Wonderful Video. I liked how you made the connections on why this concept matters in real world situations and how it relates to other concepts; great for understanding the bigger picture.
That "upper" value in a ti-83/84 can be any "big" number. (`big' here means many standard deviations above the mean). You can experiment and see you'll get the same result using numbers like 1000, 10000, 100000, for the "upper".
I think that somewhat depends on how precise you want to be. It is probable you don't care about the heights of tall things to the same degree of accuracy as the height of small things.
Wonderful Video. I liked how you made the connections on why this concept matters in real world situations and how it relates to other concepts; great for understanding the bigger picture.
thank you for the thoughtful comment! Glad you were able to get something out of the video.
studying for finals and i find myself hating stats so much. but this is so cute. thank you so much for this gem.
Thank you so much for taking the time to comment. I am glad the video was helpful! Good luck with your studies.
Literally you are a king
lol. Preesh bro.
Very very good. The best I have seen to date
Gosh! Thank you so much. That is quite a compliment. All the best.
Should be used as a standard for videos on Stats
Thank you! Very kind thing to say.
It was intuitive and awesome. Thank u
Thank you so much. I appreciate knowing it was helpful.
thank you very much
You are very welcome. Thank you for the comment.
Thank you so much!!
You’re very welcome!
so useful! thanks so much.
Glad it was helpful. Thanks for the comment
nicely explained
Thank you!
Thank you so much
Thanks for the comment. Happy New Year!
In the part 20:12 where did you get the upper value 1000? Im confused please help me 🙏
That "upper" value in a ti-83/84 can be any "big" number. (`big' here means many standard deviations above the mean). You can experiment and see you'll get the same result using numbers like 1000, 10000, 100000, for the "upper".
This sampling is with or without replacement to find p hat?
Thank u
If a population is large, sampling without replacement is basically the same as sampling with replacement.
@@SulockMath 👍
this was amazing tysm
Thank you for the comment! Very glad it was helpful.
Does it mean we should to take larger n for cases where the SD is higher like skyscrapers and smaller n where SD is not higher like heights of people?
I think that somewhat depends on how precise you want to be. It is probable you don't care about the heights of tall things to the same degree of accuracy as the height of small things.