry and the lessonslearned about project development and completion.ReferencesCite any source of national, state, or local statistics used as a null hypothesis.The information coming from this paper created below or sources cited The Effect of Our Nation’s Population During the COVID-19 PandemicDue to the impending force of Covid-19, all of our lives have taken a halt and many changes occurred. Some people have been furloughed from their jobs which lead to some people receiving a large pay cut and/or having their hours reduced significantly. As this continued, the government placed a “shelter in place” and a lot of businesses shut down, even schools for the remainder of the year. This leads to people having to work from home, which can create more problems, especially if you have young ones that require attention. As a group, we discussed how Covid-19 was creating such a large impact in our lives and we wanted to explore this topic in more detail and see how other people were dealing with this pandemic. After throwing many different variables out there to explore in relation to COVID-19, we decided to focus on the stress level people are experiencing due to all of the unforeseen changes of this pandemic. Therefore, we decided to create a survey on a website called “survey-monkey” which had questions relating to: if the amount of work hours were changed, and how much stress they are feeling on a scale of 1-10 (10 being the highest). Originally our variables were Age, Gender, Stress Level, and if work hours were affected by COVID-19 or not. When our survey closed, we noticed the small number of males had completed our survey; so as a team we decided to eliminate the gender variable and to just focus on the others. The results of the data we collected is shown below (Figure 2A&2B). The chart on the left shows the levels of stress by age. The vertical axis denotes the stress level and the horizontal axis is the age. The level of stress experienced was determined on a scale of 1-10, with 1 being no stress and 10 being severe stress. The stress data has been color coded with blue signifying stress levels of 1-3, orange signifying stress levels of 4-7, and grey signifying stress levels of 8-10. The ages of the participants ranged from 15-55+. The ages have been grouped into ranges with a class width of 10. The groupings are ages 15-24, 25-34, 35-44, 45-54, and 55+. The numbers in white at the top of the color-coded vertical bars denote the number of participants that experienced that particular level of stress. As for the chart on the right, it contains the data of the hours worked by the participants according to age. The vertical axis contains the hours worked data, while that horizontal axis again contains the ages of the participants. The participants were given three choices for the amount of hours they have worked–decreased, increased, stayed the same. Those responses have been color-coded with blue meaning decreased, orange meaning increased, grey meaning stayed the same, and we have used yellow for data left blank. We utilized the same data age ranges for the “Hours Worked by Age” just as the graph titled “Levels of Stress by Age.” So The ages of the participants ranged from 15-55+ which have been grouped into their class widths of 10 with the white numbers representing the number of participants . Additionally, the survey also allowed individuals to anonymously express their stress about the circumstances, and also showed that many others are affected as well. We wanted the survey to remain anonymous because it is very difficult for people to open up and be vulnerable by allowing other people to see what is going on in their lives, especially during a time like this where everyone is in uncharted waters.The population of interest we focused on was our fellow community members which range from neighbors, family, friends, co-workers, patients, students, etc. Our parameter of interest is the sample of our community who has or is being affected by COVID-19REFERENCES: Bernard, Tara Siegel. “Working From Home: How Coronavirus Could Affect the Workplace.” The New York Times, 1 Mar. 2020, www.nytimes.com/2020/03/01/business/coronavirus-working-from-home.html.Coe, Erica Hutchins, and Kana Enomoto. “Returning to Resilience: The Impact of COVID-19 on Mental Health and Substance Use.” McKinsey & Company, www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/returning-to-resilience-the-impact-of-covid-19-on-behavioral-health.“COVID-19 Student Impact Survey.” Georgetown University Initiative on Innovation, Development and Evaluation, gui2de.georgetown.edu/covid-19/.Hess, Abigail. “The U.S. Economy Has Been Hit Hard by the Coronavirus Pandemic-Here’s What It’s like for Job Seekers.” CNBC, 20 Mar. 2020, www.cnbc.com/2020/03/20/how-coronavirus-is-impacting-job-seekers.html.“Interim Guidance for Businesses and Employers to Plan and Respond to Coronavirus Disease 2019 (COVID-19).” Centers for Disease Control and Prevention, 9 Apr. 2020, www.cdc.gov/coronavirus/2019-ncov/community/guidance-business-response.html.“What Are Typical Quantitative Research Questions?” The British Library, 10 Nov. 2016, www.bl.uk/business-and-ip-centre/articles/what-are-typical-quantitative-research-questions.