Estimation and Confidence Intervals 

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

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

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

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

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

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

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

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

Great explanation. Clear and precise!

Very clear and explained beautifully ! Thank you :)

Wow..great teaching . The concept was well explained

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

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

Very helpful and easy to understand! Thank you~~

You are awesome teacher . Thank you very much

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.

This was very useful. Thankyou

Best example on youtube

Awesome video sir! Thank you!

Really great explanation, thank you sir

thank you so much for the explanation

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

Its described greatly.

Your explanations are better than Khan Academy, bless you

Great video thank you so much sir!!

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

Amazing teacher😍🤗

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

SO SO GOOD

Thanks this help me a lot!

Well Done Rahul!!!

Thank you Great video 😀👍

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

thank you❤❤

great video

Amazing

Really helpful...thank u so much!

now that was just amazing !! thanks a lot sir

Thank you very much sir.

very well explained

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]

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

Thanks a lot

when do we use the z value then?

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!

Thanks.

Thank you.

Thanks man 🤝

ASMR feels while studying.

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?

Thanks for the simple explanation.

Make the terrible statistic look cute x(

nice stuffs

nuff respect Rahul

Thank you

OMG THANK U A LOT

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

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

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.

Thanks fo e simple explanation

thank you so much it really helped

I have never understood statistics like this ! Thank you genius

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?

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

Okay it good

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

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

Hello 2021

Very very good!

Wow thank you so much!!

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?

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

heath ledger

i dont understand a thing

thanks for not having an annoying accent...

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

Thanks very much