M2

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University of South Florida *

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3246

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English

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Jun 4, 2024

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pdf

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2

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Blake McFarlane M2.1 Exercise: Working with/Analyzing Data Which scenario did you pick and why? I chose scenario 1 because it had the most amount of data to work with. What type of information is listed in the columns and rows? For scenario 1, there are four different tables consisting of metrics by degree. The tables either have the date for rows with the number of degrees being in the columns section or vice versa. What units or metrics are used for the columns and rows? Relating to the date, the values are just represented in a date format. As for the students who graduated each year, they are just integer values. Describe the data being presented in a few sentences. The data being presented shows the rise in popularity for engineering degrees. There are a few tables and each table highlights different aspects contributing to engineering degrees becoming more popular. One table does this by comparing the number of graduates between Males and Females in each major while another table does this by comparing the average salaries of jobs relating to certain degrees. What information jumps out at you as significant? List at least three insights you have? 1. Engineering is becoming more appealing to females. 2. People who major in engineering tend to earn more money than other degrees. 3. Engineering as a whole is outpacing many other degrees. If you told a friend that you looked at this data today, what would you tell them you learned from the data? If I told a friend about the data I viewed today I would tell them that Engineering is a great field for those who are focused on earning a lot of money in the future. I would also tell my friends that the gender gap is shrinking although Engineering is still a male dominated industry. Who is the intended audience? My intended audience is Freshman as well as older transfer students. They both have the opportunity of choosing to major in an engineering related degree. The argument that I would like to make is that engineering is a promising field with a good career outlook. I would like to show that engineering is more inclusive that what it used to be and that those choosing to major in an engineering degree will have a lot to look forward to. The three data points that will help me make my point are listed below. 1. Engineering majors are becoming more prevalent and many are realizing the opportunity. 2. Engineering is a more inclusive field than it was decades ago and you’re less likely to feel like an outcast majoring in an engineering degree. 3. Engineering majors tend to earn more money than those who major in something else.
Blake McFarlane M2.1 Exercise: Working with/Analyzing Data Describe the ways in which the data points you have chosen are important to the audience. The data points I have chosen are important to my audience for an array of reasons. College is a big investment and those deciding to go to college should choose to study something that has a promising future. I also think that most people care about their finances and the fact that engineers earn more than other careers is very attractive. Do you think that the data points you have chosen will support the main point you’re trying to make for the audience you have identified? Why or why not? Yes, I think that the data points I have chosen and listed will support the main point I am trying to make in my report. The point that I am trying to make is that engineering is a good degree to major in and I think that the points I have chosen are all good reasons to choose engineering as a field to study.
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