Why can't my professor teach like this? If I watched your videos for the same amount of total class time I've attended, I'd be an internationally renowned economist by now
you all probably dont care but does any of you know of a way to get back into an Instagram account?? I stupidly forgot my account password. I would appreciate any tips you can offer me
@Edison Anthony thanks for your reply. I found the site thru google and Im trying it out atm. I see it takes quite some time so I will get back to you later when my account password hopefully is recovered.
Hi All -- Thank you for all the wonderful comments! Because of the overwhelming response, I will gladly make more videos and put them online. Any requests as to what topics to cover next? Why did I disappear for four years? I made this video on a whim while I was waiting for my thesis defense, and then life got busy and I never checked it again. I moved and got a new job and just forgot all about it until now. Kind of a lame excuse, but there it is. Also, this is perhaps the first time I've seen a page of youtube comments that wasn't a cesspool of vitriol -- clearly we have a very classy set of viewers!
as a phd I instinctively KNEW this video was made by some fellow phd lol, and it turns out to be the case. one of the best explaination from someone who knows the deep math but chose to give a simple explaination
Hi Mr. Duke, my Statistics and Research Design lecturer put this video link up as part of the 'helpful resources' for the course and boy was it ever! The video was clear and concise and extremely helpful; your voice was crisp and clear. If my classmates would only take the time to watch this video, we would not feel so lost. Keep up the good work and thank you for posting.
This is amazing. Come back StatsCast! You were active for 2 weeks 2 years ago, made one of the best stat video explanations ever, and then left, and haven't been around since. Where did you go?!
This was awesome! Please make more videos explaining general concepts of stats please? Like Pearson correlations, chi-squared tests for independence, bivariate vs multivariable, multiple linear regression, cohen's d, and the different effect size info, just to name a few! I would love more background on this for my EBM course, thank you so much!
I have looked into 2 research/statistic books and got even more confused by the explanation. Your less than 10 minute video made me understand this common statistical tool. Subscribed, and many thanks. (thumbs-up)
I was about to turn away in disgust because I wasn't learning anything from the other videos, but thankfully, I stumbled upon your video. It's all so much clearer now. Thanks for sharing, dude.
excellent, Great explanation. Awesome. Thanks a lot from the core of my heart. You have made it simple in a way an average student can get it rather than speaking tedious languges. Thanks a lot @statscast.
This was really helpful man. I've spent the last 2-3 hours going over shit about t tests and chi squares exploding my brain. Finally this actually makes some sense.
Thanks for a very clear video. It did leave me wondering though why after 120 years statisticians have never bothered to come up with a conventional nomenclature for the various tests and concepts!
Thank you so much for such a straightforward and easy-to-understand explanation. I've read a couple of books and took a stats introductory class but I hadn't really understood the usefulness and meanings of t-test until I watched your video.
I'm probably being stupid and missing something really obvious, but at the end when you talk about writing t-test results, you say that that the degrees of freedom (99) is the sample size minus 1. I though that in this case degrees of freedom would be 2n minus 2 (n being the number of participants in each group, i.e. tetesterol group and placebo group. So it would be 100 minus 2, making the degrees of freedom 98. That's what I've been taught. Or at least I think it is :/ Again I'm sure I'm misunderstanding something and have this wrong, but if someone could explain that would be awesome. Great video by the way! Very helpful.
Hi Francis -- good question, and I wasn't entirely clear here -- my mistake. DF is the sample size minus one for each sample. So in an independent samples t-test, which has two samples, it would be N+N-1-1. For a paired-sample and one-sample t-test, it would be N-1.
Hey I want to say that I love you❤️ like seriously, I was trying to understand t-test for last 15 days and probably gonna break my head.. but you made me understand in just 10 minutes.. loads of love and thanks😘
What a clear and comprehensive comment! Very usefup - what a unusual word usefup, i learn a new english word every day - what is its definition? Please be usefup!!
Thanks!! Thanks!! Thanks :D best video I have ever seen. You re a legend! in 10 minutes you have fixed the mess I ve been having in my brain for too long...and now it s all clear :D amazing sensation! All the best for u and thanks again for your miraculous video
Fantastic explanation. Such a relief to listen to clear information ratherthan reading boring text books. I love it. Thanks. To all psychology students I feel your pain lol
I was confused at first, too. Assume all participants from the control and Tetesterol group had their cholesterol levels taken before the experiment. Then after that month of the experiment, they compared the before and after differences within the control group itself. And also, compared the before and after within the Tetesterol group.
Thanks so much! This was really clear and concise and helped me to understand. I was refered here from the announcements on the psyc page at uni, (For a good review summary of t-tests, be sure to check out this UA-cam offering "StatsCast: What is a t-test?") and I'm really glad I checked it out! I hope you add more videos!
