@DaisyExodus Thanks. We are busy remaking some of these so we aren't breaking copyright (!) And making some more. We are also putting them into an iPad app, along with intereactive quizzes to help people learn. SO thanks for the encouragement. We really appreciate it.
The new videos will be at CreativeHeuristics Youtube channel, and the app will by AtMyPace:Statistics. Tell your friends.
The p value seems to be calculating a probability AFTER the data is in. In other words, it's producing a probability after the random event concludes. But after the data is in, there is no probability anymore. It seems the probability that I received my data, or something more extreme, after the data has been received, is 1. Seems odd.
@palui The P-Value is technically the probability of extreme or more exteme of getting an observation like the one actually observed in your study/experiment when the null-hypothesis is true. For instance, suppose I ran 20 studies and our alpha level is 0.05 level. What does this mean? It means that if you run the study 20 times you would get a statistically significant result at the P=0.05 significance level only by pure luck.........
@IceAges14Aces I had figured out my error after I had made my comment. Thanks for your reply. However, your reply isn't worded correctly. The p value can be described as: In all possible random repeated samples of size n from a population for which the null were true, the proportion of times for which your test statistic was as large or larger than the value realized in your observed data is the p-value. p=0.05 has nothing to do with running a study 20 times.
0.2578 is the p-value I got when I manually tried to calculate this. I used the sample deviation and looked at the Z table, I thought of looking at the t-table but I wouldnt know about that because I dont have an alpha.
Well done. What you say is correct in essence, though a bit dodgy in terminology (even by my standards). You've got it. Just remember the probability is of getting that result, even though we act as if it is the probability that the alternative hypothesis is true.
@UCMSCI Thanks a lot...actually, I'm a man of medicine, and statistice is a completely new thing for me, thus I had to put in a lot of thought in it, in my own way...but thanks a lot...you're an angel...
OK...this is what I've understood, and kindly correct me if I'm wrong:
If p-value is low, there is a LOWER probability that your alternative hypothesis (Ha) tested on the basis of chance or luck, which means, there is a LOWER probability that Ha was incorrect...and thus a HIGHER probability that your Ha was correct, and as Ha was correct, Ho is incorrect, in other words:
Low p-value, low probability of luck or chance in Ha, Higher credibility for Ha (and thus lower favor for Ho)
This video is about understanding the p-value. Actually getting one is quite a different story. In this example we are using Excel.
It's a bit tricky in Excel as it doesn't have a test for a mean compared with a value.
Make one column with the 5 numbers: 73, 70, 65,68,69. Then make another column with 70,70,70, 70, 70. Then use the data analysis addin and do T-test two sample assuming unequal variances, and look at the p-value for the one-tailed test. (you asked!)
Now i understand,I like the wording: "there is no enough evidence to reject the null hypothesis" rather than the usual "not statistically significant."
Can you explain, when using excel, when it is necessary to use 1-p (i.e. 1- the pvalue given by excel) instead of p? I understand that it depends on the null and alternative hypotheses you are testing, but am still confused.
That is something I like to ask. Do you know how to calculate the p-value by hand? Any formula? I know how to do it on a calculator but not by hand. Also, from my calculator, I get a t value.
Comparing this value with the critical t-value, is there anyway I can determine whether I can reject or fail to reject my null hypothesis WITHOUT the p-value? What does that t-value tell me?
Null hypothesis is the hypothesis which is tested for possible rejection, under the assumption that it is true. i believe helens null hypothesis shud be that choco nutties are not as they shud be.
Thank you very much, this helped a lot. I'm struggling with statistics and this was a lovely change from all the jargon i'm used to from numerous text books.
My Stat's class were taught the P-Value in August I never actually learned it until today when I watched your Video...THANKS I don't feel dumb anymore!
It's a bit tricky in Excel as it doesn't have a test for a mean compared with a value.
Make one column with the 5 numbers: 73, 70, 65,68,69. Then make another column with 70,70,70, 70, 70. Then use the data analysis addin and do T-test two sample assuming unequal variances, and look at the p-value for the one-tailed test. (It's easier in a proper statistics package).
