Discuss who you believe generated the data. Do you think it is credible
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Week 2 – Discussion Forum 1
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Interpretation of Quantitative Distributions Peer Feedback [WLOs: 1, 2, 6] [CLO: 3]
Prior to beginning work on this discussion forum, read Chapters 3 and 4 of your textbook. Find a quantitative variable and an associated graph that depicts a demographic about the United States. This can be any topic of your choosing. Government data, business publications, and corporations’ websites are good sources of information. You may want to begin your search using one of the following resources:
United States Census Bureau (Links to an external site.)United Sates Census Bureau’s Library: Infographics & Visualizations (Links to an external site.)S. Department of Commerce, Bureau of Economic Analysis (Links to an external site.)S. Small Business Administration’s Office of Entrepreneurship Education | Resources (Links to an external site.)In your post,
Post the URL and the distribution graph from the website.
Discuss who you believe generated the data. Do you think it is credible?
Discuss what the graph reveals about the variable.
Explain any unusual aspects, as well as the shape, center, and spread of the distribution.
Discuss your own interpretation of the distribution.
Guided Response: Your initial response should be a minimum of 300 words in length. Respond to at least two of your classmates by commenting on their posts. In your response, provide your own interpretation of their distribution graph. Note any differences between your classmate’s interpretation and your own. Though two replies are the basic expectation for class discussions, for deeper engagement and learning you are encouraged to provide responses to any comments or questions others have given to you. Continuing to engage with peers and the instructor will further the conversation and provide you with opportunities to demonstrate your content expertise, critical thinking, and real-world experiences with the discussion topics.
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Reply to Week 2 – Discussion Forum 1
Rebecca Cline
Yesterday
Mar 16 at 12:09pmhttps://www.census.gov/library/visualizations/2021/comm/womens-earnings.html
The data was generated by the US Census Bureau. More specifically, the information was provided through the 2019 American Community Survey. “The American Community Survey (ACS) helps local officials, community leaders, and businesses understand the changes taking place in their communities. It is the premier source for detailed population and housing information about our nation” (US Census Bureau, 2021). The ACS is sent to approximately 3.5 million per year and us the largest household survey that is administered by the Census Bureau. The information is based off of self-reporting from the individuals who took the survey. Although the information should be fairly reliable, there is still a percentage that got the survey, but did not complete. This could be for several reasons. One thing that pops in my mind is for those who are illiterate who would likely be on the lower end of the pay scale likely did not complete the survey if they received it, which would skew the results.
The graph reveals that as of 2019, women were still paid less than man in all areas that were surveyed. There are some industries, such as pharmacy technicians and graphic designers where the spread of income is much closer, but there is still a variation based on sex.
Women make up roughly forty per cent of all occupations. In all occupations, women make roughly ten thousand dollars less than men per year. There are some outliers that show that the data could be skewed. Judges and other judicial workers, as well as financial managers both have a large variation in payment that lead to the data being questioned. Median household income for women is roughly $41,000, while for men, the median income is closer to $55,000. The range d of women’s income is from $20,000 to $120,000.The lumping of occupations makes the chart harder to interpret. One category is Judges and other Judicial workers. Without being able to dig down and see the percentages of women and men in each role, it is hard to tell if there are less women in high paying jobs leading to the difference in income of if it is due to women truly being paid less.
Resources:
US Census Bureau. (2021, March 11). American community SURVEY (ACS). Retrieved March 16, 2021, from https://www.census.gov/programs-surveys/acsUS Census Bureau. (2021, March 02). Women\\\’s earnings. Retrieved March 16, 2021, from https://www.census.gov/library/visualizations/2021/comm/womens-earnings.html
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