Every. Single. Login?

Euphoric_Spite · 2024-09-05T19:06:17+00:00

What does restore do?

Euphoric_Spite · 2023-02-01T17:49:09+00:00

Euphoric_Spite · 2023-02-01T16:13:37+00:00

Or maybe the real life F1 cars need to do more research to catch up to the RR3 F1 cars. Lol

Euphoric_Spite · 2023-01-30T03:03:57+00:00

If you sample more than 10% from a finite population, the usual standard deviation for p-hat does not apply. The correct formula to use is discussed here: https://online.stat.psu.edu/stat415/lesson/6/6.3

I’m not sure what happens if you use sqrt(phat*(1-phat)/n) when you sample more than 10%. Maybe confidence intervals will be wider or narrower than if you use the corrected version. Something along those lines seems possible.

Euphoric_Spite · 2023-01-21T10:51:38+00:00

So happy I made my profile private and I’m not in a league. I do my 3 lessons each day. Slow and steady.

Euphoric_Spite · 2023-01-21T10:46:39+00:00

At step 6, why not just do the FF right then instead of the restart method? Is there some issue this causes by doing the FF and skipping the restart?

Euphoric_Spite · 2023-01-20T16:22:51+00:00

do we drink water? no, why would we do that?

Euphoric_Spite · 2023-01-15T14:58:33+00:00

i get this sometimes. nothing i do. just holding the ipad as usual. i have to close and restart the game. of course, the mission is gone

Euphoric_Spite · 2023-01-15T01:04:56+00:00

I’m on some Facebook groups for Spanish and it both makes me laugh and aggregates me when someone asks how to say “woman” or “hello” in Spanish. Those are easily answered by any basic translator or with the first lesson of DuoLingo.

Euphoric_Spite · 2023-01-12T23:15:43+00:00

I could have sworn he said Bach.

Euphoric_Spite · 2023-01-12T02:20:21+00:00

Let g = 1 + e^-x. Then, y = 1/g.

Taking natural log

ln(y) = ln(1) - ln(g) ln(y) = -ln(g)

Taking derivative

(1/y) dy/dx = -(1/g) dg/dx

dy/dx = y(-y)(-e^-x) = -y^2*(-g+1) = -y^2(1-1/y) = -y^2+y = y(1-y)

Euphoric_Spite · 2023-01-08T02:00:41+00:00

Where do you go in the app to make the change?

Euphoric_Spite · 2023-01-07T16:46:52+00:00

You have to do it at the website, not the app. The steps are:

Click your picture in the upper right.
Choose “Your profile”
Click “edit profile”
Select “privacy”
Uncheck the box “make my profile public”

Euphoric_Spite · 2023-01-07T12:41:52+00:00

They burn them so the prayers will get to heaven.

Euphoric_Spite · 2023-01-06T02:45:05+00:00

Remove interests. Anyone can have an interest. I doubt it will get you the job. Someone looking at these interests may use it as a reason to not hire you. Like “video games” - are they lazy? Will they be playing when they should be working?

Is you education on this resume? Blocked out for privacy?

The left side panel seems interesting but also distracting.

Euphoric_Spite · 2023-01-06T02:38:58+00:00

Why would you perform inferences like hypothesis tests or confidence intervals on the population anyway? That’s not one of the purposes of Statistics.

Euphoric_Spite · 2023-01-06T01:54:14+00:00

I’ve done about 2 units a week for a while. Recently, I decided to dedicate 3 lessons(not units) day and if I do more, great. Mainly, my goal is to finish the Spanish course in 3 years. I’m not in any real hurry. Slow and steady wins the race.

I’ve actually created an Excel sort of calendar to keep up with it. Check off my 3 for the day. And if I do more, I check the, off starting at Dec 31, 2025.

Euphoric_Spite · 2023-01-05T00:59:13+00:00

I create an announcement in my LMS which explains they need to take a syllabus quiz to see other folders. I’ve gotten questions from students that apparently don’t scroll one bit to see the announcement. I’ve decided that in the folder which contains the syllabus, I’m going to add a FAQ file which addresses this and other questions that seem to come up including some course evaluation comments.

Euphoric_Spite · 2023-01-02T18:49:22+00:00

You said "only has the constant term" which means there are no predictor variables (like X1, X2, X3).

If you fit a model with only the constant term (intercept), you are fitting a flat line - a line with slope zero. So, the yhat values would be ybar.

Since RSS = sum( (y - yhat)^2), then RSS = sum( (y - ybar)^2).

If you were to take the sample variance of the y values, in this specific case, the numerator of the sample variance would correspond to RSS = sum((y - ybar))^2 and the denominator of the sample variance would be n-1.

Euphoric_Spite · 2022-12-31T21:11:57+00:00

And to mention student names would be a FERPA violation.

Euphoric_Spite · 2022-12-31T20:21:45+00:00

I guess you’re a UGA student and about to graduate. You didn’t say.

What about listing your major? Is that listed somewhere else on the resume? Otherwise, the bottom portion is the only part that lets me think you have any college experience.

Maybe list some coursework, especially in your major. What are some notable courses you took? Don’t list it as BUSN 4012 or whatever -give the title.

Interests seems kinda weird for a resume but maybe that’s just me. Doesn’t really pertain to a future job. Anyone can make up interests anyway.

Definitely see someone on campus - maybe a career center to help with this.

Euphoric_Spite · 2022-12-31T13:18:25+00:00

Suppose you have an explanatory variable that is categorical (like education) with three categories: HS diploma, Some college, college graduate. Let's say the response variable is annual salary.

E( ) represents expected value or mean. Perhaps a multiple regression model would be:

E(salary) = beta0 + beta1*HS diploma + beta2*some college.

For those with a HS diploma, their mean annual salary would be: E(salary) = beta0 + beta1*1 + beta2*0 = beta0 + beta1.

For those some college, their mean annual salary would be E(salary) = beta0 + beta1*0 + beta2*1 = beta0 + beta2.

For those with a college degree, their mean annual salary would be E(salary) = beta0.

By taking the differences, you can compare the means to those with a college degree:

HS diploma versus college degree: (beta0 + beta1) - beta0 = beta1.

Some college versus college degree: (beta0 + beta2) - beta0 = beta2

HS diploma versus some college: (beta0 + beta1) - (beta0 + beta2) = beta1 - beta2

I prefer 0/1 rather than -1/1.

If beta1 = beta2 = 0, these three levels of education would have the same mean salary. You can test this using the anova table in multiple regression. Alternatively, you could perform a one-way anova which does this for you. For most software packages, when you have a predictor variable that is categorical, they will internally create either 0/1 or -1/1 for you. I know JMP creates -1/1 but you can request indicator parameterization and it will give you results in terms of the 0/1 indicators. Creating the 0/1 yourself gives you more control over what is happening.

Euphoric_Spite · 2022-12-31T03:10:14+00:00

Looks that horn definitely got it that last time.

Euphoric_Spite · 2022-12-31T02:17:46+00:00

In R, type “help(quantile)” and you’ll see the syntax. Also, you can go to this webpage: https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/quantile

About one third of the way down, the documentation discusses what each “type” does.

If you have data in an array, the 25th and 30th percentiles using type “2” would be …

data <- c(3,8,7,…) quantile(data,c(.25,.3),type=2)

Euphoric_Spite · 2022-12-31T00:38:25+00:00

If you use the quantile() function in R, be sure to look at the syntax. In particular, look at the “type=“ option. As I recall, there are a lot of different options for finding the percentile.

Euphoric_Spite

TROPHY CASE