Converting continuous CDF to PDF?

Hello sub, Here’s what I’m stuck on: CDF(x) = 1/pi * arctan(x/2) + 1/2, for x in [0,1] I can apply the derivative pretty easily and obtain CDF`(x) = 2/(pi*(x2 + 4 )) = PDF(x) Unfortunately, I have no idea how to find the intervals for my newly found PDF. Help! Many thanks, and if something is wrong with my post please tell me what it is instead of downvoting. Cheers! submitted by /u/emergenthoughts [link] [comments]

Help interpreting linear mixed model interaction coefficient

Hi, Thanks for taking a look. The outcome/dependent variable is test score (min 0, max 14). The independent variable is – Group: Flip or Flip_Des (factor), – Response Time (Time taken to respond to questions) (Continuous Variable) – Time (Repeated Data collection over three time points: T2, T3, T4) (factor) ​ Using R, I ran a mixed linear model with some interaction terms. Equation: mod

Am i wasting my time?

Im going to be a senior in stats next year. I want to apply to applied stats or biostats grad programs next year. But, I feel like this is a waste of time because my gpa is exactly a 3 and my math gpa is less than a 3 (i get mostly B’s and C’s in my math classes) I signed up to take the gre but I honestly feel like its pointless due to my poor grades. Im really interested in getting my masters at a decently ranked school but it also feels like this is an unrealistic plan. Looking for some advice. submitted by /u/yeeeeeet98 [link] [comments]

Introduction to Statistical Learning – Anything similar for Python?

I’m aware of the texts Introduction to Statistical learning and The Elements of Statistical Learning, and that they’re both good texts that seem to be a sort of standard. Are there similar texts that use Python? Similar in the sense of them being a sort of standard. thanks submitted by /u/thonpy [link] [comments]

Is it important to make a github accont for jobs/grad school applications?

I was advised to make a github account and put some projects on it as a way to show off my data analysis ability. Also, most of my professors have github accounts and will show us codes in class off of them. With how much data analysis involves coding, this doesn’t seem like a bad idea, but at the same time, coding seems more of a means to an end, rather than an end in an of itself, like it would be to a developer or something. Do you guys have github accounts, and do you use them in job applications, or not really? submitted by /u/smmstv [link] [comments]

How important is graduate-level probability theory?

I am a PhD student in Applied Math and can either take a class in graduate probability theory (measure theory, random variables, multivariate normal, mixtures, LLN, CLT, martingales), or more classes that focus on mathematical statistics / statistical learning. I’ve taken a first course in probability and a grad class in mathematical statistics. How useful is probability theory in practice as a statistician / data scientist? I know what all the above topics are and how they work and I understand that there is value in theory. My question is, what will I gain from being able to prove the CLT or knowing about measure theory? How has knowing graduate probability theory made you a better practitioner? submitted by /u/misery_buzinezz [link] [comments]

Odds Ratio Interpretation

I understand when interpreting OR it’s the “odds that x happens, given y” or “the odds of x happening is times more for group a than group b”. ​ If the OR for a binary variable (F/M) is 0.704, would the interpretation be “For females, the odds of y are .296 times less than the odds of a male doing y”? I understand interpreting the inverse is ‘clearer’ but that is not the instruction received. ​ If the OR for a continuous variable is 0.051, is the interpretation “For each increase in x (continuous variable), the odds of y happening decreases by 0.949”? ​ Any help is appreciated. OR and False Negative/Positive are topics I cannot seem to cement. submitted by /u/simply_stayce [link] [comments]