I am a student who is neurodiverse, that struggles when learning is limited to the classroom setting, time, presentation etc... and your mission is so helpful to me. Thank you so much for what you do.
I have learnt the concept of p-value for more than 8 years and this is the first time that I fully understand the meaning of it with your straightforward illustration! Appreciate it!
I am finance professional, with age (42 now) I forget the concepts sometimes as i always believe to be rooted to the basics and thank you so much for your graphics and so well explained
thank you for the explanation. I'm a statistics major student, but i barely remember this things and just trying to find out about the meaning of p-value again before my exam. I really appreciated your video. Thank you!
I really wanted to say thanks to you because with this small, simple video and your outstanding illustration approach, you helped me to get my Udacity practical statistic project done as a part of their data analyst nano-degree. Thank you so much
Really a good video. You have a good methodology of teaching. It became much more clear for me after watching this video. But PLEASE upload the links you have mentioned several times in the video!
Thanks a ton for your classes on statistics. Your good work will add a lot of value to lot of people's career. It has generated a lot interested in me for statistics.
It's the standard Z-Score, which is based on the standard assumption that you're solving for a 95% confidence interval, leaving 5% for the margin of error (2.5% divided evenly among both sides). Looking up the Z-Score for 2.5 (which is .025) backwards on your table, you'll find that it's Z-Score is 1.96.
I really don't get this part: 'Looking up the Z-Score for 2.5 (which is .025) backwards on your table, you'll find that it's Z-Score is 1.96.' ? How is that calculated?
This is very informative. I love the simplicity of your explanation. I just want to ask if there a specific critical value table for Jonckheere test? Thank you.
Just a minor correction, in order to find the exact p-value for a two-tailed test, you must multiply the area beyond by two. Therefore, the two-tailed probability for a z-obtained of 2.6 would equal .0047 x 2 = .0094 (using the rounded table values in the back of a typical statistics book, but the exact probability is actually .009322 as obtained through this probability calculator: www.socscistatistics.com/pvalues/normaldistribution.aspx). What you will notice with this calculator is the p-value always doubles if you select two-tailed instead of one-tailed. (I teach statistics and was looking for a video to share with my students, but am afraid this error will throw them off. Is there a way for you to make a correction in the comments?)
statistics doesn't work it is a pseudo science, there is no logic in it. that is why so many students don't get it I still didn't got the answer on what p-value means, unless you can clarify it.
Thank you for the video. It clearly explains the concept of alpha and dividing it. Just a bit confused. You put the p-value without multiplying the p equivalent by 2, whereas for -z scores, we multiply the p equivalent by 2. Why is that the case?
Joseph Angelo Arroyo Many thanks for you compliment. It is much appreciated. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess It will help others find the videos.
Hey really got my doubts cleared......but when calculating the one tailed test why we are taking the critical value as 1.645 even though we are taking the 95% confidential level....
I could not find the link ( at 0:27 ) which is for how to find the calculation to get 1.96. I need the relationship between p value of 0.05 and 1.96 please
On a Std normal distribution table, Z-down = 1st digit...across = 2nd digit, correct? 100% based on the calculus of area under the curve, correct? So, how would 90 or 95% confidence instead affect the probability with same Z-score? Thanks from a middle-aged six sigma Green Belt student...
What if the given significance level is 0.025? Which alpha and a half would be 0.025/2= 0.0125 which is not on the top of the chi-square distribution table. How do I identify my critical/rejection region when alpha and half equals 0.0125
im confused... beacsue alpah significance can be different and will result on diff outcome of rejecting or accepting null hyptthesis p value is used but i dont understand how p value solves this problem
Sorry, I guess you're referring to the number of standard deviations within which 95% of data lie. In this case, I would figure simply +/-2, with the confidence level of 95.4%.
I don't understand, why the 2.6 z score is in the rejection region, I thought the rejection region is 1.96 below, isn't it in the outside? I don't get it... :(
No, the rejection regions are above Z=1.96 (for this example) and below Z=-1.96 (this example). The confidence level as stated was 95%, meaning that for this analysis, H0 (null hypotheses confirmed) would be confirmed if -1.96 < Z < 1.96. If Z < -1.96 or Z > 1.96, then H1 is confirmed and H0 is rejected.
i didn't find yet a doc or a video shows how to calculate alpha, how do we choose that pourcentage ? should we choose it randomly ? no one answered it also all of them said the same thing we take 95% so alpha is ..... sorry but this video confused me a lot, it should help but it didn't :(
I thought I was the only one who had problems with stats in school, reading the comments I have some relief 😂, wish I had someone explain it to me this way, I would have at least a "B"
1.96 is the calculated Z-score at which there exists 47.5% of the expected values between the mean (0) and 1.96. Above Z=1.96, and you'll find the final 2.5% of the expected values of the population in question above the mean. For -1.96 < Z
I am a student who is neurodiverse, that struggles when learning is limited to the classroom setting, time, presentation etc... and your mission is so helpful to me. Thank you so much for what you do.
so you're special ed LOL
@@theaveragemegaguynot necessarily
I have learnt the concept of p-value for more than 8 years and this is the first time that I fully understand the meaning of it with your straightforward illustration! Appreciate it!
