this is going to sound crazy but u saved my life. LOL i have been trying to understand this concept in all the text and practice exam questions i have been taking and couldnt get it until i saw this video!! THANK YOU!
After watching this video my intuition is that larger variability needs a larger sample for high confidence. Because a small sample risks missing the extreme ends of the variability. Is that right?
Thank you! I don't have an online course, but all my Data Intuition videos (playlist here: ua-cam.com/play/PLmXNcJ-VjBYrySRGXmkJMHpw6O4E--XxC.html) are geared to exactly this idea of teaching data/stats in an intuitive way. I also have the asynchronous part of my MBA Marketing Research Class available here: ua-cam.com/play/PLmXNcJ-VjBYpwk2UylXglwY1Vq6aYFz3B.html Out of curiosity, what do you teach?
@@DataDemystified Love it! I work in business analytics (specifically focused around customer retention) but I spend a good amount of time mentoring students and others trying to break into the field.
Tell me you play D&D without telling me play D&D FWIW, I think keeping with the US metaphor and walking through a N=5 vs. N=1000 could show higher variability / lower confidence in low sample sizes Still, helpful video. Thanks!
Plz 🙏 solve this; The estimates of CMR for 4 wards in a village are 80, 90, 75 and 85. Find the estimate of CMR for that village at 95% confidence interval. P[t(3.025)=3.182]
Best explanation I've found. Thank you.
this is going to sound crazy but u saved my life. LOL i have been trying to understand this concept in all the text and practice exam questions i have been taking and couldnt get it until i saw this video!! THANK YOU!
Wish i could give this video 5 likes. It was properly explained making it easy to understand. Thanks a lot
Great explanation Jeff, kudos to you for the efforts, looking forward to more content like this from you.
This is a really nice video - v precise! Just right amount of information we need!
Glad you found it useful!
You perfectly explain CI, thank you for this informative video.
Glad you found the video useful!
Amazing! Thanks a ton. Well explained
After watching this video my intuition is that larger variability needs a larger sample for high confidence. Because a small sample risks missing the extreme ends of the variability.
Is that right?
Spot on!
Love this channel!
This is fantastic. I’ve been looking for videos to share with students that are intuitive like this. Do you have any online courses?
Thank you! I don't have an online course, but all my Data Intuition videos (playlist here: ua-cam.com/play/PLmXNcJ-VjBYrySRGXmkJMHpw6O4E--XxC.html) are geared to exactly this idea of teaching data/stats in an intuitive way. I also have the asynchronous part of my MBA Marketing Research Class available here: ua-cam.com/play/PLmXNcJ-VjBYpwk2UylXglwY1Vq6aYFz3B.html
Out of curiosity, what do you teach?
@@DataDemystified Love it! I work in business analytics (specifically focused around customer retention) but I spend a good amount of time mentoring students and others trying to break into the field.
Great video, would like to see an intuition video on how to calculate the 95% and CLT?
Thanks for the suggestion! That's definitely something worth adding.
really good explanations thank you
Thank you kindly ✍️
You are very welcome
Tell me you play D&D without telling me play D&D
FWIW, I think keeping with the US metaphor and walking through a N=5 vs. N=1000 could show higher variability / lower confidence in low sample sizes
Still, helpful video. Thanks!
really well done
Thank you!
Plz 🙏 solve this;
The estimates of CMR for 4 wards in a village are 80, 90, 75 and 85. Find the estimate of CMR for that village at 95% confidence interval. P[t(3.025)=3.182]
GOAT !!
Ahh yes, i now understand. Thanks prof.
Thank you!
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