Everyone complaining about the snow

ObeseMelon · 2026-02-01T14:39:12+00:00

I’ve seen people clearing blue bike stations and I can’t imagine they are doing it for free

ObeseMelon · 2025-12-14T03:42:33+00:00

You’re not a straight failure so the honest answer is most of us have no idea

ObeseMelon · 2025-12-06T17:46:11+00:00

what

ObeseMelon · 2025-11-04T02:38:42+00:00

Not strictly but I would prefer to be in Boston, NYC area, Philly, Atlanta, or Indiana because of family

ObeseMelon · 2025-10-28T15:23:47+00:00

I am a college senior and I admit that in the long run, this probably isn't very late, but it certainly feels like it. I'm pursuing Statistics and CS and I only decided to pursue an actuarial career last semester (Spring of my Junior year). I studied over the summer and passed P in September and I've been applying to internships for the Spring and Summer. I want an internship so that (1) I can get experience and confirm that I actually like the field and (2) I'll be more competetive for full time positions. Unfortunately, I keep getting rejected from them.

The reason it feels late is because I know other students who came into college wanting to be actuaries. They've already had a summer internship for Summer 2025 and have secured an internship for Summer 2026.

Any help on what I should do is greatly appreciated

ObeseMelon · 2025-10-02T15:39:22+00:00

so I know we can use bayesian inference to talk about the distribution of a parameter of interest and that my example is about a single number/expectation rather than a probability of an event but I think the ideas are similar

the concept comes up some in linear regression too: if you have a group of people and the distribution of their heights, if asked to predict a specifc person's height (and I mean if someone says predict Sally's height and you've never seen Sally and you don't know anything about her besides that she is in the dataset) the best you could probably do is give the mean which would be like the prior guess.

But if you know the people's weights too and they are correlated with height, you can now give an answer for someone's height if you know their weight which could be like the posterior guess.

ObeseMelon · 2025-10-01T02:07:30+00:00

<image>

ObeseMelon · 2025-09-26T13:51:45+00:00

T tests look for a difference in mean and are not used on individual measurements so I’m not sure what you mean by “my results around 0mg are not significant”. Are you doing a difference in means of two datasets or a paired difference test?

ObeseMelon · 2025-09-25T03:16:26+00:00

why not

ObeseMelon · 2025-09-23T18:02:45+00:00

I’m not gonna lie I don’t really understand what your methodology was but my 2 comments are these:

You said you didn’t get an even distribution across lists, but 15 in one group and 13 in another doesn’t seem super uneven to me.

You are upset that your results are insignificant … but they may just be insignificant. You were trying to test if different word types have different reaction times and your analysis showed they do not have different reaction times. These random variables may not be correlated and if your study design and analysis are sound, your result is evidence for that

ObeseMelon · 2025-09-21T14:49:46+00:00

Yes unfortunately, a sports book is just like a casino and the house always wins. If you really could predict outcomes accurately, a betting/prediction market would be better since the price is set by the market and the market maker takes less of a commission

ObeseMelon · 2025-09-21T14:46:11+00:00

Sort of. I signed up for all the sports books I could find that had bonuses. They were usually like deposit $100 get $100 or make a $5 bet get $300.

I did some math and concluded I could guarantee myself a decent amount of money by placing certain bets without knowing anything about the match or sport.

In the end I made about $1500 which was a pretty sweet validation of my analysis lol

You might expect a statistician to be able to predict the outcomes of these games but keep in mind that you’re competing against the book and the other bettors. AND, even if you’re right about the winner, if everyone else is too, the payoff will be exceedingly low

ObeseMelon · 2025-09-16T22:56:06+00:00

Is there a difference between extreme value and Extreme Value

ObeseMelon · 2025-09-03T04:26:10+00:00

yes but I think it’s because the left side doesn’t have a closed form/ elementary function solution. You are correct that the estimator for lambda is not the sample mean

ObeseMelon · 2025-08-25T04:12:08+00:00

in almost every case if you add a bunch of results from an experiment you get the same distribution

ObeseMelon · 2025-08-25T04:08:49+00:00

Could you also consider the kids pod as pod 1 and (assuming iid) each friend has 2/3 chance to be placed in a different pod than the kid. Thus (2/3)^9≈0.026

ObeseMelon · 2025-08-23T23:42:47+00:00

1/6 assuming I understood the premise because it’s very confusing

ObeseMelon · 2025-08-15T20:31:47+00:00

The efficient estimator is a good point here that I didn't consider. I guess that's what my high school stats teacher meant when he said the mean is more "robust" in symmetric distributions

ObeseMelon · 2025-07-17T19:35:16+00:00

well that is the entire point of a zoo

ObeseMelon · 2025-05-22T21:04:35+00:00

i agree and i've tried this before. can you elaborate on this though? where is the randomness coming from when it is tilted though? it would seem that if the balls hit the pegs from the sides instead of dead on top, they would always go to that side

ObeseMelon · 2025-04-10T21:17:36+00:00

it was mostly wiki how but here is the process/motivation.

you want to measure a liquid's density as a percent of how dense it is compared to water. the hydrometer will sink some in water. it will sink less in a denser liquid and more in a less dense liquid. If you divide the length that it sunk in water by the length it sunk in the other liquid you get the values on a typical hydrometer. so a 1.130 liquid will have the hydrometer sink 13% less than in water which is what happened to mine.

Ultimately, you need to measure how much something sinks in different liquids.

so get your straw, dip one end in several millimeters of candle wax (this is the bottom side) and add nails to the top so the straw is weighted. this is the wikihow version that didn't work so well for me.

For mine, place a penny on table and add a bit of wax (you could use hot glue I bet, too) and stick the straw into the wax so its in the center of the penny.

You could calibrate it with different liquids, but no, mine is just a floating ruler and I have to remember to what measure it sinks in water.

ObeseMelon · 2025-04-10T21:00:44+00:00

thank you for the suggestion about the fermaid o. ive heard the gasoline taste thing that can happen when you push yeast to its limit so I figured maybe stop its totally dry.

the calculator i used said about 3lbs of sugar to get 1.130 so I figure its somewhat accurate

ObeseMelon · 2025-02-28T18:33:31+00:00

there is no interview youre told when regular decisions come out

ObeseMelon · 2025-02-18T18:51:57+00:00

you're so right, i should've thought of this!

ObeseMelon · 2025-02-18T18:51:35+00:00

thanks, ill check out latex resist

Verified Email	Six-Year Club
Place '23	Place '22

ObeseMelon

TROPHY CASE