@vinzbrain I'm afraid statistics is far from precise. In fact the choice of alpha is a remnant from when p-values were difficult to calculate. Really we look at the size of the p-value and judge from that.
This an entertaining way to express P value to those who already knew what P value is.
This is NOT an entertaining way of explaining P value, Worst explanation ever. Your visuals are not aiding the explanation, instead confusing the audiences with cliches.
I'm sorry this didn't work for you. It is designed to be viewed as part of a course in statistics, and generally people need several different explanations to grasp this rather difficult concept. So I guess it is more about reinforcing the concept than an introduction to what the p-value is. You may prefer a more mathematical approach, for instance. My students really appreciated the "p is low, null must go", which I picked up from another Youtube video.
Most entertaining explanation of P values I have seen! You have been able to explain a very difficult concept in a straight forward and interesting way. Cheers
"p is low, null must go" <-- love it
flukemate 1 week ago
Well put together , thanks for the video, it was very helpfull
fhealer1 3 weeks ago
helped greatly, cheers!
SuperMrLahlou 2 months ago
I wish all my lectures were like this...
DaisyExodus 3 months ago 5
@DaisyExodus Thanks. We are busy remaking some of these so we aren't breaking copyright (!) And making some more. We are also putting them into an iPad app, along with intereactive quizzes to help people learn. SO thanks for the encouragement. We really appreciate it.
The new videos will be at CreativeHeuristics Youtube channel, and the app will by AtMyPace:Statistics. Tell your friends.
UCMSCI 3 months ago
youtubing stats stuff while trying to cram for test. See pheonix wright in thumbnail. ... ... ... It's 3 AM.
LastDodosaur 3 months ago
But how do you work out the p-value?
efb420 6 months ago
@efb420 If you look at my response to @mmmcr00 above, you can see how. Generally the computer package works it out, and we interpret it.
UCMSCI 5 months ago
The p value seems to be calculating a probability AFTER the data is in. In other words, it's producing a probability after the random event concludes. But after the data is in, there is no probability anymore. It seems the probability that I received my data, or something more extreme, after the data has been received, is 1. Seems odd.
palui 6 months ago
@palui The P-Value is technically the probability of extreme or more exteme of getting an observation like the one actually observed in your study/experiment when the null-hypothesis is true. For instance, suppose I ran 20 studies and our alpha level is 0.05 level. What does this mean? It means that if you run the study 20 times you would get a statistically significant result at the P=0.05 significance level only by pure luck.........
P=0.05 means 1 in 20.
IceAges14Aces 3 months ago
@IceAges14Aces I had figured out my error after I had made my comment. Thanks for your reply. However, your reply isn't worded correctly. The p value can be described as: In all possible random repeated samples of size n from a population for which the null were true, the proportion of times for which your test statistic was as large or larger than the value realized in your observed data is the p-value. p=0.05 has nothing to do with running a study 20 times.
palui 3 months ago
@palui I was giving you an example of what P=0.05 means, not that P=0.05 is always 20 studies.
You're definition of the P-Value is correct by the way.......
IceAges14Aces 3 months ago
Death note!
TradingTutor 7 months ago
Feenie Wright in this vis makes it 10x more awesome.
PhoenixWright1000 10 months ago
Are you a Kiwi? Sounds like it!
KRKbert 10 months ago
@KRKbert Yus.
UCMSCI 8 months ago 6
Helen?
That's a guy.
Yngwiaever 10 months ago
I hate finals. This vid helps a lot.
JoeDaPlumber 10 months ago
0.2578 is the p-value I got when I manually tried to calculate this. I used the sample deviation and looked at the Z table, I thought of looking at the t-table but I wouldnt know about that because I dont have an alpha.
mysteryg 1 year ago
@babish82
Well done. What you say is correct in essence, though a bit dodgy in terminology (even by my standards). You've got it. Just remember the probability is of getting that result, even though we act as if it is the probability that the alternative hypothesis is true.
