p-value - easily explained with an example
What is the p-value and how is it interpreted? That's exactly what you'll learn in this video!
The p-value tells us:
How likely it is to draw a sample that deviates from the population by the same amount or more than the observed value.
We have a sample that deviates from the population. We are now interested in how likely it is in the first place to draw a sample that deviates from the population by the same amount as our sample or more.
p-value tutorial:
datatab.net/tutorial/p-value
p-value calculator:
datatab.net/statistics-calcul...
00:07 Example for the p-value
01:53 What does the p-value mean?
04:35 What is the significance level?
05:31 What is the type 1 and type 2 error?
06:42 Calculate p-value online.
Пікірлер: 58
The way She is explaining.... That's just awesome. I wish to have a teacher like her for all subjects. Tonns of love from Ormanjhi,Ranchi, Jharkhand.
Wonderful!It is so clear to understand! Thank you !
You made it so easy. Thank you for the explanation!
Long time no news from your valuable chanel
Clearly explained, great video ;)
Thank you for this simple explanation 👍👍👍
You don't have idea how much you presented it sweet and soft
@datatab
8 ай бұрын
Thanks : )
Is it correct to assume that this is only suitable or commonly used for experiemental research design to find cause and effect? How will this help or how is this relevant in Pearson correlation to study relationship between variables? I'm confused, is the P-value in the video referring to the P in Pearson correlation coefficient?
Excellent explanation, thank you.
Excellent lesson, thank you!
I understood this until I didn’t.
@sumayyahsalem4554
7 ай бұрын
Do you understand it now
@catirerubio
7 ай бұрын
It is very kind of you to follow up with me. No, I still do not get it. It is so very much to absorb, understand and, then, put into practice. It just does not cognitively click.@@sumayyahsalem4554
Your explanation is very good!
@datatab
Жыл бұрын
Glad it was helpful!
Thanks for explaining it beautifully 😊
@datatab
Жыл бұрын
Glad it was helpful! Regards Hannah
Wow! I studied biostatistics from UNMC, Nebraska, but couldn't find their teaching as accurate as this video. I actually struggled for the the whole semester if I could understand their concepts.
@a_aysh
10 ай бұрын
Here from UNO lol
@VedantAdvait
10 ай бұрын
@@a_aysh Glad to see you. In which year?
Amazing channel. Lots of love❤
@datatab
Жыл бұрын
Many many thanks!!! Regards Hannah
thank you Ma'am... thanks a lot☺☺☺
Is it necessary to calculate p value in t test or we can reject or accept null hypothesis by critical value .
Very clear!
@datatab
Жыл бұрын
Glad you think so!
Very helpful. Thanks.
@datatab
3 ай бұрын
Glad it was helpful!
I have watched many videos of P-value but I am still confused about one thing. How does a smaller P-Value reject the null hypothesis? If all players actually had a height of 177 cm then we would get a smaller P-value, but still our Null Hypothesis should have been true. Can someone please help me out?
@theflyingnomad7103
7 ай бұрын
I'm not sure if she mentioned it in the video or not but hopefully this comment helps! Basically, the p-value is calculated assuming that the null hypothesis is TRUE. That means that, for this example, we are calculating the probability that our sample has a mean of 1.77m when we are assuming the entire population has a mean of 1.77 as well. This in turn means that our p-value would be 1 because there is a 100% chance that our sample has a mean height of 1.77m or greater when the entire population has a mean of 1.77m. This means that as the mean of our sample gets further away from 1.77m our p-value DECREASES because the chance of obtaining that value when the null hypothesis is true also DECREASES. Eventually, if you gain a value far enough away from 1.77 then the p-value would become so small that the null hypothesis simply couldn't be true. This then means that we can REJECT the null hypothesis because the p-value is so SMALL that it is near impossible to coincidentally gain those values. So for example, your sample has a mean of 3m, the likelihood of this happening when the mean of your population is 1.77 is super unlikely meaning that the p value will be super small. So small in fact that it would be unrealistic to consider the null hypothesis (the population having a mean of 1.77m) true and so we reject it. I hope that answers your question, if not just say and I'll give it another go :)!
@akshaysingh7962
7 ай бұрын
@@theflyingnomad7103 thanks a tonne😃 I was looking at it in a wrong way. Your explanation cleared my doubt completely.
@theflyingnomad7103
6 ай бұрын
@@akshaysingh7962 I'm glad I could help :)
@shreegummalla6394
6 ай бұрын
@theflyingnomad7103 thank you! I have an exam coming up and this has been the best explanation of p value I have ever seen. Thank you!
@alaskayd3514
6 ай бұрын
@@theflyingnomad7103thank youuuuuuuuuuuu
Excellent explanation
@datatab
3 ай бұрын
Glad it was helpful!
quality video!
@datatab
Жыл бұрын
Vielen Dank Thomas : ) Ja wir geben uns immer viel Mühe und es wird immer professioneller! Aber auch viel Arbeit : )
👍🏻
Long time no video
V.good ,continue it the same
@datatab
Жыл бұрын
Thanks : )
Unhelpful.
@datatab
8 ай бұрын
Thanks!
@Peter.F.C
8 ай бұрын
@@datatabYou're welcome.
Anybody who understands better to explain please😢
Long time no news from your valuable chanel