Dylan Lance Armbruster

Perfect

Not p-hacking but definitely some sort of cheating verb.

Do you talk about the arguments for NHST?
psycnet.apa.org/record/1997-...

Confidence Intervals are inverted hypothesis tests.... p-values are fine.

Wikipedia is good. But I found two Statistics Encyclopedia's that do what I want from Wiki better at times.

Not a Bayesian but maybe you could also add what your goal is? For example are you interested in applied Stats or Math/theo Stats. Im interested in the latter so I'm going to read this one at some point
www.amazon.com/dp/038796098...

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Laughs in C++

Statisticool.com Statistics, Poetry, Investing, and other Articles

statisticool.com/mathstat/rep...
Worth reading WRT Replication Crisis.

The third installment of the “how should we actually construct our causal graphs anyway” series is out now! 👇🏼

Nick & I ask the question: can we just get an LLM to tell us what belongs on the graph?

I have a few of Neyman's papers saved. Reading about his inductive inference is interesting.

That is surprising to my noob stat brain.

you if all you have is college algebra. But I think it's a great work book to get your feat wet! I've read both the book and workbook in it's entirety and I think the authors have written one of the best HS stat books.

Mathematical Methods in Statistics a Workbook Buy Mathematical Methods in Statistics a Workbook on Amazon.com ✓ FREE SHIPPING on qualified orders

There are two books I think you can still use. Statistics by Freedman and Mathematical Methods in Statistics by Freedman is a solid choice if you want to learn about Statistics and some probability. The latter will challenge..

www.amazon.com/Statistics-F...

www.amazon.com/Mathematical...

I think Statistics and Probability courses are worth the effort if it is calculus based probability. So, if you were in HS and had to choose between AP Stats or AP Calculus. AP calculus is worth more of your time. Despite that, if you really don't plan on getting up to Multi variable Calculus...

I can grant that for now. Why do you suppose that is? I would imagine the one with a higher mathematical exposure would have the better understanding. Or from a Philosophical one.

Would you say the same thing if they went from Bayesian to Frequentist? If yes, then it seems like an advantage independent of what the switch is to. I'm a BS in Statistics, and I know that interpretation is wrong and why it is wrong. This is a critique of the education system.

That's frustrating but I see your point. That individual is equivocating on the word probability 🥲

They preface it with a promise of "this is what you want to know anyway". But imagine if we did that with say, calculus. A student doesn't quite understand integrals. Would we suggest them just do something else? As a stats/math tutor, I find this a bad solution.

"I see too many people casually using Bayes as just another stat method"
I'm a student, so I don't really encounter this in person. But online, I've seen people say they don't understand Freq method interpretations. As a solution, some suggest to just go with Bayesian methods.

What do you mean by Elementary statistics? The prereq for measure theory requires a solid understanding of proof techniques and Real Analysis.

But a Freq wouldn't say that right? That would be why I think the above is just a strawman of a property they didn't announce they had.

The mere fact that they randomized gives the investigator a good argument for it. Would you agree?

By null results, do they just mean failed to reject? Or do they actually mean the point estimate was 0?

"Sometimes people try to elaborate by explaining that in Frequentist statistics, the confidence interval either contains the true parameter (1) or not (0);"
I don't like this explanation either but, for me it's because it's a strawman.

YouTube video by Zoltan Dienes Richard Morey on the "The fallacy of placing confidence in confidence intervals"

He talk at the University of Sussex for those that want a video: www.youtube.com/watch?v=TvUS...

Check this out then,
www.jstor.org/stable/187185 .

If you think of CI's as providing initial precision, instead of finial precision, it helps with some of the confusion people have.

I almost used Rice and Hogg on my own. But I found that I didn't appreciate the examples Rice used (would often not be given the chance to work on the example myself). And for Hogg, I wasn't at the level of mathematical maturity that was assumed.

Mathematical Maturity via Discrete Mathematics (Dover Books on Mathematics) Buy Mathematical Maturity via Discrete Mathematics (Dover Books on Mathematics) on Amazon.com ✓ FREE SHIPPING on qualified orders

I would say I appreciated reading definitions and theorems a lot more after reading this (www.amazon.com/Mathematical...) when I did Discrete Math.