Great simple graphics, no fancy professional statistician language to fly over my head. Finally FINALLY go these meanings. Thanks so much.
I am finance professional, with age (42 now) I forget the concepts sometimes as i always believe to be rooted to the basics and thank you so much for your graphics and so well explained
3rd year stats student, still watches videos on what p-value is. Excellent video, thank you!
I cannot thank enough for the videos! You literally saved my academic life!
thank you for the explanation. I'm a statistics major student, but i barely remember this things and just trying to find out about the meaning of p-value again before my exam. I really appreciated your video. Thank you!
After receiving many explanations, I now FINALLY understand it thanks to you. Thank you for sharing your knowledge!
I really wanted to say thanks to you because with this small, simple video and your outstanding illustration approach, you helped me to get my Udacity practical statistic project done as a part of their data analyst nano-degree. Thank you so much
You are the best thing to happen to me in RUclips !!!Finally i really got what is alpha and p value!
I am literally crying and so glad I found this.
no linked video for critical value dude
checking .025 in Z-table gives you 1.96 i.e checking alpha or alpha/2 in z-table gives the critical value.
If only i had found this channel before my exams
damn
This is one of the best videos I have found explaining these concepts. Thanks a bunch!!
Wow...so clear, concise, and easy to understand. Thank you!! I WAS struggling with the distinctions until THIS video. My LOC has increased:;)
I've watched a million videos on youtube and nothing compares with this, finally i understand p.
Finally, I've understood the p-value actual meaning from this video
Thank you very much!
Really a good video. You have a good methodology of teaching. It became much more clear for me after watching this video.
But PLEASE upload the links you have mentioned several times in the video!
Yeah it didnt have it for me either, could use this instead: ruclips.net/video/sJyZ9vRhP7o/видео.html
The best video that explains p value
oh the thing is making sense now ,Your demo is excellent ,I have watched ten videos to grab this concept of p value ,now i get it
thanks
Thanks a ton for your classes on statistics. Your good work will add a lot of value to lot of people's career. It has generated a lot interested in me for statistics.
well explained !! Nothing better than making it understandable. You are better than books!!!
where is the link to the video that helps you calculate the "1.96" value? cant see it in the description
Thank you sir, your explanation has shed some light into my clouded mind when it comes to inferential statistics.
You’re the boss, man
Your instruction style is amazing! I really appreciate it. Thank you!
Thanks for the video! Probably the best that I've watched about this topic.
Thanks for your videos. Although my Psychology lecturer tried hard, I didnt understand a word he was saying. Thanks for your help.
there is no link in the there to tell us were the 1.96 comes from
Its the z score
yes :(
It's the standard Z-Score, which is based on the standard assumption that you're solving for a 95% confidence interval, leaving 5% for the margin of error (2.5% divided evenly among both sides). Looking up the Z-Score for 2.5 (which is .025) backwards on your table, you'll find that it's Z-Score is 1.96.
how is that calculated?
I really don't get this part: 'Looking up the Z-Score for 2.5 (which is .025) backwards on your table, you'll find that it's Z-Score is 1.96.' ? How is that calculated?
Great review. Clear explanation and humor (near the end). Take care.
It can’t be explained any better. Thank you!!
Very nicely explained. Slowly and calmly. Great video
Such beautiful video. Direct and with amazing explanations! Thanks for sharing!
So simple yet powerful. Thank you so much for this. I was literally struggling
yeah! studying while sitting on the can! knowledge!
Thanks! This really helped me better understand the biostats portion of a presentation I have coming up.
I did not read comments to not confuse my head, please enlighten me. In your example we can say that if the Z is 2.6 we can reject the hypothesis.
This was a WIN! 5 minutes well done!
Thanks for de-complicating it! enjoyed watching the video and it clarified all my doubts!
Great video - thank you for taking the time to make this.
This is very informative. I love the simplicity of your explanation. I just want to ask if there a specific critical value table for Jonckheere test? Thank you.
Just a minor correction, in order to find the exact p-value for a two-tailed test, you must multiply the area beyond by two. Therefore, the two-tailed probability for a z-obtained of 2.6 would equal .0047 x 2 = .0094 (using the rounded table values in the back of a typical statistics book, but the exact probability is actually .009322 as obtained through this probability calculator: www.socscistatistics.com/pvalues/normaldistribution.aspx). What you will notice with this calculator is the p-value always doubles if you select two-tailed instead of one-tailed.
(I teach statistics and was looking for a video to share with my students, but am afraid this error will throw them off. Is there a way for you to make a correction in the comments?)
Perhaps you should make your own videos...
statistics doesn't work it is a pseudo science, there is no logic in it. that is why so many students don't get it I still didn't got the answer on what p-value means, unless you can clarify it.
Thanks God. Thank you for existing.
Excellent never ever seen such great details
Thank you for the video. It clearly explains the concept of alpha and dividing it. Just a bit confused. You put the p-value without multiplying the p equivalent by 2, whereas for -z scores, we multiply the p equivalent by 2. Why is that the case?
