Student's t distribution

[muellman78]

Thank you sir...(from a Ph.D. holder)

[bigbabbys]

lifesaving as always!!

[Lisnageeragh]

Was the Students t distribution developed by a fellow who worked in Guinnesses?

[baronbaris07]

Great video but t alpha is not clear.

[tsugaconcolor]

Helped a lot - thanks.

[imdpower108]

bionicturtle.. my english isin't good enough to explain how much this video means to me..

[AllMightyBoB88]

This video helped me greatly! Thank you so much for doing this!

[benniboi231]

This video is pure gold...thank you so much!

[metaphysist]

Thank you for explaining this. I am trying to learn econometrics and this helps

[goranjebob]

good video. are you the voice of microsoft sam lol

[danycapetillo]

TNX a lot; it was very helpful l!!!!

[unpocodeam0r]

thank you!

[hispheekness]

tremendous videos. helpful for curious ppl

[Fishman0671]

Ok, this looks helpful for people that possess MS Office, but how do you calculate the critical t value using just a calculator?

[ranagan9]

@Fishman0671 you use the t distribution table and you can find your confidence limit that way

[magikk]

This series of mini-tutorials is amazing! Perhaps in the future you can structure this material in a couple of playlists that arranges it in the order it's supposed to be viewed. Thanks again for your work here.

[mp98]

Amazing, thank you so much.

[bbavdek]

Great video, thanks a lot. I work in customer support organization where we support different types of instuments. Nowadays more and more people participate in inter lab checks,e.g. they get 5 samples and return 10 measurements of each sample and reference lab calculates statistics. Sometimes they fail because of T test. Since ref. lab is not really able to enlighten me what exactly they do, it would really mean a lot if you could show me how you would approach and explain the statistics.

[rfvo]

to continue...can one not assume that since the distribution is less/more peak than a normal distribution that the tail will be fatter/thinner, but that it rather depends on the type of distribution?

[bionicturtledotcom]

Thanks for your kind feedback. I agree with you: i think peakedness is not the key feature. IMO, leptokurtosis refers to HEAVY TAIL. And the feature has not to do with the peak, but rather that extreme outcomes are more likely than normal; e.g., =TINV(1%*2, d.f.) < NORMSINV(1%). The student's t is lepto b/c 1% outcomes are further away (conversely, same distance from mean has higher probability). Thanks for good thought! David

[rfvo]

Hello David, thanks for posting another great demonstration, everything seems to make sense, however was hoping you could shead some light on a particular issue? It states the T-Distribution is less-peaked than the normal distribution and hence to will have a fatter tail(i.e. more probability in the tails).

Now this is where i start to get confused, because when we deal with a Platykurtosis distribution it states that it less peaked and is characterized with a THIN tail?

[elphau]

i've been viewing some of your videos... all are great and extremely helpful !! big thanks!

[chichat2007]

big thanks from a statistic student.

[smooth3331]

you are an amazing professor

[cesarciro24]

THanks. I´m looking for the Generalized t Distribution. Do you have a class of it?