However, I am still connected with the importance of technology. I work a lot and I am a full time college student so my only outlet most of the time is the internet. I make good use of it. I read a lot.

I stay updated on a lot of business industry’s based on accessibility to my phone. I prefer to read on my phone compared to my laptop.

Tableau was interesting. I remember my love for statistics and remembered society’s disregard for them in general. It was great working with my team and also being able to meet with someone very knowledgeable of statistics and Tableau. Thanks Janet.

I realize that a lot of people are caught off guard by Emory students in general. I had an interaction with the SUNY student I was supposed to interview that was probably just a moment of probability. It was funny because before we communicated he said he could Skype. Then after the classroom Skype session all of a sudden he had no time at all to set up a session.

I didn’t like that because I was so used to dealing with great work partners at Emory. I figured that by this time, a bias had been created in my mind that not everyone has the Emory work quality and aptitude. If you love technology of any form, you have to learn to appreciate people as well.

I’ve read a lot of strategy on how to overcome situational poverty barriers. All of it has to do with who you know. None of it has anything to do with what you learn in a classroom setting.

I can’t even fix my mouth to say that I hope one day professors realize that it’s not about being able to stick your nose in a booger filled book one day. I believe that they just serve a clerical role in a very bubble like industry.

However, Emory is my access to my mobility. I am a independent college student. I put myself through college. I have been placed in a fearful unknown many times but those situations are not enough to make me give up and quit on myself.

If I give up on Emory, I am literally giving up on myself.  I cannot falsely promote an idea that I do not understand the benefit Emory will offer me.

I cannot also falsely promote the idea that my Emory degree will not give me a lot the most unexpected enemies.

In the same way, social media can be more beneficial than harmful. It has served as a protector for me in my life. A lot of women and people in general use social media to document situations that they may not have the chance to discuss in person.

I don’t really believe that oversharing is a thing. I think it’s a way to control people in their forms of expression. People with experiences like mine tend to realize that they have the ability to perform when actually necessary. It’s not out any arrogance or negligence. Just situation circumstance.

I was reading another student’s essay and they seemed to be self deprecating. I could never be like that. I cannot afford to be like that. With that being said, I am proud of my past essay. It shows that I was comfortable tapping into my youth as well as comfortable with understanding how I came to be who I am today and how my mind works.

We also decided to peek inside the major stratification between these two genders. During the career and college search process, whether as a parent or student, there perhaps may be a strongly considered perspective with scope. Payscale actually performed an analysis on gender and major selection. The conclusion determined that women chose majors that led them to a lower salary than the national median average.

According to that same Payscale post, “The percentage of men and women who chose Engineering and Education as their major in response to the American Association of University Women’s (AAUW) study of the gender pay gap. They found Engineering (median pay of $75,000/year) to be male dominated, while Education (median pay of $42,000/year) is dominated by female majors. Therefore, differences in major choice can greatly affect the national pay gap.

In an updated research project, we determined 15 common majors for men, 15 common majors for women and 15 common majors with roughly equal numbers of men and women graduates. Similar to AAUW, we find women tend to major in various Design/Art majors, Education, Nursing, and Public Relations, while men tend to major in Engineering, Finance, Computer Science, and Economics. Majors common to both include Accounting, Journalism, Biology, History, English and Mathematics.”

I’m more of the project manager type so it was great to be able to meet with Katie Rawson one on one in order to figure out how to fix our group’s chart.

Pancakes for the Soul

I really enjoyed working with Kevin. He’s very lighthearted carries that midwest charisma every where he goes. I am happy to have discovered Soul Pancake through Kevin. I think that Rainn Wilson is hilarious. I may be a more “socially acceptable” version of him.  Go figure.

Kevin and I took the bull by the horns by choosing to go first which was great. It allowed us to decide our tone and get comfortable with communications! I was able to discuss the importance of discussing tough issues in close connected communities. It posed as ironic because I ended up communicating with so many of my friends about different situations effecting them. This year was actually pretty bad in terms of what others were going through. But, my year has been pretty composed and has been going well. I figured it would be best to naturally talk about the good and bad without holding anything in. It has worked well in my life.

Soul Pancake is about getting comfortable with touchy topics society doesn’t really allow us to sit down and discuss. I really do mean it when I say that I do not want to be forced and stifled into a lifestyle like the “previous generation” before us. Soul Pancake in relation to the information age is a prime example of how great our levels of communication and expression can be. It’s a benefit that allows more positive psychology. Sure, it can be viewed as a privilege that makes “our generation” weak but sometimes people struggle with unresolved emotions. I don’t plan on being one of those individuals and I have made adamant efforts to have control over my decisions in my life.

I also thought that it was funny for Rainn Wilson to much older than I thought he was.

This image is provided courtesy of 350.org

I enjoyed working on this podcast because I am a part of the environmental awareness and impact community in Atlanta. The funny part about this podcast is the person I was mentioning that referred me to this website is actual the Mercedes Benz Stadium General Manager.

Thank you Daniel for being so helpful! It was great producing with you.

Even with the hundreds of college support organizations and companies advertising their guarantee to get you into the best colleges by hiring ex-admissions officials, alumni, and test-taking experts, it is still one of the most difficult endeavors to pin down exactly what colleges are looking for.