Neither the calculation nor the raw values needed to do the calculation are shown here, but if I remember correctly from my college days, it's calculated by averaging the difference between each data point and the mean. So in group 1 the mean is 34: imagine patients had a cholesterol level of 22, 30, 32, 34, 36, and 40. That would mean each patient's difference from the mean would be -12, -4, -2, 2, and 6. If we add those all up and divide by the number of patients, we get... Oh hang on.... I think this rudimentary method doesn't account for the difference between positive and negative values, so you have to square each difference and then square root the resulting mean? I can't remember, I give up.
Yes. For a Chi squared test the degrees of freedom is equal to the number of possible outcomes minus one. So if you are rolling dice, you can have 6 possible outcomes. 5 would be the degrees of freedom. For the T-test it is the sample size minus one.
can you may give me a reference of the information shown in the video? This is the most helpful video for me, that put my thought in order and made me understand what i am doing! i hope that there is a book or article that you can refer me to. thank you in advance.
@2:24 difference between groups is 2 (36-34), fine, ok, clear. While the difference within the groups is ABOUT 6... HOW DID YOU GET THIS NUMBER ???? EXPLAIN please
Thanks this really helps as I know as much about statistics as I do about quantum physics, I even know more about the star ship enterprise transporter technology than stats! :)
Why can't my professor teach like this? If I watched your videos for the same amount of total class time I've attended, I'd be an internationally renowned economist by now
+Eyad Hamza because ur professor doesn't care whether u subscribe to his channel or not...lol
Truee
you all probably dont care but does any of you know of a way to get back into an Instagram account??
I stupidly forgot my account password. I would appreciate any tips you can offer me
@Kendall Joshua Instablaster =)
@Edison Anthony thanks for your reply. I found the site thru google and Im trying it out atm.
I see it takes quite some time so I will get back to you later when my account password hopefully is recovered.
Hi All -- Thank you for all the wonderful comments! Because of the overwhelming response, I will gladly make more videos and put them online. Any requests as to what topics to cover next?
Why did I disappear for four years? I made this video on a whim while I was waiting for my thesis defense, and then life got busy and I never checked it again. I moved and got a new job and just forgot all about it until now. Kind of a lame excuse, but there it is.
Also, this is perhaps the first time I've seen a page of youtube comments that wasn't a cesspool of vitriol -- clearly we have a very classy set of viewers!
Can you do one on multiple regression?
I agree with Amandeep, multiple regression would be amazing! Also, please do a video on ANOVA to add onto your video of the t-test.
Make one in Kai square test.
when writing up the results don't forget the t and p are meant to be in italic XD
Ammar Ashoor
its written chi-square or chi-squared, try searching for that.
"are you more likely to get heads in the future"
"no"
damn, that was brutal!!
Lord Wigglebottom don’t know why this doesn’t have more likes, it’s hilarious
I was looking for this exact comment, 😂 that explains why i'm on youtube looking dor courses right
It's only CHANCE =)) I am pretty sure he knows what he is doing
Hahahahaha
can borrow your brain from 8:30am to 10:30am tomorrow morning, i have an exam.
me too *cries a river
lol
So it's three years later, but I wanna know, how'd your test go?
Me too
Me too!
Wow. T-test couldn't be explained more clearly. Neat and straightforward. Brilliant. Thank you!
This was by far one of the best beginner stats videos I've come across
Amazing. Truly, great job. Not too fast, not too slow, not annoying, clear, great. Thks!
I have been trying to understand T-test for hours n hours, but u made it so simple in just roughly 9 minutes! Thank u so so much!
as a phd I instinctively KNEW this video was made by some fellow phd lol, and it turns out to be the case.
one of the best explaination from someone who knows the deep math but chose to give a simple explaination
Hi Mr. Duke, my Statistics and Research Design lecturer put this video link up as part of the 'helpful resources' for the course and boy was it ever! The video was clear and concise and extremely helpful; your voice was crisp and clear. If my classmates would only take the time to watch this video, we would not feel so lost. Keep up the good work and thank you for posting.
You are a wonderful teacher and I wish I could give you a cookie, but since I can't I will simply say: thank you!
This is amazing. Come back StatsCast! You were active for 2 weeks 2 years ago, made one of the best stat video explanations ever, and then left, and haven't been around since. Where did you go?!
This is the best t test explanation I have seen and I have spent hours and hours scouring resources. You are the best. Please make more videos!
this was the most helpful stats video I have ever seeen
This was awesome! Please make more videos explaining general concepts of stats please?
