writing paper - Mathematics
PurposeUnderstanding the relationship of the population and samples you work with when using a statistical approach is key to being able to frame how to address a problem with these tools. Being able to clearly describe this relationship when you are talking to others about any statistical analysis you do is key to persuading them that what you are doing is reliable. Remember this idea, it will be the starting point for assignment 3.1. In this assignment, you will apply statistical concepts to identify and critically examine the use of statistics in a pandemic news article, report, or research presentation. This will enable you to solidify your understanding of the foundational concepts presented in this chapter, that are crucial to the work in the rest of the semester. You will do this by initiating an ability to critically assess the use of statistics by others.Assignment PreparationReview the key concepts in Chapter 1 (in blue font in the text, the things other than article citations) - I have resources that you can link to from the Communication Instructors Resources for Understanding Probability and Statistics page, that can be helpful in understanding the key concepts before getting into the numbers and calculations. Review Coronavirus statistics: What can we trust and what should we ignore? (Links to an external site.)by Sylvia Richardson, Director MRC Biostatistics Unit, president-elect of the Ryan Statistical Society; and David Speigelhalter, Chairman Winton Centre for Risk and Evidence Communication, published in The Guardian. This article will provide you some ideas on how statistics are presented, sometimes ineffectively, around the Coronavirus Pandemic. Assignment Requirements - Part A While the primary purpose of this assignment is for you to think about and work with statistical concepts, it is important after you complete your writing that you take the time to review and edit it for coherence, completeness, and grammar. You will be looking at each others work as a resource for your final two writing assignments. Using a grammar and spelling program such as Grammarly is highly recommended, as excessive grammar errors and incoherent writing will lower your grade. Assignment For this assignment document complete the assignment in the order presented below and organize the document to look like the CA 2.1 ExemplarFind an article about the pandemic that uses statistical analysis as part of the story. The article must be from a reputable source and in English. You must also be able to identify the data and method used for the statistical analysis either within the article or through links or citations you can follow to the original analysis. You will then complete the following four steps of review and critique of the statistics in the article.Provide general information on the article and the source of the data and statistics being used, includingTitle of the article,Author(s),Where it was published (name of publication andPublication URL Source of the statistical analysisSource for the data collection URL for detail on the data URL for any additional data sources used.Claim(s) the article is making with the data and statistics Identify the following key elements of statistics presented: Is the article presenting/discussing descriptive or inferential statistics or both? How do you know the answer to this?Is the article using univariate, and/or multivariate data? Provide examples to support your answer with any explanation needed.Is the data used categorical or numerical data? Explain how you know the answer. The sample size The sampling method/approach The population size, and how it was determined and framedAfter looking at the data and statistics in more detail name at least 5 concerns or strengths you think the data and statistics have Submitting the Assignment Submit the assignment as a Word doc or pdf. Upload it to the assignment on or before the due date. Your assignment to a discussion board is submitted by uploading it into the reply bar at the bottom of the assignment text.
ca2.1_exemplar.docx
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CA2.1 Chapter 1 Terms Applied to A Published Story with Data
Article: Poll: 38\% of College Student Lost Work Because of Coronavirus
Author: Jack Brewster
Published in/by: Forbes
URL: https://www.forbes.com/sites/jackbrewster/2020/04/15/poll-38-of-college-students-lostwork-because-of-coronavirus/#50fe0e9b5ec9
Source of the statistical analysis: College Reaction/Axios
Data collected by: College Reaction/Axios
Study Summary: https://collegereaction.com/posts/most-student-jobs-have-been-canceleddelayed-or-digitized-by-coronavirus
Study Detail https://www.scribd.com/document/456474196/College-Reaction-COVID-19Report-2#download
Other data sources referenced: Enrollment and Employees in Postsecondary Institutions, Fall
205; and Financial Statistics and Academic Libraries, Fiscal Year 2015, National Center for
Education Statistics.
Undergraduate student numbers source: https://nces.ed.gov/pubs2017/2017024.pdf
Claim(s) the article is making: The coronavirus outbreak is impacting 75\% of college students
work plans in at least one of the three ways: lost jobs, delayed job start, or move of their jobs to
being remote. This situation is resulting in college students to expressing concern about the
economy.
• Learning is impacted, with most college students not finding distance learning effective.
However only a small fraction would not return to school.
• Stress is increased and social isolation is raising concerns.
• There is a racial discrepancy in who is getting summer jobs, with Asian the majority of
Asian students having jobs, followed by white and Hispanic students. Black students
were the least likely to have summer jobs, however even they were over 50\%.
Statistics Used:
Descriptive or Inferential Statistics: This study presents differential statistics. They do
not present the numbers from their sample, but rather extrapolate their finding out to the
population of U.S. college students. All of the inferences presented are for the entire
population of American college students.
Univariate or multivariate data: The parameters presented on the population in both the
original article and the presentation of the data and analysis are both univariate and
bivariate. An example of the Univariate data presented is “90\% of students are worried
about the impact of the coronavirus outbreak on the job market” (College Reaction, 2020,
p. 3). An example of the multivariate data presented is, “[p]rograms for 73\% of
student[s] who already had internship or post-graduation work arrangements have either
been canceled or moved to remote work” (College Reaction, 2020, p. 3). To get to this
number it is first necessary to separate students who had obtained internship or post
graduate work from those without. Then within the set of those who had these
opportunities they looked at who’s opportunities were either a) canceled or b) moved to
remote work.
Categorical or numerical data: The data in this study is categorical when you examine
how the questions are asked.
Qualitative or Quantitative data: The recording of information is only numbers
responding to each category making the data quantitative.
Sample Size: 822
Sampling Approach: The data collected was designed to be “the most accurate
randomized sample of students at each college” (College Reaction, 2020, p. 6, my
emphasis), and is “weighted by geographic region” (College Reaction, 2020, p. 6),
gender and race (College Reaction, 2020, p. 7).
Population: 17,448,545 The “population” number used is based on the fall 2015 fall
college enrollment numbers for Title IV institutions (those getting federal dollars) from
the National Center for Educational Statistics.
My thoughts on what I am looking at
• The population number that was used appears to be one year behind the most currently
available data from the source they are using for it.
• The population is NOT all undergraduate college students but all undergraduate students
at federally funded institutions.
• A sample of 882 students from a population of 17,448,545 is 0.5\% of the population.
• The study and presentation of the data identifies some demographic differences found
among the college student population that were identified as needing to be represented in
the sample set.
• There is no description of how the sample was randomized, when you start thinking of
the various categories they are discussing, it seems likely that some of the categories are
based on very few students, so I suspect that a change in answers of a few students could
have made a big difference in what they said.
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