The “holistic” approach to college admission has in equal parts brought joy and confusion to applicants. Applicants are more hopeful now that college admissions does not rely on just empirical data such as gpa or standardized test scores. And for good reason too: a purely mathematical approach to admissions could neither possibly account for the value that a student could bring to a college nor the quality and difficulty of pre-college education. Alternatively, sometimes, it can feel like there is no clear-cut path to studying at the best colleges: it is difficult to tell how much a certain part will affect the application as a whole.

Usually, all we get from the college as applicants is the admissions rate and an questionable college ranking done by third party (or are they?) organizations. And we hold these pieces of information more closely than we might imagine. We take these numbers at face value, and plan our applications around them.

What else can we understand about the university admissions process through statistics? In this particular case, we are focusing on what has generally been considered to be one number: the admissions rate. But what if we decided that there are multiple admissions rate. Surely, the admissions rate of one area can be vastly difference from that of another. If we can find more information through the number that influences students so much in their college decisions, perhaps we can begin to understand more deeply, the nature of how the college education system functions.

The idea here is to find a distribution of percentile differences for a specific county to the overall admissions rate. Once that statistic is clear, we are then able to dig deeper into the socio-economic status of a particular area to determine whether the admissions process favors one group of individuals over another.

We can break this down in more detail. For example, we know already that the admissions rate for Emory undergraduate is 25.2% in 2016 (gotten through a simple google search). This number by itself is quite meaningless to us because it encompasses an application pool with applicants from all over the world. It would be too difficult to break up the applicant pool from every part of the world: without a consistent scale on which to compare the socioeconomic status of one region with another, the resulting data would be vastly skewed. Instead, the project would be much more manageable if concentrated our focus to a specific area. We chose to look at several counties that are within the greater Atlanta area that are known to have differences in economic status. For example, Buckhead has a noticeably higher wealth than College Park, one of the poorest areas around Atlanta. For these two areas, we would find the acceptance rate into Emory from the number of people who applied from a permanent address in these two areas.

The final part would be to compile the acceptance rates from all of the areas that we chose to look at. Separately, the average general acceptance rate for Emory and the acceptance rate for a specific area may not reveal much. But when we look closely at the difference in percentages, the statistics become meaningful. If, let’s say, the acceptance rate from the Buckhead area is much higher than 25.2%, then there might be an association between being wealthy and having a greater chance of acceptance into Emory. This would show that Emory favors this particular wealthy area for potential students. However, if the reverse was true, and Emory had a much higher acceptance rate in College Park, then it may suggest that Emory is trying to pull in students from lower economic classes.

Conclusions from this form of data analysis are not easy to form. There are potentially thousands of variables that could shape the admission’s decision of one individual. The dangers of making broad, sweeping conclusions include not giving enough credit to the consistency and sanctity of the admissions process, which takes into account student attributes that may not be easily translated into pure numbers. The benefit of this kind of analysis is that it gives us a general trend to work with. Unequal opportunities in education is a long term issue that requires long term, fundamental solutions. Understanding the admissions process can be imperative to creating such a solution.

The idea here is to find a distribution of percentile differences for a specific county to the overall admissions rate. Once that statistic is clear, we are then able to dig deeper into the socio-economic status of a particular area to determine whether the admissions process favors one group of individuals over another.

We can break this down in more detail. For example, we know already that the admissions rate for Emory undergraduate is 25.2% in 2016 (gotten through a simple google search). This number by itself is quite meaningless to us because it encompasses an application pool with applicants from all over the world. It would be too difficult to break up the applicant pool from every part of the world: without a consistent scale on which to compare the socioeconomic status of one region with another, the resulting data would be vastly skewed. Instead, the project would be much more manageable if concentrated our focus to a specific area. We chose to look at several counties that are within the greater Atlanta area that are known to have differences in economic status. For example, Buckhead has a noticeably higher wealth than College Park, one of the poorest areas around Atlanta. For these two areas, we would find the acceptance rate into Emory from the number of people who applied from a permanent address in these two areas.

The final part would be to compile the acceptance rates from all of the areas that we chose to look at. Separately, the average general acceptance rate for Emory and the acceptance rate for a specific area may not reveal much. But when we look closely at the difference in percentages, the statistics become meaningful. If, let’s say, the acceptance rate from the Buckhead area is much higher than 25.2%, then there might be an association between being wealthy and having a greater chance of acceptance into Emory. This would show that Emory favors this particular wealthy area for potential students. However, if the reverse was true, and Emory had a much higher acceptance rate in College Park, then it may suggest that Emory is trying to pull in students from lower economic classes.

Conclusions from this form of data analysis are not easy to form. There are potentially thousands of variables that could shape the admission’s decision of one individual. The dangers of making broad, sweeping conclusions include not giving enough credit to the consistency and sanctity of the admissions process, which takes into account student attributes that may not be easily translated into pure numbers. The benefit of this kind of analysis is that it gives us a general trend to work with. Unequal opportunities in education is a long term issue that requires long term, fundamental solutions. Understanding the admissions process can be imperative to creating such a solution.