Estimation and Confidence Intervals

EBM. Yes, I know I wrote 5" (inches) and said 5 feet (5'). This is my tribute to Stonehenge. ;)

[@shrimatkapoor2200]

Thanks so much for this, at uni they're just assuming we have an intuitive understanding of this, but all I can see is a bunch of formulae

[@leandrogatlin3100]

Instablaster.

[@mironfrancisco6065]

Thank you for this great explanation! This example is so clear and straightforward.

[@memoameen]

Maaan your channel is life saving ... thank you!

[@danib4295]

Omgsh. Thank you thank you thank youuuuuuuuu. I like my professor, she’s a sweetheart but she has a very thick accent. And the day she taught this she didn’t exactly go through her slides so she seemed alllll over the place and I was dying to understand. Thank you for making this easy to understand. You’re heaven sent, God bless you.

[@Akshitguleria7]

Son of a gun

[@Akshitguleria7]

What is this fishy profile?

[@Akshitguleria7]

You honeytrap

[@Akshitguleria7]

@@deemimeedi7439 what is this cursed reply XD

[@gunning6407]

These intro stats video playlists fit together so nicely. Thank you so much for the excellent job!

[@poojaarora7145]

have watched several videos on this,,, and this is some excellent way of explaining. simple and superb.

[@valeskavictoria]

This is more than greatly appreciated!! Thank you so much!! (:

[@shubhammahajan645]

This is probably the best way anyone can explain. Thanks Rahul! Appreciate the work !

[@NARAYANNE007]

Wonderful explantion of a dreaded concept... Thank you very much

[@deewastamang9135]

Thanks. That was helpful. I learnt more from this video than from my class.

[@masyez]

Best example on youtube

[@mervepurde4412]

That was incredibly good! thank you for sharing this video it was really beneficial. Greetings from Turkey!

[@brookc1076]

Your explanations are better than Khan Academy, bless you

[@timsidney3076]

Thank you very very much. Couldn't have understood better. Thanks again. So so easy to go with due to the way you explain it

[@bidurtiwari4617]

You are awesome teacher . Thank you very much

[@mollyyllom]

Thank you so much. It really helps clear the concept.

[@littlepinkpie_]

Its described greatly.

[@phantrieu3871]

thank you so much for the explanation

[@AJ-et3vf]

Awesome video sir! Thank you!

[@fionasharan4781]

Very clear and explained beautifully ! Thank you :)

[@freshaveena1]

This was very useful. Thankyou

[@vishalshinde5252]

Great explanation. Clear and precise!

[@sergiodavidricotorres237]

Well Done Rahul!!!

[@cbearorz]

best explanation! i never understood when i studied this back in school! only did the math like a machine but never understood the concept and know what the number i calculated mean. thank you so much for the explanation!

[@shirshoshreyan7538]

Excellent work Sir! One Question: how did we found the Standard dev of population?

[@FadyAbdulsattar]

very well explained

[@anjumwaseem9991]

Amazing

[@กยกสลล]

Thanks this help me a lot!

[@jeevieseverino3949]

ASMR feels while studying.

[@wigusni7397]

Really great explanation, thank you sir

[@sheshanpeiris8162]

Amazing teacher😍🤗

[@andwecreate8326]

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]

[@malachiafontenelle9330]

Wow..great teaching . The concept was well explained

[@tumul1474]

now that was just amazing !! thanks a lot sir

[@halamostafa937]

great video

[@jiggybad2730]

Thanks man 🤝

[@diejungchan1503]

Make the terrible statistic look cute x(

[@emiliovaldez1911]

Great video thank you so much sir!!

[@thepretty4627]

I have never understood statistics like this ! Thank you genius

[@hudagomaa748]

thank you very much, really great job but i am asking weather we calculate confidence interval using sigma (standard deviation) or standard error of the mean, and that we also don't know sigma but we know s which is standard deviation of a sample, thanks

[@sajanabasnet1111]

Really helpful...thank u so much!

