I've been attending a Coursera course and I couldn't really understand this concept. I'm glad to find you in youtube. It was really clear. It's even more interesting to find out, by the comments that you are also on coursera. I'll look for your lectures. Thank you.
The deadface delivery of the pre-cognition and paranormal distribution joke literally had me cackling i love you so much (thank you for giving us so much amazing free knowledge, from your amazing coursera course in general to all these amazing vdieos and even your blog!!! you're amazing and i appreciate you tremendously)
Thank you Daniel. Your explanation of the “p” values is the best of all the explanations I have seen. I like your method of presentation. I subscribed! I like your examples. You are an fantastic teacher. I am so glad I found your channel.
Great job! You explained a frustration of mind very very well! I could never find the words, but you obviously have! Little thing to boost your creditability especially if you are criticizing other scientists, the word "data" is plural.
Keep making these videos, brother, they are great! This is the 5th video I watched on p-value and this is the 1st one that I feel helped me understand it. You're the man! 😁
Sorry to disagree. This must be about the twenty first p-value video that I have watched in an effort to understand the concept and how you arrive at a p-value, but, alas, as with all the others, I am none the wiser. Can anyone recommend a textbook that contains a comprehensible explanation, so I could buy it and read and re-read it? The item recommended by DL appears to be a journal article and will be hard to obtain.
Why it is said that the smaller the p-value the stronger the evidence against null hypothesis? I thought the opposite to be true. Can someone explain this?
![[ ออกกอง ] วัยหนุ่ม 2544 โลกหลังลูกกรง..ทัวร์กองถ่ายหนังใน "คุกของจริง" | JUSTดูIT.](http://i.ytimg.com/vi/vB--aOkZCpw/mqdefault.jpg)
I've been attending a Coursera course and I couldn't really understand this concept. I'm glad to find you in youtube. It was really clear.
It's even more interesting to find out, by the comments that you are also on coursera. I'll look for your lectures. Thank you.
The deadface delivery of the pre-cognition and paranormal distribution joke literally had me cackling i love you so much (thank you for giving us so much amazing free knowledge, from your amazing coursera course in general to all these amazing vdieos and even your blog!!! you're amazing and i appreciate you tremendously)
I've been through about 20 presentations on P for my nursing students here in Africa, this is by far the best!
This is the best video on p-value ever I watched.
you a gangsta, Lakens. a true goddam OG.
Keep it up, awesome videos.
Thank you Daniel. Your explanation of the “p” values is the best of all the explanations I have seen. I like your method of presentation. I subscribed! I like your examples. You are an fantastic teacher. I am so glad I found your channel.
Wow. Calm and cool with precision. Love you sir.
Great job! You explained a frustration of mind very very well! I could never find the words, but you obviously have! Little thing to boost your creditability especially if you are criticizing other scientists, the word "data" is plural.
Keep making these videos, brother, they are great!
This is the 5th video I watched on p-value and this is the 1st one that I feel helped me understand it.
You're the man! 😁
Thanks!
Sorry to disagree. This must be about the twenty first p-value video that I have watched in an effort to understand the concept and how you arrive at a p-value, but, alas, as with all the others, I am none the wiser. Can anyone recommend a textbook that contains a comprehensible explanation, so I could buy it and read and re-read it? The item recommended by DL appears to be a journal article and will be hard to obtain.
Amazing explanation...I must say Stats is taking us close to philosophy
This is excellent
Fantastic explanation
Why it is said that the smaller the p-value the stronger the evidence against null hypothesis? I thought the opposite to be true. Can someone explain this?
That was one brilliant lecture.Kudos!
This is excellent.
Truly Amazing....
Thanks! Well explained!
I am crying a little right now
thanks
⭐️