What are p-values?? Seriously.
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- čas přidán 19. 06. 2024
- See all my videos at www.zstatistics.com/videos
0:00 Intro
2:00 Coin example
8:52 History of p-values
13:06 One-tailed vs two-tailed p-values
20:02 Example of p-values in journal articles
Research article:
Si, Y., Xiao, X., Xia, C., Guo, J., Hao, Q., Mo, Q., ... & Sun, H. (2020). Optimising epilepsy management with a smartphone application: a randomised controlled trial. Medical Journal of Australia, 212(6), 258-262.
Hi Zed ! Is it possible that one day you make a serie of videos where you just take a database and examine it juste like you’d do it as a statistician (for example, where do you begin, what questions do you ask yourself and how you answer them etc). I think it would be a perfect example that’ll show us how statisticians work ! Thank you for all your content
This. Is. Great. I'm definitely doing this. Will give you a big ol' shout out when I do it.
I support that request. It would enable us to apply all we have learned into practice! Thank you for your kind consideration.
Count me in too.
@@zedstatistics Thanks for all your content ! Eagerly waiting for this one!
@@zedstatistics did you do this?
Hi Justin! Just wanted to say I was in one of your tutorials for BUSS1020 in my first year of uni and you were honestly one of the best tutors I’ve ever had. You were always so passionate and have made me enjoy statistics so much more! Thanks so much and awesome video!
I am beyond grateful to you for taking the time to make such an amazing video for the public. I am in a five week accelerate statistic course this summer for grad school and it is rough doing it online, independently. I just came across your videos and I have tears of relief. Thank you!!!
Zed: I love your stats videos in general, but this one is through-the-roof informative - thanks so much!
Hi from Italy!
Finally I can write this very comment! I'VE PASSED MY STATISTICS EXAM :D
This is basically thanks to your very clear explanations! The way you break down concepts is just the best! Thank you very much for helping students all over the world.
That was exactly what I needed to understand this concept. I have watched so many videos trying to grasp this and only after watching your video do I understand. THANK YOU!!! You are a great educator.
This breakdown has thoroughly improved my understanding of p-value and my overall confidence in my understanding of this essential concept - thanks, Zed!!🙏
This is a very late comment, but I case Zed still gets notifications: I’ve struggled with stats since college (40 years ago, ahem), but I’ve been trying to work on my understanding ever since. This vid has finally made p-values understandable. Thank you! Big fan.
I was trying hard over youtube for a good explanation of p values and finally i got the best ....
Finally!! Someone who really knows what he's talking about AND can actually explain what p values are. Thank you sir, you rock!
Hey, just wanted to let you know that these videos are extremely useful and the way each and every topic is explained is fascinating. Thank you very much for all the videos. Love from India.
I've watched numerous videos existing in youtube to understand p-values, and I can assert with no doubt that this one is the best explained. Thankyou
Dude that's some sweet videos
i dont even need to know statistics to a deep level but your videos
still attract me, you are a great teacher!
This is the best video which explains p-value very clearly. I did watch many videos and lectures on p-value. But this one really make it clear !! Thanks Justin...!!
Hi Zed! I'm Annet from Uganda, I have finally understood both P-value and Confidence Interval after watching your CZcams videos.
Thank you so much and Be Blessed.
Appreciate you and this content so much! The structure (problem statement, context/history, charts, and application) make it easy to intuitively understand the concept. Thank you
man, this semester I had a class in mathematical statistics. This was the one topic I didn't fully understand. THANK YOU!
recently discovered this..this channel is a gem, I'm in love
The best content on p-value on CZcams, understood in one go!
really helpful and clear explanation! I studied it 40 years ago and retrained in a graduate course again several years ago. I still feel unclear with how to interpretate P value. Great contribution!
Thank the gods I found your channel a few months before my exam! Really enjoying your methods and delivery 😀 😍
Zed, you have no idea, but you've just managed to crack this nut for me. This is so well explained. Thank you, thank you....
This is amazing. I have ADHD and have always struggled with math in general. Statistics has been absolutely stressful for me during my MPH program. Thanks to you, I feel like I am finally understanding these concepts. THANK YOU!!!
Right there with you. It’s like I have to translate statistical terms in my head while my professor on 3 sentences ahead.
