Hi again, Dave. Thank you for your end message. I used to think that graduating from university was something impossible. Now I know it will happen for me too. I hope that everyone else who reads this, sooner or later, accomplishes the same thing and more...
Ho u= 150 H1 u >150 Null hypothesis is equal to 150 or it can be below 150 and for rejecting null hypothesis Alternative hypothesis must be greater than 150 ... if alternatives is lesser than 150 but then also it will not be rejected because in alternative >150
Great explanations. However, one correction needs to be made. The pictures that are used as examples really need to be flipped. The women is very pregnant (true), but being rejected, should be the type-1 error. The man who is clearly not pregnant (untrue ), but being told he is pregnant, (not rejected) is a type-2 error.
@20:16, I think the errors are same (Type 2 Error) for both images. Male Image: NULLHYP="You're Pregnant", which is not rejected when it is untrue (He is not pregnant). Female Image: NULLHYP="You're not Pregnant", which is not rejected when it is untrue (She is Pregnant) Kindly Correct me if I'm wrong or acknowledge if it's the vice versa.
Thanks for your comment. The null hypothesis is what is assumed true until proven otherwise. That is, we assume someone is not pregnant until proven otherwise with medical tests. Does this help?
$10.00 for the actual lecture. Do not waste 30 minutes watching this if you do not have the money to pay for him to really explain what you need to know beyond the very simple basics of understanding.
Ahhh next lecture not on ur playlist ?? Ur the only one who actually knows what they are saying... all else just take turns regurgitating the same crap
Hi my viewers! Are you in need of an online tutor? If so, check out the video description for details 😊
Finally a teacher who can teach! What would we do without such people?
Hi again, Dave. Thank you for your end message. I used to think that graduating from university was something impossible. Now I know it will happen for me too. I hope that everyone else who reads this, sooner or later, accomplishes the same thing and more...
Wishing you all the best in your studies and career :)
out of a whole month of being lost in class, this 30min video literally caught me up to speed!
+David Acevedo That great to hear David! And thanks for purchasing my course on Udemy :)
Good luck with your studies!
ruclips.net/video/SwlAbYS61pE/видео.html try this easier and simple way to learn hypothesis testing
oh my god thank you. i am really struggling with my online stats course and your videos are the only thing that has helped me.
😂😂😂Success
This is the best video on this topic that I’ve ever seen!
Have never heard someone explain so clearly on Hypothesis than he did, best of all he has metaphors, i like that thanks dude
Dave, you have made hypothesis make sense to me in a very familiar way. Great work :)
I need the next lecture sooooo bad. Does anybody know where I can find it?
Hi Everyone! PART 2 of the lecture can be found here: ruclips.net/video/DEHW1d9zr2E/видео.html
where can I find 2nd and 3rd lecture?
any help?!
Quite an innovative, modern and above all realistic approach when explaining Type 1 error. Awesome Judge Judy.
Super Easy to follow, thanks! I'm developing a better understanding and intuition.
Can’t get better than this...thumbs up 👍🏽👍🏽
Where is the follow-up lecture which gives the solution - terrible to present a problem then not give us the solution.
I also was lost in class as David mentioned, however, this lecture change everything. Thank you!
Ho u= 150
H1 u >150
Null hypothesis is equal to 150 or it can be below 150 and for rejecting null hypothesis Alternative hypothesis must be greater than 150 ... if alternatives is lesser than 150 but then also it will not be rejected because in alternative >150
Sit back and relax:
Lecture or movie...but if this were a movie, it'd be a great one
Great explanations. However, one correction needs to be made. The pictures that are used as examples really need to be flipped. The women is very pregnant (true), but being rejected, should be the type-1 error. The man who is clearly not pregnant (untrue ), but being told he is pregnant, (not rejected) is a type-2 error.
Thank you so much...this was so interesting..and, the concepts explained in a way you can understand easily!
very informative. thank you
Thnk u so much really, literally I wasnt able to understnd this concpt until I watched ur video. 🙏🙏
the lecture 2 video ?
Bro I fucking love you
Thanks for getting me back on track!!! I was soooooo lost.
The best explanation.Thank you !
best tutorial ever, thanks
Cool. Thank you
Very simple and understandable....Thanks
Ayyyy, I wish my teacher made these memes in the clash "The rejection region" ahhahahahaha
simple but clear explanation~thx u so much
thanks dave for this great lecture. talented tutor!
@20:16,
I think the errors are same (Type 2 Error) for both images.
Male Image: NULLHYP="You're Pregnant", which is not rejected when it is untrue (He is not pregnant).
Female Image: NULLHYP="You're not Pregnant", which is not rejected when it is untrue (She is Pregnant)
Kindly Correct me if I'm wrong or acknowledge if it's the vice versa.
Thanks for your comment. The null hypothesis is what is assumed true until proven otherwise. That is, we assume someone is not pregnant until proven otherwise with medical tests. Does this help?
Sorry just realised I replied with my personal account. This is me, Quant Concepts! :)
Did you end up posting the other two lectures? If you did, which ones are they?
You made my day! Thank you!
Very informative and impressive one
Sounds good. Well Done
thanks a lot. really helpful
thanks dear dave its helpfull
Nice explanation sir
Very helpful thanks
$10.00 for the actual lecture. Do not waste 30 minutes watching this if you do not have the money to pay for him to really explain what you need to know beyond the very simple basics of understanding.
where can I find 2nd and 3rd lecture?
Bruv, you made this shit sample af! My prof made almost the entire class to drop due to his weak lecture 😂
Great but wr is lecture 2 ans 3:(
Very helpful! Thank you so much...@17:37 how did you find c?
Destinie Bruins he usef degrees of freedom and level of significance then got data from table
Nice
Where can I find the second lecture
Here: ruclips.net/video/DEHW1d9zr2E/видео.html
The link says course is for $15. Can it be cut short a little bit more?
Tushar nope it's free! At least on my device.
would be nice to actually have a part 2.... wasted 30 min
Good start but failed to solve his own problem - useless
Ahhh next lecture not on ur playlist ?? Ur the only one who actually knows what they are saying... all else just take turns regurgitating the same crap
I have now unsubscribed from this channel after watching the last video where the presenter did not manage to complete the solution to his own problem