Best video I've seen. Love it!
Well aren't you a breath of fresh air.
Absolutely perfect discussion. Thank you so much!
excellent teaching. really easy n fun. the best.
I see no links to any of the videos you mentioned in this video.
omg!!!! you saved my life! THANK YOU!!!!!!!!!!!!!
Thank you very much for this video! It is really easy to understand.
Love your videos. Keep it up, sir
Joseph Angelo Arroyo Many thanks for you compliment. It is much appreciated. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess
It will help others find the videos.
Fantastic visualization. Thank you. I will share.
Thanks in a million. Awesome. Where have you been all these years? A+
When you explain the p-value. Isn't it 0.025 in each rejection region?
Hi David, the links you mention in this video aren't there.
This is simply great.
Very nice video and good info. Which software have you used for the animated demonstration?
actually helped with my cram session
thanks its really slove my problem my teacher was unable to explain
Which tables you shown , i referred many but what you shown is not available, Pls guide the name of the table
Yes I gave you "like" , but would you please explain the Standard deviation and Standard Error . thank you
Hey really got my doubts cleared......but when calculating the one tailed test why we are taking the critical value as 1.645 even though we are taking the 95% confidential level....
The standard deviation units are important as well.
Your lesson are super clear
May I ask what you platform you use to make the videos. It works smoothly whatever it is. Thank you for the stats help - it’s been a while!
I could not find the link ( at 0:27 ) which is for how to find the calculation to get 1.96. I need the relationship between p value of 0.05 and 1.96 please
Yeah it didnt have it for me either, could use this instead: ruclips.net/video/sJyZ9vRhP7o/видео.html
On a Std normal distribution table, Z-down = 1st digit...across = 2nd digit, correct? 100% based on the calculus of area under the curve, correct? So, how would 90 or 95% confidence instead affect the probability with same Z-score? Thanks from a middle-aged six sigma Green Belt student...
Great tutorial, sir! But, did not find the video.
What if the given significance level is 0.025? Which alpha and a half would be 0.025/2= 0.0125 which is not on the top of the chi-square distribution table. How do I identify my critical/rejection region when alpha and half equals 0.0125
im confused... beacsue alpah significance can be different and will result on diff outcome of rejecting or accepting null hyptthesis p value is used but i dont understand how p value solves this problem
Whence did you get the +/-1.96 for each tail? I would take it this ought to be +/-2.5, given a 95% confidence interval.
Sorry, I guess you're referring to the number of standard deviations within which 95% of data lie. In this case, I would figure simply +/-2, with the confidence level of 95.4%.
thankyou this was really helpful!
Thanks! A great video!
I'm so confused. my book shows alpha .01 and alpha .05 and I dunno which one to use when I get t obt landing above t crit
I don't understand, why the 2.6 z score is in the rejection region, I thought the rejection region is 1.96 below, isn't it in the outside? I don't get it... :(
No, the rejection regions are above Z=1.96 (for this example) and below Z=-1.96 (this example). The confidence level as stated was 95%, meaning that for this analysis, H0 (null hypotheses confirmed) would be confirmed if -1.96 < Z < 1.96. If Z < -1.96 or Z > 1.96, then H1 is confirmed and H0 is rejected.
i didn't find yet a doc or a video shows how to calculate alpha, how do we choose that pourcentage ? should we choose it randomly ? no one answered it also all of them said the same thing we take 95% so alpha is ..... sorry but this video confused me a lot, it should help but it didn't :(
Alpha is somewhat subjectively chosen. It depends on what confidence level you want to apply to the analysis.
Is it always 95% confidence level?
Hey.. I can't seem to find the links you mention below, but thanks for this!!!
Yeah it didnt have it for me either, could use this instead: ruclips.net/video/sJyZ9vRhP7o/видео.html
@@TheKatrinaYang Thanks for the link, it will help other people I believe. Good luck with your studies!
0:26 what link, where is it
you are simply great man
can you explain the difference between F test T test Z test and Anova? Thanks!
this saved my life ty
A little confuse on the P-Value????? Step by step please?
OMG! This is so helpful!!!
thank you so much sir 🙏
Can I use this for significance test?
Why are your test results t-scores?
I thought I was the only one who had problems with stats in school, reading the comments I have some relief 😂, wish I had someone explain it to me this way, I would have at least a "B"
Thanks much for your videos. I'm a follower. Please make one about MANCOVA and Bayesian. Thanks!
Thank you soooo much ❤❤❤
Really well done.
I didn't understand from where 1.96 and 2.6 comes from ???
1.96 is the calculated Z-score at which there exists 47.5% of the expected values between the mean (0) and 1.96. Above Z=1.96, and you'll find the final 2.5% of the expected values of the population in question above the mean. For -1.96 < Z
very clear explanation. thank you so much (y)
Thank you!!!!!!!!!!!!❤❤❤❤❤❤
Statistics is the most boring fucking thing in the world but I thank you for making a little sense out of it for me.
where is the link for critical values ??
where is the link to calculate the critical value ?
+Veronika Byra did you ever find it?
Well finally i can understand null hypothesis.