This is the best video about p-value! Deep respect! And thank you!
Finally understand p value better after watching most p-value youtube videos. This is the best!
I have to say this is the best and righteous video about P value, compare to a bunch of high-viewcount videos from blissfully misunderstood author about what p value is. Calculating the p value is not something complex, but the point that you really touch here is: Why rejecting the null hypothesis when the p value reach some small limit (5% to be common)? What is the link of trusting the null hypothesis with getting some really rare samples?
And i think you done a great job addressing this stuck point in understanding the p value. Great job. Keep it up!
I am finally truly understanding this concept now after many hours of frustration and despair! Thank you so much!
Thank you so very much! Hands-down the best lecture video on the topic that's up on CZcams!
I watched 3 different videos on p values and still barely understood. This video helped SO MUCH and you totally crushed it dude tyvm
You had me at "casting aspersions."
Excellent videos - thank you very much for your efforts.
I never understood what the p-value was, even after 3 courses where is used it. But somehow after the first 5 minutes of this video it was clear,. Thanks so much!
Honestly, I couldn't find a better video to explain this. THANK YOU SO MUCH!!!
Hey Justin ..by far this is the best video and applicable for Med students on p value ..thanks a lot for all your effort
I have not seen any videos better than the yours. Lots of love from India. Kudos to your work.
Thank you so much Zed for your videos. It's a lot easier to understand when study with examples more than just a lot of theories. You are saving my life. Do you also teach about Time Series Analysis?
This channel deserves million subscribers.. Believe that!
WE LOVE YOU MAN! waiting for your video series on full statistician work from a database. lead us master.
You are a great teacher... your videos are well worth the time. Thank you.
AFTER SO LONG I ACTUALLY UNDERSTOOD p-value. Thankyou so much!!!!!
Hi, Thanks for all of this videos. they have been super useful to increase my understanding of hard statistics concepts
you made statistics cool, fun, interesting and understandable ! thank you sir, sincerely :)
Excellent video. You make your video's easy to understand, interesting and you are a great speaker as well!
Awesome teaching. Really appreciate your efforts
Wow...I'm recommending to my class, this helped me a ton!
These are the best stats videos... What a great way to teach, concept followed by examples. Wao
This is sooooo helpful, Justin.
Thank you.
Hi Zed !! Great video. It's always a good thing to get a good intuitive understanding of the concept before diving into the mathematical details. It would be great if you could make a video on p-hacking or the misuse of p-values someday. Thanks!!
Hi Madhav! See the last 10 minutes of this video where I go into p-hacking! czcams.com/video/kyjlxsLW1Is/video.html
@@zedstatistics Cool. Thanks. Will check it out
Your video's are so great!! can you do one about " time series analysis"??
Outstanding explanation of p-values! Thanks!
Very comprehensive and well explained. Thanks zedstatistics team.
Hi Justin! I love all your stats videos. I wanted to know what SD you took for coin case study (any specific way to calculate that). I was trying to calculate p-value on my own so that I can teach my students. Looking forward to your reply.
23:20 - "Eighteen percent probability that the difference we are seeing here occured purely by random chance"
Finally. I needed to hear these words. Understanding p-values was quite tough for me, I think i watched 10 video explainations but now it finally clicked in my head. Thank you very much
This is not correct, exactly. I repeated this many times and would like to involve @zedstatistics once and hear his take on it. I believe the correct interpretation would be, "The p-value of 0.18 means that if the null hypothesis (H0) is true, there is an 18% probability of obtaining results as extreme or more extreme than those observed on repeated testing. This is not the same as saying that there is an 18% probability of obtaining the observed effect by chance." Though I understand this is a minor thing since you're rejecting it anyway, for understanding, it's more like percentage vs percentile. It's more about the cumulative probability of extremes vs the probability of this exact finding.
Best explanation I have seen. Thank you very much.
Thanks. Before this video, I could not wrap my mind around this concept of p-value.
thanks a lot..this gave me just enough understanding that I need to interpret the statistical data i often come across in publications
My lecturer didn't explain at all. He just gave us the formula...
Hi Justin, please make a video using two samples who have been subjected to RCT as the ones you used as an example. There use the software tools and show how P-values are derived and the logic used by the software tools.
Good examples and way to lead the viewer into understanding p- values.