Like Pearson correlations, chi-squared tests for independence, bivariate vs multivariable, multiple linear regression, cohen's d, and the different effect size info, just to name a few!
I would love more background on this for my EBM course, thank you so much!
I have looked into 2 research/statistic books and got even more confused by the explanation. Your less than 10 minute video made me understand this common statistical tool. Subscribed, and many thanks. (thumbs-up)
My professor just needs to link this video and we'd be all good to go!
I was about to turn away in disgust because I wasn't learning anything from the other videos, but thankfully, I stumbled upon your video. It's all so much clearer now. Thanks for sharing, dude.
It was amazing! It is truly remarkable how you explain difficult and complex subjects in such understandable and clear ways!
thank you very much!!!!
Oh my gosh...you just made my semester. You rock at explaining this!!! I never in a million years thought I'd find such a great explanation!
THANK YOU. I have spent forever trying to understand this.
this is the best video about t-test ever..........thanks man
I have watched several video and this is the clearest. Please keep going...eg Chi, correlation, and NOVA.
The most helpful stats video I have ever seen! Thank you very much :)
Thanks for the video. I finally understood the t-test. Please keep uploading videos like this.
Thanks so much for this informative and very easy-to-follow video! You just help me put the finishing touches on a research project.
You deserve my professors job. Thank you good sir.
Excellent video. I will be teaching a stats class this fall and was looking for videos like yours!
so nice when topics are explained so easily like in this video. Thanks a lot!
ohh how wonderful this video is your vioce is calming. and you may have saved my exam now. thanks dude i owe you big! ur the best
excellent, Great explanation. Awesome. Thanks a lot from the core of my heart. You have made it simple in a way an average student can get it rather than speaking tedious languges. Thanks a lot @statscast.
This was really helpful man. I've spent the last 2-3 hours going over shit about t tests and chi squares exploding my brain. Finally this actually makes some sense.
This was the best explanation I've seen. Thank you! 🙏 How come you can not have two videos on your channel 😯. We need more!
Thank you! This was so helpful. I can say your teaching style and explanations are great!
I didn't realize t-test was so simple... Thanks very much
Please make more videos, your so calm and explain it so perfect!
Thanks for a very clear video. It did leave me wondering though why after 120 years statisticians have never bothered to come up with a conventional nomenclature for the various tests and concepts!
Wow! This is the best explanation I have encountered by far. I'd encourage you to make more videos.
Thank you so much for such a straightforward and easy-to-understand explanation. I've read a couple of books and took a stats introductory class but I hadn't really understood the usefulness and meanings of t-test until I watched your video.
You're the best person that has walked on this planet
Im having exam on Monday n think I'm blessed with this 😍😍 so smoothly explained 😍😍 thank god there r talented teacher atleast in UA-cam 😍
I have watched many videos relating to science on youtube and by far this is one of the best ones. Very well explained, truly a remarkable teacher.
Thank you. This video helps me a lot. I hope you can make other stats videos like this.
Really appreciate it. Many of my basic concepts are cleared now. Thanks!
Thank you for this, this has made everything so much clearer!
Short yet comprehensive.Thank you.
this is the best explanation i found so far .. more videos please
BEST VIDEO ON THIS SUBJECT ON THE INTERNET!
pls make more videos. we need someone like you . there are not many on YT
I'm probably being stupid and missing something really obvious, but at the end when you talk about writing t-test results, you say that that the degrees of freedom (99) is the sample size minus 1. I though that in this case degrees of freedom would be 2n minus 2 (n being the number of participants in each group, i.e. tetesterol group and placebo group. So it would be 100 minus 2, making the degrees of freedom 98. That's what I've been taught. Or at least I think it is :/
Again I'm sure I'm misunderstanding something and have this wrong, but if someone could explain that would be awesome.
Great video by the way! Very helpful.
Hi Francis -- good question, and I wasn't entirely clear here -- my mistake. DF is the sample size minus one for each sample. So in an independent samples t-test, which has two samples, it would be N+N-1-1. For a paired-sample and one-sample t-test, it would be N-1.
thanks so much for putting the video here! you made t-test so easy to understand.
Excellent for somebody who is trying to learn this stuff for the first time :)
Great video with clear explanation. Thanks!
what a clear way to explain a t-test. thanks.
You made it so simple and succinct. Thank you for sharing your knowledge.
Hey I want to say that I love you❤️ like seriously, I was trying to understand t-test for last 15 days and probably gonna break my head.. but you made me understand in just 10 minutes.. loads of love and thanks😘
i have been searching for gold but i Got diamond.Really awesome video.Content was very clear .Keep doing it pls
Thank you! This was a WONDERFUL explanation. Please consider posting more videos.
can I know how to calculate the '6' as variance within groups?? I dont get it /.\
same here!! How did he get 6??? :O
the highest number measured minus the lowest number measured in each group, I think that's how you get it
It`s simply given for this example,
there is no way to know the variance within the group just by the data we saw there
You should make more videos. This one is great
Exceptionally clear explanations.
