Probability, Part 6: Confidence and (vs) Prediction Intervals
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- เผยแพร่เมื่อ 25 ส.ค. 2024
- Bayesian Video:
• Probability, Part 4: S...
Reason 95% confidence interval does not mean there's a 95% probability of the interval containing the true value:
featuredconten...
Learning objectives:
#1. Difference between point estimate and confidence interval
#2. What a confidence interval tells you
#3. What a prediction interval tells you
#4 What a confidence interval can be used for
#5. The correct interpretation of a CI
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Thank you so much! Finally understand those terms!
very awesome methodology of explaining the stats concepts.
Okay this is exceptionnal , I got the explanation I was looking for AND I enjoyed a video about statistics 😂 Amazing job !
This guy is awsome! Best explanation ever!
Bro you're too good. I liked this video as much as I like statquest's videos and that I think is the nicest compliment I could give to anyone. Thank you so much. Please keep posting more such videos.
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Great video!!!!!
You are funny, man! Thanks for the great vid!
Awesome video!
it was spot on!Thanks a loooot.
Yooooooooo'ure welcome :)
Do you mean, as the confidence level gets wider we are less confident and the confident level gets smaller?
yes, as the confidence level widens, we are less confident about what the value should be. But there's a difference between the *size* of the confidence interval, *our confidence* in the value, and the level used of the confidence interval (e.g., 95, 90, 80).
@@QuantPsych But i am little bit confused, if the confidence interval widens, should not that mean that the confident level increase, and if so, how are we less confident if the confident value increased ? ( Note: I understand how widening the confident interval makes us less confident of where the true value is)
@@nobel.z4266 I see what you're asking. Yes, you are correct.
Instead of an infinite number of times could we say: If we did the experiment 100 times, we are 95% confident that the true parameter is in 95 of the CI's?
On average, yes. But on a specific occasion, not necessarily.
Hey Dustin,
Is this statement correct?
‘if the p-value is greater than 0.05 = we keep the Null hypothesis = with the probability of 95% we can assume that there are no differences between estimates in the subsamples’ (the p-value was 0.296)
My lecturer wrote it on one of his slides regarding the Andersen likelihood ratio test. How would you phrase it more correctly?
That's not correct. We could rephrase it as, "if the p-value is greater than 0.05, we can assume that *if the null hypothesis is actually true* a sample such as this isn't terribly uncommon."
Even that's awkwardly worded. (Why can't we all be Bayesians? :))
@@QuantPsych So it's completely wrong to say "with the probability of 95%", isn't it? I sent an email to the lecturer pointing it out, but received an answer that I am wrong.. lol I guess I'll have to phrase it the wrong way if I wish to get all points in the exam 🤔
your video is very distracting and unconducive to learning. i didn't learn anything from this video. appreciate the effort though, hopefully you can spend the time making more helpful videos.
then don't watch my videos
@@QuantPsych You should probably learn to take constructive criticism better. This video was hard to watch and I wasn't able to learn much either. I don't understand why your face is on screen for the practically the entire video, like how would that help anyone understand what your'e saying better?
Slim Rich Then don’t watch my videos
@@diffy4458 Well, I have been able to go through 15-20 videos without losing attention thanks to his innovative teaching skills. If you want to watch regular tutorials there are hundreds of them on youtube. Go watch them instead of trying to change this one.
@@diffy4458 bruh then watch another video. 70 people liked this video. I liked the video you don't speak for everyone and he can do whatever he wants in his videos.