Statistical Significance and p-Values Explained Intuitively
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- Опубликовано: 21 окт 2020
- If you’ve ever seen a news story about a scientific study, you’ve probably heard something like “statistically significant results.” More likely than not, what this is referring to is a scientific study that found something like p is less than .05. In this video I’m going to do two things: first, I’m going to explain what it means when someone says that something like “statistically significant result,” then I’ll give you an intuitive explanation of what those p-values are and, finally, if you stick around to the end of this video, I’m going to explain why we use a threshold of .05 and not, say, .04 or .08 or .15 or anything else when determining statistical significance.
Learn more about who I am and why I'm doing this here: • Data Demystified - Who...
Video that has more detail randomized experiments: • Video
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This is the best explanation I got so far. I have watched so many videos but I didn't really get the intuition of what this p-value is. You made it all pretty easy to understand!
Glad it was helpful!
couldn't agree more!
I would love to see the continuation video on "How to calculate P-value?".
Thanks for your efforts. Keep teaching.
Okay so I understood that the bigger the number the weaker the evidence and truer to the null hypothesis. The pace, clarity and preserving the material to basics is SUPER FREAKING supportive of a growth mindset as an adult learner.
Happy to help how I can!
So well explained! Thank you for putting out great, simple content that is very intuitive. After watching other videos yours sunk in the best. Nice production quality too. Cheers!
This was the best explanation regarding this topic! Dr. Galak explained it so well in a manner that makes sense and sticks; his intuitive explanation allows me to use this logic and apply it any question on the USMLE step 1 exam regarding this concept. Thank you so much!
Took me 50 minutes to thoroughly go through this video and take notes for my AP psych test. Speaking of it, HOW IS THIS AP PSYCH
Wow! I love this video! I've been trying to get my head around this for months. Really clear video. Great information. I feel slightly better about the topic- but statistics is hard and it takes a while to stay in my brain! Thank you!
This video is amazing!!!!!! I'm a Chinese student, I do a lot of research about this topic, no one explains this as clear as you are! I will pay to see your lecture!
Thank you! No need to pay :). Just tell your friends if they’re also trying to learn!
I am also from China and am currently taking an introductory statistics course in the U.S. No one on RUclips gives a better explanation than you on the significance level and P-value.
@@DHDH_DH thank you!
I scoured the internet and my textbook and this is the best explanation I've come across. Thank you!
The intuition that you provided in the beginning was exactly the piece I was missing to solve this cryptic p value puzzle! Thank you so much, please never stop teaching.
Thank you for the incredibly kind comment!
OMG! This was like the best, most intuitive candid explanation ever. After struggling with so many videos, finally this one made sense. Thank you very much Galak sir.
Really glad you found this useful!
OH MY GOD THANK YOU. I've watched soo many videos. My professor never explained that rejecting Null was something desirable in a study & always used abstract definitions. I finally understand it now. Subbed
Happy to help!
Thank you for using the legal analogy to explain null hypothesis. Had been so confused so far. Also much thanks for such a simple explanation of the concepts of significance and P value. Looking fwd to some more videos.
I’m glad that this video helped clear things up for you!
This is the only video that made sense to me. Watched like 10 videos about p value and null hypothesis. This one was surprisingly the most intuitive. Thank you so much!!! :)
I'm so glad this helped you understand the concept!
Amazing !!! Please ,please, keep uploading more such videos. You have no idea how much they help us !!
Thanks! Have a look at the other videos on the channel as there is already quite a bit of similar content.
After watching so many videos on p-values, this is the clearest explanation by far. Liked and subscribed!
I'm so glad you found it useful! If there are other topics you think could use some intuitive clarification, please let me know!
@@DataDemystified Thanks for the reply. Maybe some people would appreciate a clear explanation of p-hacking.
Ph.D. candidate (second doctorate): Outstanding, sir! The easiest (best) description that I have ever read or watched. I feel more confident in my comments about p and H0. Thank you for not getting into the "weeds!" That is where most of us get lost, and the jargon only makes it worse.
This is such a great video & explanation, thank you so much for bringing p-values & any other kind of data into context, it's so helpful!!
Glad it was helpful!
Thankyou 😭 it is bestest video for understanding p value ... God bless you
Glad it was helpful!
AGREE! This was SO helpful. And so clearly and simply communicated. Thank you!
Thank you!
God sent.. very good explanation.. after a lot of head scratching, I now finally understood the whole idea behind the p values and rejecting the null hypothesis. Thank you 👍
Glad I could help!
