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!
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.
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
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?!
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.
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)
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.
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!
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!
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.
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.
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
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😘
@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
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.
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.
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!!
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.
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 RUclips offering "StatsCast: What is a t-test?") and I'm really glad I checked it out! I hope you add more videos!
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.
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
Hi! Thank you for this video, very helpful! I have two question: let's say I could not reject me Null hypothesis. So my groups are not significantly different from each other, correct? Or does that actually mean that I can not say for sure if they are different? Can I test for the opposite, meaning: are my groups the same? Thanks in advance!
What is often omitted is the idea that you can only reject the "Null Hypothesis". But, there is always the "Research Hypothesis". Typical one-tailed tests are designed to support the Research Hypothesis. Any "Design of the Experiment" - should include a full discussion of this issue.
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.
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! :)
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
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.
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
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
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!
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?!
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.
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)
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!
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.
My professor just needs to link this video and we'd be all good to 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!
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!
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!
You deserve my professors job. Thank you good sir.
It was amazing! It is truly remarkable how you explain difficult and complex subjects in such understandable and clear ways!
thank you very much!!!!
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 watched several video and this is the clearest. Please keep going...eg Chi, correlation, and NOVA.
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 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.
this is the best video about t-test ever..........thanks man
You're the best person that has walked on this planet
Thanks for the video. I finally understood the t-test. Please keep uploading videos like this.
THANK YOU. I have spent forever trying to understand this.
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.
Excellent video. I will be teaching a stats class this fall and was looking for videos like yours!
@3:26 - how's the difference within the groups 6? Did not get that? Can anyone please explain 🙏
I didn't realize t-test was so simple... Thanks very much
Im having exam on Monday n think I'm blessed with this 😍😍 so smoothly explained 😍😍 thank god there r talented teacher atleast in RUclips 😍
Thanks so much for this informative and very easy-to-follow video! You just help me put the finishing touches on a research project.
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 should make more videos. This one is great
Excellent for somebody who is trying to learn this stuff for the first time :)
Thank you! This was so helpful. I can say your teaching style and explanations are great!
this was the most helpful stats video I have ever seeen
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😘
Please make more videos, your so calm and explain it so perfect!
so nice when topics are explained so easily like in this video. Thanks a lot!
Wow! This is the best explanation I have encountered by far. I'd encourage you to make more videos.
pls make more videos. we need someone like you . there are not many on YT
Thank you. This video helps me a lot. I hope you can make other stats videos like this.
The most helpful stats video I have ever seen! Thank you very much :)
This was the best explanation I've seen. Thank you! 🙏 How come you can not have two videos on your channel 😯. We need more!
Short yet comprehensive.Thank you.
@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
this is the best explanation i found so far .. more videos please
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
That was such a clean and clear explanation. You are fabulous.
BEST VIDEO ON THIS SUBJECT ON THE INTERNET!
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
what a clear way to explain a t-test. thanks.
Exceptionally clear explanations.
Great video with clear explanation. Thanks!
Thank you so much. You explain things so well. If I pass my exam tomorrow, it will be thanks to you! =)
i have been searching for gold but i Got diamond.Really awesome video.Content was very clear .Keep doing it pls
thanks so much for putting the video here! you made t-test so easy to understand.
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.
Really appreciate it. Many of my basic concepts are cleared now. Thanks!
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.
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
Thank you! This was a WONDERFUL explanation. Please consider posting more videos.
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.
You made it so simple and succinct. Thank you for sharing your knowledge.
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
Thank you for this, this has made everything so much clearer!
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 RUclips offering "StatsCast: What is a t-test?") and I'm really glad I checked it out! I hope you add more videos!
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
Made the concept very clear. Thank you
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? :)
You deserve a sub for "t-testerol" alone
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.
Very clear and concise, thank you
thank you! I was really struggling with this concept, now it is much clearer!
despite of terrible quality of voice, it was good and simple description!
03:40 the difference within the groups is 6? how?
Oh you're awesome 🥺❤️
Wish u can explain more subjects
this is really helpful. please please please keep uploading next lessons
Mind blowing explanation 🎉
You are a very good teacher
Good video. Now you just need more of them. Currently taking Business Analytics; hypothesis testing, regression etc...
Hey bro, you teach really good. I really appreciate your contribution. thanks so much!
how did you find difference within groups? why was it six in the first example?
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
Hi! Thank you for this video, very helpful!
I have two question: let's say I could not reject me Null hypothesis. So my groups are not significantly different from each other, correct? Or does that actually mean that I can not say for sure if they are different?
Can I test for the opposite, meaning: are my groups the same?
Thanks in advance!
What is often omitted is the idea that you can only reject the "Null Hypothesis". But, there is always the "Research Hypothesis". Typical one-tailed tests are designed to support the Research Hypothesis. Any "Design of the Experiment" - should include a full discussion of this issue.
Very good and detailed explanation in short
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.
brilliantly presented. Well done.
You are a great instructional designer :)
Too bad you stopped making videos...you have a nice way of communicating
Have a dissertation due in 2 days and now I FINALLY know what the t-test means!! XD
loved the perfect explaination
plz make more videos
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! :)
Simple and clear explanation
Do you have other vids?? I love this presentation and has opened my understanding. Thank you