As a current engineering student who loves weightlifting I loved the correlations you made to sports in your examples made me way more attentive and interested to learn
I am only 6 minutes in, and I am already deeply grateful for the clarity. When you described the mean difference as the signal, and the SEM as noise, and that the less noise there is, the stronger the signal... 🤯... thank you, sir, you have such a gift.🙏🏽 Excited to watch the rest.
I was definitely a little more stressed about t-tests but you broke all of the concepts down and made bullet points which helped me understand it a bit better!
I really liked that there were explanations and example for each type of t test, made it a lot easier to understand not only how to calculate them but what they actually mean.
Thank you for explaining the difference between an independent t test and a paired t test. I also liked how the lecture this week helped me better understand the article we reviewed this week
The preface for the three different types of T-tests was really helpful in prepping me and giving me a good idea of what I was going to learn in the rest of the video.
This was super helpful. I hear the word t-test all the time and have a slight understanding of what they are but this was super helpful to learn the different types and when to use those types
I really enjoyed watching this video and seeing the examples of the t-test. The information was very clear in the video and I will definitely be using this as a resource to look back on!
Dr. Goodin, Thank you for these awesome video. I was able to use this in the discussion and to make corrections or changes in this weeks resubmission assignment
Thank you for the video this has greatly helped my understanding of the t-test, however the everyday situations where it can be applied was just as beneficial. -Alex
Blessings! Can you please explain when to reject and not reject the null hypothesis? When using the Levene test, for example? And in when to reject/not reject? Thank you, I offer you Love and Kindness
I thought I had learned about or worked with a tTable before, but after seeing an image of one, I'm not so sure I have. I did not know there were different types of tTests either.
Interesting that an athletic trainer would sprain everyones ankles for independent sample t-tests, but I guess research is research hahahah. Great video Dr. Goodin, very helpful!(If your wondering what I'm referencing, its @ 14:49)
Great Video, thank you! If I wanted to test a wind sensor being used in the field against a known calibrated wind sensor (the transfer standard). If I collocate the two sensors and let them collect data for 2 days I could run a t-test from their data to tell if there is variation between the two data sets. My question is: Would this be an UNPAIRED t-test? or something else?
For the unpaired (independent) t-test, the slide shown during 15:00 to 15:30 adds the squared standarad errors for the two samples. Should the denominator for the 2nd fraction be N2 instead of N1? AFTERNOTE: Found the answer to whether the 2nd fraction should be N2. The fact is that both sample sizes are the same. At 19:45, you talk about different sample sizes, and the formula for standard error of the difference is much more complicated than shown in 15:00 to 15:30. This means that the corresponding formula in another video about unpaired t-tests is also incorrect: th-cam.com/video/2o4UDqCVMGg/w-d-xo.html (at the 2:20 mark). I have not found the source of the more complicated formula for standard error of the difference at 19:45, but the following video provides some methods of handling different sample sizes for the unpaired t-test: th-cam.com/video/OyB_w4XNQ58/w-d-xo.html. A major option is using Welch's t-test, which I have yet to read up on.
I was a little overwhelmed at first with all of this information but all of the examples really helped. Great job explaining and breaking everything down.
Through all of these videos I feel like I’ve seen a sort of trend with how mean is used. Mean (and other basic ideas) seem to be the basis for all of these other equations and terms.
![ตีสิบเดย์ [FULL] | ตัวตึง! ปากกล้า! ท้ารบ! "ทนายไพศาล เรืองฤทธิ์"](http://i.ytimg.com/vi/pU3dXTsaBVc/mqdefault.jpg)
As a current engineering student who loves weightlifting I loved the correlations you made to sports in your examples made me way more attentive and interested to learn
I am only 6 minutes in, and I am already deeply grateful for the clarity. When you described the mean difference as the signal, and the SEM as noise, and that the less noise there is, the stronger the signal... 🤯... thank you, sir, you have such a gift.🙏🏽 Excited to watch the rest.
I was definitely a little more stressed about t-tests but you broke all of the concepts down and made bullet points which helped me understand it a bit better!
I really liked that there were explanations and example for each type of t test, made it a lot easier to understand not only how to calculate them but what they actually mean.
I really appreciate how much depth and explanation you gave for each of the three different T test and had examples of real life application.
There was a lot of information included in this video, but you kept it very organized and clear to understand! Thank you!
man I felt those breaths of relief after that video. it was a lot of info, but you made t-tests really simple and easy to understand!!
The most brilliant video on the internet explaining the concept of t-test! I must confess
The breakdown of the three types of t tests was super helpful and easy to follow along with.
I found the summary of the 3 types of t-tests helpful to see before going into depth about each t-test. Thank you!
The way you went over the differtn types of t-tests and a breakdown of how to calculate them was really helpful.
Thank you for explaining the difference between an independent t test and a paired t test. I also liked how the lecture this week helped me better understand the article we reviewed this week
It's so helpful to have such a well organized and clear video to go in depth of a difficult topic, thank you
you, my friend, are a true legend. thank you for helping me pass my midterm.