Great explanation! Great, easy-to-understand, and clearly enthusiastic about psychology!
Hi! Just wanted to thank you for the video and to let you know that it’s so good, it and the video about confidence intervals are part of the obligatory curriculum in med school here in Belgium! Great work and keep it up
Thank you! Really glad it helps!
This is the best video I ever saw explaining something on statistics! The explanations are great to understand the logic of it.
So glad it was helpful!
wow. very good at simplifying and explaining this VERY back and forth/ hard to grasp ideas
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Thank you for sharing your knowledge. Keep up the good work.
Thank you!
After hours of looking around and searching this topic including in my university book, RUclips videos, and scientific websites..
I finally understood the Statistical Significance from your explanation! So intuitive and clear. Thank a lot :)
Also...
Definitely subscribing to this great channel :D
I'm so glad you found this useful! If there are other topics in statistics that you find challenging to internalize, let me know. I'm always looking to make content that will actually help people!
@@DataDemystified
I really appreciate it. You will definitely be the first place I go to for demystifying data :)
Thank you for sharing this video, you made it really easy to understand and digest. Keep up the good work.
Glad it was helpful!
Thanks for your explanation. You clarified the concept in plain English. I saw in another video how in Statistics significance has nothing to do with big and important. Something can be small or unimportant but still be "statistically significant."
This is great information, thank you!
I find your videos extremely intuitive and would love to see you make a whole series on probability and statistics. There are quite a few on the internet but not many are intuitive.
Thank you! Are there any specific topics in probability and statistics you find confusing? It's always nice to know where to focus my efforts.
@@DataDemystified I would love to see a series on Bayesian inference!
To be honest it could be any topic but a complete mini series would be helpful. Eg: I loved your video 'what's a distribution?', you could follow that up with a few more videos on similar topics. In any case, I hope you continue making these videos! pure gold
@@arunavamaulik19 Thank you for the suggestions!
Thank you, well explained! Been having a tough time understanding this
Happy to help!
Loving this - a little slower talking would be wonderful but can always go back a few seconds and re-listen.
Thank you! Yes, I'm working on finding just the right speaking speed. Feedback taken!
Thank you making me understand the concept!
THANK YOU! This made so much more sense than other explanations. You Rock!
Glad you found it helpful!
What an AMAZING explanation !! Super clear. Thank you !!
Very glad you found it useful!
I've watched a few videos on P values/statistical significance and this is the one that made it click. Thanks!
Glad I could help you make the concept click!
This is the best explanation to statistical significant studies. Even a grade student will understand this. Thanks Dr.
terrific explanation. Thank you.
Thank you !!! Very well explained
Omg, this is so much easier to understand in the way you explain it. Thank you!
really well explain video ! Hope to see more content from you
Great job. Thank you. Got a lot of valuable insights from the video.
Thanks Professor. This was super easy to understand. Please keep posting videos.
Glad you found it useful!
this was the best explanation I have ever come across - thank you!!!!
Amazingly explained!!!👌
Thank you! Kudos for such a simplistic way of presentation!
Thank you!
Finally I understood p value.. Best explanation ..bless you..
After watching 3 videos on p-value got to this one and I'm happy now. Keep doing.
So glad that this was helpful!
Very nice explanation, thank you!
You are so amazing. This made it super clear. Thank you!
Thank you! Do let me know if there are other topics I can help with!
Thank you very much for your explanation! I finally understood!! Great Job
This is a very easy to understand explanation, thank you.
Thanks so much. Very useful video!
Your explanation is really helpful! I spent about an hour to watch others videos and try to understand what level of significance means, but most of them merely just mention it in a sentence without explanation. I was a bit frustrated until I watched your video !
This was super helpful in my early understanding of theoretical statistics and what the null hypothesis means. Thank you!
Happy to help
That was very helpful and clearly put. Thank you so much!
I’m really glad you found the video informative!
Thank you, your explanation was very effective. I finally understood the essence of p-value from your example. Subscribed! :)
OMG Thank you so much i was having hard time understanding the concept of P-value, but you made it very simple, even the people from non data scientist field can understand it.
Very happy to help!
Amazing video! Just subscribed! 👍🏽
Thank you for this great example!
That is the best explanation so far for statically significant. Please introduce a course for statistics used in science to arrange the data and understand what statistical measures can be taken for the data?
Beautifully Said!