That was such a clean and clear explanation. You are fabulous.
Clear and comprehensive explanation! Very usefup! Thank you!
What a clear and comprehensive comment! Very usefup - what a unusual word usefup, i learn a new english word every day - what is its definition? Please be usefup!!
Amelia rossiter hey, i love new york too. nice shorts by the way.
thank you! I was really struggling with this concept, now it is much clearer!
Thanks!! Thanks!! Thanks :D best video I have ever seen. You re a legend! in 10 minutes you have fixed the mess I ve been having in my brain for too long...and now it s all clear :D amazing sensation! All the best for u and thanks again for your miraculous video
@3:26 - how's the difference within the groups 6? Did not get that? Can anyone please explain 🙏
Fantastic explanation. Such a relief to listen to clear information ratherthan reading boring text books. I love it. Thanks. To all psychology students I feel your pain lol
You are fantastic. I thank you very much for making matters so clear. A great presentation.
Ok well, can you please explain where he got the '6' from? :)
Made the concept very clear. Thank you
Very clear and concise, thank you
Thank you very much for this video. I'm working on a Master's and was having some trouble fully understanding these concepts via self-study
The big question is
WHERE DID YOU GET 6?
I was confused at first, too. Assume all participants from the control and Tetesterol group had their cholesterol levels taken before the experiment. Then after that month of the experiment, they compared the before and after differences within the control group itself. And also, compared the before and after within the Tetesterol group.
Hey bro, you teach really good. I really appreciate your contribution. thanks so much!
Still don't get it :(
well then drop out of college and apply for rubbish collection services since your knowledge only surmounts to levels as low as that
kind regards
So easy to understand and thank you for making it so simple.
Also why there is no more stats videos ?
Thanks so much! This was really clear and concise and helped me to understand. I was refered here from the announcements on the psyc page at uni, (For a good review summary of t-tests, be sure to check out this UA-cam offering "StatsCast: What is a t-test?") and I'm really glad I checked it out! I hope you add more videos!
Thank you so much. You explain things so well. If I pass my exam tomorrow, it will be thanks to you! =)
Excellent video. It helped very much. I appreciate it.
You deserve a sub for "t-testerol" alone
You are a very good teacher
Do you have other vids?? I love this presentation and has opened my understanding. Thank you
how did you find difference within groups? why was it six in the first example?
Why is it 6?
Neither the calculation nor the raw values needed to do the calculation are shown here, but if I remember correctly from my college days, it's calculated by averaging the difference between each data point and the mean. So in group 1 the mean is 34: imagine patients had a cholesterol level of 22, 30, 32, 34, 36, and 40. That would mean each patient's difference from the mean would be -12, -4, -2, 2, and 6. If we add those all up and divide by the number of patients, we get... Oh hang on.... I think this rudimentary method doesn't account for the difference between positive and negative values, so you have to square each difference and then square root the resulting mean? I can't remember, I give up.
@@samramdani258 ass hole
@@c.s1393 Lol, sorry dawg! I thought at least it might help jog someone's memory.
@@samramdani258 haha,just playing
brilliantly presented. Well done.
Yes. For a Chi squared test the degrees of freedom is equal to the number of possible outcomes minus one. So if you are rolling dice, you can have 6 possible outcomes. 5 would be the degrees of freedom. For the T-test it is the sample size minus one.
This is very helpful! Thank you.
Thank you so much. This video was very useful ♥️
You are a great instructional designer :)
This was so so helpful, thank you!
Best explanations for t test
can you may give me a reference of the information shown in the video? This is the most helpful video for me, that put my thought in order and made me understand what i am doing! i hope that there is a book or article that you can refer me to. thank you in advance.
Simple and clear explanation
Good video. Now you just need more of them. Currently taking Business Analytics; hypothesis testing, regression etc...
@2:24 difference between groups is 2 (36-34), fine, ok, clear. While the difference within the groups is ABOUT 6... HOW DID YOU GET THIS NUMBER ???? EXPLAIN please
Too bad you stopped making videos...you have a nice way of communicating
this is really helpful. please please please keep uploading next lessons
Thanks for this super helpful video!!! I love the detail
Thanks this really helps as I know as much about statistics as I do about quantum physics, I even know more about the star ship enterprise transporter technology than stats! :)
exquisitely explained.
thank you for such an amazing video.