Love your French reading....Compliment from a French follower!
Woo, the explanation is so good, thanks so much
That's an excellent presentation....helped me a lot.... thank u very much ...
Great explanation, thanks zed!
Excellent video. Thanks!
That was an exceptionally good introduction! Great content as always!
Ye Msc k liye seminar bna le kya
Ye konsi cllass ka h
Thanks for the video! I am a bit confused about why a confounder is sometimes a nonsignificant predictor based on likelihood ratio test. By definition a confounder has association with both - exposure and the outcome, and it's not in the causal pathway.
So, if a regressor is a confounder, the p value of LR test on it's removal from the model should be significant, right?
Why is it the case that regressors sometimes have nonsignificant p value of LR test on their removal from the model but are found to be a confounder as per change-in-estimate criteria? Is this because of type 2 error in LR test where we accepted the null hypothesis when we shouldn't have done so?
Thank you, this is an excellent video, and as a fellow Aussie I enjoyed your use of the coin
Really, thank you for the video! Not only did I learn about p-values, but it also made me look at statistics more fun rather than feeling stressful :)
Perfect explanation!
Thank you, Mr. Justin.
I am doing Chisquare test, Could you tell me how to find the p value range (a
You are my saviour, thank you!
Great video. Thank you!
You are a great teacher.
Thank you!!! Thank you so much!!!! I was stuck in my Stats course - it just wasn't making sense to me until now.
Wow very well explained 👍
I am in Grad school, and these video really helping me catch up!
Hey man, please, please make some videos on Multivariate Probability Distributions.
Please make some videos using Statistics related softwares. Like SPSS, E views.
Where we can apply these concepts practically.
Underrated channel
Thanks for visualizing many these abstract statistic lessons but I’d like to see the picture of distribution curve in which the example that p-value is 1 between gender in both App and Control group.
Thank you!!
u made things easy:-)
I finally got it! Thank you so much
incredible video. Wow 🤩 that was amazing and very helpful Justin
Thanks a lot from Saudi Arabia 🇸🇦
I finally got it, thank you!!!!
Wow man, best explanation,thanx
Great video 👏
Excellent
Is it safe to say that if the p value is less than 5% or closer to 0 then the sample (or event outcomes )
may be skewed?
excellent explanation
Can you please explain How do you find out p values for different metrics in last example. I am assuming for age mean and other independent variables, you would possibly know the distribution from a large sample of data and use that distribution to calculate a p value. But what about the p value of those results how do u calculate that? How did u get distribution to calculate that
Many Thanks
How did you calculate the p-value, I'm stuck.
So, first we find the sd, which is root of 100(0.5)(1-0.5)= 5.
Then, we convert to SND, (56-50)/5=1.2. And p-value= 2*P(Z>1.2)=2*.1151=0.2302
Could you please correct where I'm going wrong? Tysm, love you videos!
mee too ~ I am stuck here. Could someone give me some hints?
Can you please have a NAIVE BAYES Classifier session posted?
Cool! I don't know much about stats, but the convention I think that is most conservative would be to choose a threshold; if doing a 2-tail test divide threshold by 2 and apply to both sides of the PDF, if doing 1-tail test, divide threshold by 2 still, and use half on one side... this is the most conservative way of doing it I guess... if I didn't divide by 2 in either case of a 2-tail or 1-tail test it would be less conservative with respect to the hypothesis.... but it means the 1tails are more conservative than the 2tails... I'm babbling.... Thanks for the video!
Hi! how to calculate the p-value of the log rank test?
Just following along in Libre Calc... shouldn't the P value for your 60 heads example be 0.035 instead of 0.032? I get the same answer for 56 heads... but something seems off on the 60 heads example....
Provided our thereshehold 0f 0.05, hence is it ok to think that the mean diff should be in the shaded area (either one) for the two tailed and that the mean should be in te shades area in the one tailed in order for us to reject H0? Thanks! :)
hello sir! can you make a video bout CONTINOUS PROBABILITY DISTRIBUTION AND JOINT PROBABILITY DISTRIBUTION
you helped me getting an A in statistics
Why do you (Justin) call it an 'alternate' hypothesis? Alternating between what and what? Instead, should it not be called an 'alternative' hypothesis for it make sense exactly with what you are explaining?