UCMSCI 1 year ago
@UCMSCI Thanks a lot...actually, I'm a man of medicine, and statistice is a completely new thing for me, thus I had to put in a lot of thought in it, in my own way...but thanks a lot...you're an angel...
babish82 1 year ago
OK...this is what I've understood, and kindly correct me if I'm wrong:
If p-value is low, there is a LOWER probability that your alternative hypothesis (Ha) tested on the basis of chance or luck, which means, there is a LOWER probability that Ha was incorrect...and thus a HIGHER probability that your Ha was correct, and as Ha was correct, Ho is incorrect, in other words:
Low p-value, low probability of luck or chance in Ha, Higher credibility for Ha (and thus lower favor for Ho)
right?
babish82 1 year ago
why is it that the smaller the p-value the greater the evidence against Ho??
mmmcr00 1 year ago
@mmmcr00
Because a small p-value is a small probability, which means that it is unlikely to get this value just by chance if the null hypothesis were true.
The smaller the p-value, the less probability that it was by chance - thus more evidence that the null hypothesis can't be true.
You may wish to watch the video again - it is a very strange concept.
UCMSCI 1 year ago
but HOW do you get 0.24?????? they all just say the p-value yet never bother to explain HOW they got it.....howwwwwwwwww???
mmmcr00 1 year ago
@mmmcr00
This video is about understanding the p-value. Actually getting one is quite a different story. In this example we are using Excel.
It's a bit tricky in Excel as it doesn't have a test for a mean compared with a value.
Make one column with the 5 numbers: 73, 70, 65,68,69. Then make another column with 70,70,70, 70, 70. Then use the data analysis addin and do T-test two sample assuming unequal variances, and look at the p-value for the one-tailed test. (you asked!)
UCMSCI 1 year ago
@mmmcr00 get the casio fx-9750 gii and ull be set
puttjattda101 11 months ago
Good explanation but why this riduculous animation? It serves no purpose and is just confusing...
phidelio82 1 year ago
thanks you, this is really helpful to me (and many others as I can see =D )
p0sta 1 year ago
This should be shown in school. So easy to understand and so important if you are involved in statistics
ForEsmee 1 year ago
Now i understand,I like the wording: "there is no enough evidence to reject the null hypothesis" rather than the usual "not statistically significant."
HanyauntukAllah1 1 year ago
MELLO! Oh my gosh this is awesome! If math was taught like this I'd love it a little more.
guitargeekette 1 year ago
Can you explain, when using excel, when it is necessary to use 1-p (i.e. 1- the pvalue given by excel) instead of p? I understand that it depends on the null and alternative hypotheses you are testing, but am still confused.
MiyaviDas 1 year ago
P is low, H0 must go
easy to remember
thx
jeroenve 1 year ago
That is something I like to ask. Do you know how to calculate the p-value by hand? Any formula? I know how to do it on a calculator but not by hand. Also, from my calculator, I get a t value.
Comparing this value with the critical t-value, is there anyway I can determine whether I can reject or fail to reject my null hypothesis WITHOUT the p-value? What does that t-value tell me?
Tentenlaw 1 year ago
Null hypothesis is the hypothesis which is tested for possible rejection, under the assumption that it is true. i believe helens null hypothesis shud be that choco nutties are not as they shud be.
rishime7 1 year ago
I think you're accent is great...sounds kiwi to me...
Maoribrotha 1 year ago
THANK YOU !! you made us pass our EXAM YAYY!!! great explanation :)
caaantttiii76 1 year ago
Fantastic, clear, and funny!
mriwilis 1 year ago
OMG That's not helen, it's mello!! :D Anyway thanks a lot for this simple and easy to understand fun demonstration!
NeroIstaffer 1 year ago
how cool! thank you ! and now the t-test
libreallemagne 1 year ago
This was quite helpful. Thank you. On a side note, it's amusing that Mello (a boy in the anime) turned into a girl in this video.
midnightroz 1 year ago
Great work.
tufafaku 1 year ago
this is a life saver. thanks. but our stupid university doesn't allow excel during tests so i still dont know how to manually get the p value! :(
neusdadt 1 year ago
@neusdadt the way to find the p-value is:
z= (expected - observed)/SD
hope this helps!