[@rileyleau579]

Very helpful and easy to understand! Thank you~~

[@targettarget7014]

Thank alot ......made stuff alot clear for me

[@ananyaagarwal7108]

Thanks for the explanation. I have a doubt though. Let's say the point estimate is the sample mean. We can repeatedly keep taking the sample means and then plot all these sample means in a histogram and we would observe a normal distribution called the sampling distribution of the sample means. The mean of this distribution would be a better estimate of the population mean and its standard deviation, called standard error would be the population standard deviation/sqrt (number of points in a sample). Won't the confidence interval(say 95%) range be (sampling distribution mean - 2 SE,sampling distribution mean + 2 SE) instead of (point estimate - 2 SE,point estimate + 2 SE)?
Why would we use the sample mean(point estimate) in calculating the confidence interval range? What if that particular sample mean was like an outlier in the sampling distribution of the mean? In that case, doing +/- 2*SE wouldn't be a good judge to measure population mean right?

[@ruthadelley9533]

SO SO GOOD

[@samuelmuvirimi7003]

Thanks fo e simple explanation

[@sanjeewasirimanna6241]

Thank you very much sir.

[@cykatytuberkolsis3761]

Thank you
Great video 😀👍

[@jayantsingla2005]

just wanted to understand one point...why you do 76+-2(4)...why not 76+-2(4/sqrt(n)) as it is std. error not std dev.

[@alialazawi2849]

OMG THANK U A LOT

[@ranm9180]

thank you❤❤

[@Naamy19X9]

Thanks for the simple explanation.

[@adoniasgidion4626]

nice stuffs

[@jaayy231]

nuff respect Rahul

[@prantikdas1413]

when do we use the z value then?

[@preetiprasad3933]

Thank you.

[@3zvic517]

Thanks a lot

[@ibrahimabdirahman9586]

Thanks.

[@myhobbyismale]

May I know if it's assumed that all the sample has the same standard deviation as the population? (sorry if its a stupid question

[@zulfiqarmuhammad4392]

Thank you

[@GILBERT191919191919]

it was good but if you solve one more question it will be more helpful

[@xinyizhang9648]

Thank you so much for the cute video!!
I got one question here. Do we actually make N samples and find the number that was concluded in the 95% of N samples' 95%confidence interval? or we actually only take one sample to construct the 95 confidence interval?

[@beyzaacar2349]

This is really beneficial video,thanks a lot for doing this :)

[@jiminie_mochieot7stan260]

Hello 2021

[@luzdelacruz1444]

thank you very much, I've learned a lot.

[@je6874]

If you didn't know the population mean, wouldn't you also say for X5 that you're 95% certain that it wouldn't include the population mean? How would you get the true population mean in the end?

[@titanium8926]

thank you so much it really helped

[@faree38green]

Very very good!

[@ev1836]

Wow thank you so much!!

[@anmolbhola8786]

heath ledger

[@GurpreetKaur-jg7wk]

Wow..sr gr8..amazing lec ever..i heard...gbu Sr..

[@theswordpkchannel1794]

Okay it good

[@ciannedelatorre7274]

We're learning this at Grade 8 hahaha (cute presentation btw)

[@musicarose5232]

i dont understand a thing

[@ashakrishnaq8872]

thank u DR Patwariusing your videos for usmle step 3can you explain how to interpret relative risk with confidence intervalmany question in usmle with this

[@UrinatingTheCrowd]

thanks for not having an annoying accent...

[@zeru2980]

ungrateful bitch!

[@Azap2124]

That is extremely rude. People with accents know more than one language. What additional language do you know dumbass? Probably none. And if you do, you probably sound as "annoying" or worse.

[@BlackStarSeries]

Chill people lol.

[@Toalettduck]

bitch lasagne

[@NationalDeputy]

bet u white

[@josephchong783]

Thanks very much