Recent comments in /f/dataisbeautiful

GeorgeDaGreat123 OP t1_j1qe86p wrote

Unfortunately (or fortunately), the mean. median. and mode of those who were admitted into my program was 97-98% because the program's so competitive.

That would be an interesting statistic to compare in another less competitive program where marks may be more varied though — like business or the sciences.

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GeorgeDaGreat123 OP t1_j1qdtzd wrote

The fact that there were only students with high school averages in the 90s is because the software engineering program at my university is incredibly competitive.

At a 93% average, you have a 5% probability of admission.

The mean, median, and mode of all high school averages of those admiited into the program was between 97 and 98%. This statistic includes everyone as it was released by university admissions themself.

Since the surveyed mean above is also in the range of 97-98%, and 80% of people responded, I don't think that type of bias should be an issue.

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CrushgrooveSC t1_j1qcdlu wrote

Thanks for the reply, and for responding so considerately to criticism! I think it’s a worthwhile data gathering activity, and personally would be very interested in more detailed, scientific, controlled and correlated data in this area, and I think there is LOTS of room in the domain for real research if you were thinking of doing it more.

Unfortunately, almost all data I’ve seen on this domain has very similar oversight or gaps and it makes it difficult to create actionable policy or even opinions without further research.

I wish you and your university well!

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ShinjukuAce t1_j1qc3wi wrote

Good graph, but metro by metro would be a better indicator. Statewide housing prices don’t tell you a lot - New York state for example varies hugely by neighborhoods within New York City versus different suburbs versus rural areas versus other cities like Buffalo.

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GeorgeDaGreat123 OP t1_j1qbvls wrote

The ratio of men to women was roughly 3:2

I've provided the mean and the std deviation at the top of the chart for each number by gender, so you don't have to rely solely on the graph which as you mention may have a few flaws.

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jnemesh t1_j1qbo1m wrote

  1. a lot of the army isn't getting paid, and they aren't happy about it
  2. it really doesn't matter how many men you throw into combat if you don't have weapons or even warm clothes for them...or food.
  3. the death toll is horrific, and the Russians know it.

I don't expect this to end well for the Russians.

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GeorgeDaGreat123 OP t1_j1qbjpw wrote

Thank you for the comment. I agree "confidence level" would have been a better way of wording it than "imposter syndrome".

The reason I used that word is just because it's the word our university faculty and professors chose to use to describe "confidence level".

Our admissions into our university faculty is extremely competitive in Canada, even surpassing a few American schools, and they see a wave of incoming freshman slowly lose their hope and confidence in themself, so professors often give speeches about "imposter syndrome".

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Lycoris1313 t1_j1qb5cl wrote

I agree with there being a skew or bias based off the gender-split of the degree and the degree itself. Though I'd be curious to know when this poll was completed -- before freshman year started, 1 week in, 1 month in, etc.
When I was in undergrad, I was studying engineering where only 15% were women. Very quickly in my freshman year I realized that I was constantly put down and criticized by my male classmates for any little mistake or mishap - I had to report 4 men within my semester for sexual harassment and harassment in general. It was a huge blow to my self-confidence and certainly made me question my own abilities and suitability for the degree.
It would be interesting to see what the numbers would look like if this was polled during or before orientation week vs. 1/6/12 months vs. graduation week of senior year.

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GeorgeDaGreat123 OP t1_j1qa6k2 wrote

The 2 questions were worded similar to my comment above:

Please provide your high school average (to 1 decimal place)

Rate your imposter syndrome! 0 = I was bred for this program 10 = I think the admissions committee got my application mixed up with someone else's

You make a fair point in the last bit. This survey was sent out at the very beginning of the term, before any university curriculum was taught, so the conclusion still holds — but the reason for that could be that women in software engineering generally enter university with less coding experience than men in thr same situation. Anyways, sounds interesting, I might dig through the data and make another graph later.

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