MoreMusicXx 1 year ago
damn... i in love with u :P and also because of the accent
Faisdragon 1 year ago
Comment removed
SuperAkebono 1 year ago
Thank you very much, this helped a lot. I'm struggling with statistics and this was a lovely change from all the jargon i'm used to from numerous text books.
5 Star :)
MrGreenGrinch 2 years ago
I love the accent!
A21Joker 2 years ago
Very nice.
robooJack 2 years ago
What's a statustic?
superdaveXtreme 2 years ago
My Stat's class were taught the P-Value in August I never actually learned it until today when I watched your Video...THANKS I don't feel dumb anymore!
pepbean 2 years ago
I saw your talk at INFORMS this afternoon and loved it. Very cute and informative.
79supersarah 2 years ago
LOL Death note...
opiates 2 years ago
This is great stuff - maths as it should be....
practical, interesting , informative and with a touch of humour
frankg56 2 years ago 6
can you or someone here explain how you got the value you did for the p value
zaynahmed 2 years ago
It's a bit tricky in Excel as it doesn't have a test for a mean compared with a value.
Make one column with the 5 numbers: 73, 70, 65,68,69. Then make another column with 70,70,70, 70, 70. Then use the data analysis addin and do T-test two sample assuming unequal variances, and look at the p-value for the one-tailed test. (It's easier in a proper statistics package).
UCMSCI 2 years ago
Great Job!! I understand!!
ovrjoyed 2 years ago
That is great news.
UCMSCI 2 years ago
I tried to learn...now I'm dieing of laughter once you mentioned "Choco Nutties"
...and i have my AP Exam tomarrow
LBMiller79 2 years ago
Ho: This video isn't cool
(p<0.05)
vinzbrain 2 years ago 30
lol - you obviously got it
UCMSCI 2 years ago
Ho: This video is awesome
H1: This video isn't awesome
(p>0.05),
As p>0.05, There is no significant evidence to reject the null hypothesis, therefore we fail to reject the null hypothesis. :)
TerrawindX2 2 years ago
@vinzbrain to be precise alpha>=0.05
yzy010858 3 months ago
@yzy010858
isn't it that you fix alpha to whatever value you want and then test p against your alpha?
If that is true then I am not sure if you are being very precise
vinzbrain 3 months ago
@vinzbrain I'm afraid statistics is far from precise. In fact the choice of alpha is a remnant from when p-values were difficult to calculate. Really we look at the size of the p-value and judge from that.
UCMSCI 2 months ago
Thank you!
lavedon 2 years ago
This has been flagged as spam show
this is good, theres some other good videos on tutormetvdotcom. It helped me with my midterms
ljuarez714 2 years ago
p is low, null must go, haha i will appreciate it in my next exam, thank you
frankXwhite 3 years ago
lmao nice touch with the death note scenes xD
IbanezRG7321 3 years ago
Thanks - most of our other videos use deathnote pictures too.
UCMSCI 3 years ago
cheers mahlady!!
TIMWISDOM 3 years ago
I liked it
the other videos ive seen have a riddic. amount of pretentious - smarter than thou feel.
=)
waqasy 3 years ago
This is a disaster
This an entertaining way to express P value to those who already knew what P value is.
This is NOT an entertaining way of explaining P value, Worst explanation ever. Your visuals are not aiding the explanation, instead confusing the audiences with cliches.
moxinghbian 3 years ago
I'm sorry this didn't work for you. It is designed to be viewed as part of a course in statistics, and generally people need several different explanations to grasp this rather difficult concept. So I guess it is more about reinforcing the concept than an introduction to what the p-value is. You may prefer a more mathematical approach, for instance. My students really appreciated the "p is low, null must go", which I picked up from another Youtube video.
UCMSCI 3 years ago
w00t! P-Values baby!
dc2k404 3 years ago
Thanks a lot this p value thingy is becoming clearer and clearer to me..
sidiqmk 3 years ago
Most entertaining explanation of P values I have seen! You have been able to explain a very difficult concept in a straight forward and interesting way. Cheers
brendan1222 3 years ago 2
Nice video, these always help eh ! cheers UC
thesheeple 3 years ago