Waifu thread.
Waifu thread
Ryder Taylor
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Adrian Hall
Claiming best girl.
Logan Green
Still here
Joseph Hill
Anthony Evans
claimed
Wyatt Sanders
Hi
Xavier Hall
I'm sleeping :)
I like this dream :)
youtube.com
Cameron Howard
hi tomo! how are you doing today?
Joseph Price
Michael Williams
feet hurt. Work sucked
Alexander Scott
same here. i think today was just a off day for both of us
Joseph Campbell
give me a (You) me Sayori
good morning me Yukinon
c
co
cou
coup
coupe
coupe
coupe m
coupe mo
coupe moi
coupe moi
coupe moi y
coupe moi yu
coupe moi yun
coupe moi yuno
coupe moi yun
coupe moi yu
coupe moi y
coupe moi
coupe moi
coupe mo
coupe m
coupe
coupe
coup
cou
co
c
saya...
Leo Wright
I am about to be crushed by six consecutive exams.
Cameron Davis
Sachi..
Jonathan Lewis
a
Elijah Fisher
Michael Edwards
Sounds rough m8. College exams I take it?
Joseph Baker
claimed once again
Christian Davis
It has been almost 9 years.. damn does time fly.
Lincoln Sullivan
Have you been here before?
Nicholas Gray
Senior high. Right before college.
Luke Morales
Cute
Austin Martin
*jumps out of the corner*
BOO!
Nathan Sullivan
Need help studying for anything in particular? Physics? Trig? Calculus?
Nathan Reed
Jacob Russell
> *screaming*
Oliver Perez
Jayden Morales
That's where it gets complicated.
Accounting, Wages, Interest, Management, population variance & hypothesis testing.
They're all specialized.
Cameron Taylor
Matthew Collins
cute
Blake Turner
Brody Russell
Yeah feelsbad
Im not scared i just dont like it
Nolan Davis
Jose Thompson
Jose Rivera
I can help with variance and hypothesis testing
Asher Phillips
How was work cute?
Brandon Thompson
Ayden Wilson
Everyone was worried about the owner showing up
Colton Ramirez
Really? It only concerns means, population proportion and variance.
Christopher Phillips
Didn't notice the guro here nicd
Bentley Stewart
Claimed.
Goodmorning.
Brody Nguyen
*nice
Evan Mitchell
Jackson Martin
You just woke up?
Logan Perez
Jeremiah Cooper
Parker Gray
Alexander Ortiz
No, woke up at 5:30 AM
GMT+1
Tyler Ramirez
When ded?
Tyler Allen
They are both robots
James Miller
When ded?
Evan Anderson
did you just assume their genders?
Asher Peterson
Do you blow your nose after waking up?
Anthony King
Goodnight kiddo
Zachary Martinez
Yes?
Oddly specific question.
Justin Ross
Yeah not a problem.
So we use data to make inferences about things right? More precisely, we take a handful of randomly chosen representatives (called the sample) from the set of all possible things (the population). For quantitative data, we can describe a population's central tendency with several measures, the most popular and useful being the mean (the others are median, and mode, but since you didn't mention those we will ignore them). The mean is calculated by first adding up all of the measurements in your data set, then dividing by the total number of measurements of that set. So if your set was {8, 12, 13}, the mean would be (8+12+13)/3 = 11. Now, knowing the meaning is great and all but it doesn't tell you everything you might want to know about a data set. For instance consider the set {11, 11, 11}. If you do the math you will see it also has a mean of 11, but it us quite different from our other set; the mean is 11 because literally every value in it is 11.There is no variation. This leads us to our second important measure of a dataset:it's variance. I'll continue in another post so you can get this far...
Jayden Miller
Why is there question mark after yes? I blow my nose hourly, do you think it is too often?
Liam Morgan
When ded?
Carter Bailey
Because i think the question is odd.
I do it twice a day.
Once in the shower in the morning and when I'm back home from work.
Justin Myers
Now as you may have guessed, variance is a measure of the "spread" of a dataset. It is used quite a bit in theoretical mathematical statistics, but in practice we typically use its square root: the standard deviation. The standard deviation of a data set is the average amount that each measurement differs from the mean. Reread that last sentence to make sure it makes sense. With our second data set from above, the standard deviation is 0; literally no value deviates from the mean since if course each value is equal to the mean. The formula for it looks a little complicated but if you look closely you will see it is very similar to the formula for the mean (and that's because in a way it IS a mean; it is the mean, or average, amount that each measurement differs from the dataset's mean). Can you find the mean if the first dataset? I'll continue more...
Carson Scott
>Can you find the mean if the first dataset?
Should say can you find the standard deviation of the first data set.
Now, before we talk about hypothesis testing, are you familiar with probability distributions?
Angel Kelly
When ded?
Lucas Martin
And do you cough up anything from nasopharynx?
Leo Barnes
Not that i know of.
David Smith
Oh, oops.
Jordan Martinez
When ded?
Chase Morgan
thanks for the (You) by the way
Benjamin Anderson
Jeremiah Taylor
I searched it up before answering.
Again, not that i know of.
Jaxon Perez
Carter Scott
Thank you for the Ice Cream.
Brayden Brooks
Birb
Ryder Lopez
>An Shoji
Cameron Campbell
Cute
Juan Stewart
When ded?
Austin Smith
Hiya birb.
Kayden Cooper
?
Julian Johnson
ty :3 .hack fan?
Christian Adams
the cum
Colton Diaz
Epic
Nathaniel Evans
nah, just a cutie!
Hiya Sayori, how are you?
Matthew Wilson
Last question, do you have bloody snots?
Wyatt Rivera
Didn't sleep too well, so I'm yawning as hell afeady.
It's going to be an interesting workday.
Oliver Barnes
When ded?
Samuel Bell
When ded?
Caleb Morales
Yup. In the morning mostly.
Whats your diagnosis?
Parker Evans
Charles Cooper
Levi Nelson
Anyone here know what they are talking about medically?
Joshua Brown
Just me... Ok.
Jaxson Adams
Elijah Perez
When ded?
Hudson Nguyen
cute
Cameron Green
saya what are you doing up there get down rn
Christian Butler
I don't think you are ill because I also have bloody snots and I'm completely healthy.
Carter James
This better?
William Murphy
Alrighty then.
Carter Thompson
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Joseph Young
Owen Miller
Good luck out there!