THANK YOU!!!! What a confusion you've dissolved. Wonderfully explained! Thank you :D
Happy to help!
such a good video, thank you for you help!!!
OH MY GOD! This video really helps me understand the meaning of p-values not just some statistical jargon.
Brilliant explanation of intuition behind p-value!
Very straightforward - thank you!
Glad you found the video useful!
Great video as always.
Can you do similar primer videos on those alternative methods you mentioned ("Confidence intervals", "Bayesian estimates", and "Effect sizes")?
Absolutely. I already have one on Confidence Intervals (see here: ruclips.net/video/UTHrv7YAzhM/видео.html). I also have one that intuitively explains how to think about Bayes' theorem without really calling it that (see here: ruclips.net/video/9mOq9d-eXxI/видео.html). I have one about Effect Sizes in the queue!
Great video. It makes a lot of sense.
This is so well explained!!! Thank you!
This is well enunciated.
Great information! Just subscribed.
Thank you, you real made it better to understand
Excellent teachings. Please I need videos on sample size calculations and z score calculation
Really amazing with good and simple example keep it up!!!!!!!!!!
Glad you found the video helpful!
Finally, You give me a strong evidence to understand Statistically Significant! Thanks and Keep it up!!❤❤❤
Glad you found it useful!
@@DataDemystified hope we'll learn more and more useful thing like this!!!❤
Great work! Going to share with all my CFA study friends!
Glad you found it useful! Just out of curiosity, is CFA: certified financial analyst? I ask because at CMU we have the College of Fine Arts (CFA) which is very different!
I have taken moment to like the video and subscribe to your channel, thank you berry berry much, it feels good to finally understand
Thank you and happy to help!
Such a great definition. Thank you!
Glad you found this useful!
Thanks, that's definitely a great video!
These videos are super helpful for me! I'm a mechanical engineer at a large tech company in the Bay Area and this helps me understand my data. Can you discuss Cpk vs. Ppk and all the topics surrounding such?
Thanks. Glad you're finding them useful! Cpk vs Ppl is a pretty technical topic. What in particular would you like to understand about it?
This is the first spss lecture I enjoyed watching
Thanks! Glad you found it useful!
Thanks for the great video!
Clear explanation, Indeed! Thank you! An area where I feel a “black box magic” happening, that would hope you can explain clearly is: in random permutation tests, data is shuffled randomly from both groups, some (less then factorial for practical purposes, yet sufficient ) number of times, and the subtracted means result makes a normal disturb plot. Now, we know: garbage in-garbage out. The randomization and permutations is possible “garbage”, over exposed and shafted with the original data from the 2 groups. Now, what I feel is magic, I’m supposed to believe, and come to conclusion for validation or rejection of the Ho, based on that original data, from Groups 1 and 2, when mixed with “garbage” to actually retain some of its qualities(or dilute them if it doesn’t) , through the random shuffled permutations, and if it has retained sufficiently( or diluted sufficiently) show me a P value that will disclose strong or weak tendency toward rejecting or accepting the Ho. So , basically, we use the random permutations, as if, analogizing, as if we could use some substance, and say it has those features, and then we mix it with “all kinds of “garbage tests” and eventually are able to say: see, it kept its features, through all those substantive permutations, must be strong, or, you see, it got diluted so much that lost those features, must be not enough strong, what you saw as feature was random feature case, so we keep the Ho. Something like that? Thanks a million- if you can touch upon this theme!
Love the ball and jury analogies!
Thanks!
Excellent explanation
Simply amazing explanation
Thank you!
Well done ! And thank you
Awesome explaination. I never understood why want to find evidence against H0, now it's clear.
Thanks! I'm so glad this helped you understand the concept better!
Thank you, I was so stuck on this!
Glad I could help!
Good explanation. Thank you 👍🏼
Thank you! Glad you found it useful!
Thanks for simplifying for us. I wondered why .05 ...:)
You're welcome!
Most excellent!!!
Thanks bro. You are great.
Thanks!
This is an amazing explaination. Subbed! Can you go into Confidnece Intervals, Bayesian Estimates, and Effect Sizes?
I discovered the channel today, went to see what other videos there were but saw that it's been a year since his last video 😪
YOU SAVED ME! thank uuuuu!!
What a great video!!!
veeeeery helpful thank u sooo much bro
Glad to be of help!
Thank you so much for this!!
Happy to help!
excellent explanation really helped me!
Glad to hear it!