I really like how deep of an explanation you give on each of the different types of T tests.
Dr. Goodin, it was helpful to see you explain the different types of t-tests, and it helped me understand when I would use them.
The preface for the three different types of T-tests was really helpful in prepping me and giving me a good idea of what I was going to learn in the rest of the video.
t Test, not to be confused with the agility T-Test lol. Great video! Love the illustrations as always.
Rochelle that is an EXCELLENT kinesiology joke. I'm a little sad that I didn't say that in the video.
@@DrJacobGoodin I won’t trademark it so that you can use it next semester! 💁🏻♀️😂
This was super helpful. I hear the word t-test all the time and have a slight understanding of what they are but this was super helpful to learn the different types and when to use those types
Thank you for going in depth with the examples and making sure that you covered everything. Everything was very clear!
These videos really are helpful to be able to come back to for the assignments when I get stuck on something or have a lapse in memory.
Thank you again for giving us such a well organized and detailed video. It helps a lot, especially with such a difficult and specific section
Thank you for making this video so clear and concise! It definitely was a little intimidating at first but I started to get it towards the end.
I really enjoyed watching this video and seeing the examples of the t-test. The information was very clear in the video and I will definitely be using this as a resource to look back on!
Thank you for this video. I really liked how you broke down the different types of T-tests and showed how to calculate them. This was really helpful!
Everything I have learned in stats is all coming together and making more sense now! Especially in this video
Dr. Goodin,
Thank you for these awesome video. I was able to use this in the discussion and to make corrections or changes in this weeks resubmission assignment
Thank you for explaining in depth about different t-tests. I appreciate the example problems after each slide to get a better representation.
I liked seeing the cause and effect relationships that were given through the examples in the video.
Very helpful video. It was a long one but the time codes really helped so that I could go over a few of the parts I didn't quite understand at first.
Love your bloopers every time! Thank you for such a great video!
Thank you for explaining The different t Tests. You made it very clear!
Overall great video the examples used were very helpful in explaining T test.
This was a very helpful video to me, really explained t-tests well and how they can be used, thank you!
this was a really easy to follow along type of video thank you for breaking down t tests!
Thank you for the video this has greatly helped my understanding of the t-test, however the everyday situations where it can be applied was just as beneficial.
-Alex
Thank you! This was very helpful and well organized.
Thanks it's good knowing more about T scores.
_So_ good
Thanks for breaking down the t tests
I really liked how you went over different kinds of examples and all of the types of t tests.
Blessings! Can you please explain when to reject and not reject the null hypothesis? When using the Levene test, for example? And in when to reject/not reject? Thank you, I offer you Love and Kindness
I thought I had learned about or worked with a tTable before, but after seeing an image of one, I'm not so sure I have. I did not know there were different types of tTests either.
Good teaching
Interesting that an athletic trainer would sprain everyones ankles for independent sample t-tests, but I guess research is research hahahah. Great video Dr. Goodin, very helpful!(If your wondering what I'm referencing, its @ 14:49)
It came out from nowhere 🤣
Great Video, thank you! If I wanted to test a wind sensor being used in the field against a known calibrated wind sensor (the transfer standard). If I collocate the two sensors and let them collect data for 2 days I could run a t-test from their data to tell if there is variation between the two data sets. My question is: Would this be an UNPAIRED t-test? or something else?
I thought overall a great explanation on t-test I was nervous because they seemed a bit stressful at first.
For the unpaired (independent) t-test, the slide shown during 15:00 to 15:30 adds the squared standarad errors for the two samples. Should the denominator for the 2nd fraction be N2 instead of N1?
AFTERNOTE: Found the answer to whether the 2nd fraction should be N2. The fact is that both sample sizes are the same. At 19:45, you talk about different sample sizes, and the formula for standard error of the difference is much more complicated than shown in 15:00 to 15:30. This means that the corresponding formula in another video about unpaired t-tests is also incorrect: th-cam.com/video/2o4UDqCVMGg/w-d-xo.html (at the 2:20 mark).
I have not found the source of the more complicated formula for standard error of the difference at 19:45, but the following video provides some methods of handling different sample sizes for the unpaired t-test: th-cam.com/video/OyB_w4XNQ58/w-d-xo.html. A major option is using Welch's t-test, which I have yet to read up on.
When using z scores, it tends to be more inaccurate, so we use t scores with smaller sample sizes
I was a little overwhelmed at first with all of this information but all of the examples really helped. Great job explaining and breaking everything down.
There is a lot of information for understanding t-tests. This video is great in breaking it down for us however.
The t test is used for smaller sample sizes because t distributions are similar in shape to normal distributions.
Hi Jacob, I think you got your distributions mixed. The blue one looks too leptokurtic to be a Gaussian.
On the longer side, nonetheless was very informative.
Through all of these videos I feel like I’ve seen a sort of trend with how mean is used. Mean (and other basic ideas) seem to be the basis for all of these other equations and terms.
T-tests ain't looking that bad 😌