Introduction to Confidence Intervals

[@keatonmcsweeney7772]

the clearest and best introduction to this topic on youtube. it is mindblowing how needlessly complex some of the others are! thank you so much

[@andersonjude3342]

I guess Im asking the wrong place but does someone know a tool to log back into an Instagram account? I was dumb forgot the login password. I love any assistance you can offer me!

[@alexts94]

I've been going through your videos for my engineering stats class for about the last week now, and honestly you are one of the most thorough and detailed teachers I've seen on youtube. Keep up the great work, jb!

[@jbstatistics]

Thanks very much for the kind words! I'm glad to be of help.

[@TheEzz09]

First crystal clear video I have watched on confidence intervals - thanks a lot! Very helpful!

[@giorozza]

You explain these concepts really well; not too slow, not too fast. :) Thanks! This is helping me to review some content for a final I have tomorrow.

[@nourhannabil2612]

This is the best channel for explanning principles of statistics

[@doa_form]

Your videos are extremely good! I find myself completely immersed on each topic. Thank you very much!!!!!

[@jbstatistics]

+Irvel N You are very welcome, and thanks so much for the compliment!

[@slman1994]

Man l really don't know how to thank you for you help, God bless you!

[@virajghoderao10]

8 years later wow! Thank you so much for this video!! Explained it 1000 times better than my statistics professors

[@MrJayJay198]

I just want to say thank you so much for all your videos. I have a business statistics test tomorrow & your videos are probably going to be the main reason I pass it. Thank you!

[@ehatipo4598]

I have taken 3 months of University classes and did not fully understand this concept until now. It is amazing what you can do in 6 minutes, which education system unable in 3 months.

[@HungPham-sl6me]

thanks you so much. You are way better than my uni lecturer

[@hsa5089]

The only video so far that explained this concept very very well! Thank you.

[@prasantas2195]

Absolutely the best explanation I've ever come across.

[@korean4130]

Everytime I get confused with important statistics concepts, I come here and feel relieved.

[@thomascao-t8s]

such a clear and transparent explanation

[@EDward-u1f6i]

I have been digging around about the topic and this is the best one so far. Thank you so much!

[@nanapearson9106]

thank you so so much for this amazingly well explained video. really helped demystify this section in stats

[@jbstatistics]

+Nana Pearson You are very welcome! Thanks so much for the compliment!

[@jacksonbarry8210]

Love your videos man, the more you make of these, the more money will be coming your way, education by youtube is growing at the speed of light.

[@BonnieChun]

omfg. thank you so much. i was seriously stuck with confidence intervals, like how to find it (the "range"). the second you showed it, my world got brighter TT_TT LOL

[@jbstatistics]

I'm glad to be of help!

[@lakaaypaliwal1403]

Thanku for providing vital details on such topics which some of the highly preferred books even fail to provide..

[@notSavant]

you should make a video on point estimation and maximum likelihood estimation

[@manjeetsingh-rc3gb]

no words sir .. you are my guruji

[@tjfirhfjejUTH24]

thank you your channel is super helpful

[@jbstatistics]

You are very welcome Adam!

[@uroko2993]

I like all your lessons. Well explained.

[@irajanwar3012]

huh!! I see all my confusions flowing away. May Almighty bless you. I wish you were my statistics 2 a levels teacher.

[@jbstatistics]

I'm glad to be of help!

[@Cesarcast86]

The performance is presented so good, for tha explanation by the terms and significant . good job

[@danilojrdelacruz5074]

@jbstatistics 0:25 It's still something that confuses me greatly. But isn't it wrong to say that 'there is a 95% chance' that mu lies in the interval?

[@jbstatistics]

I have a more complete discussion of the interpretation of the interval in this video: kzbin.info/www/bejne/gIqzZ5qZYpKmfbM. In repeated sampling, if all assumptions are met, then 95% of 95% confidence intervals would capture the true value of the parameter. Some people make a big deal of saying "we can't say that there is a 95% chance that the interval captures..." Although it's true that we can't say that, I think people make FAR too much of that notion and it simply confuses people. In the millisecond before your sample is drawn, the probability is 0.95 that the resulting interval will capture the true value of the parameter. In the millisecond after, the probability it captured the parameter is either 0 or 1, but we're 95% sure it's 1. That's a distinction that I really don't care about, at all, but some people seem to think it's the most important thing about the interval :)

[@addicted2soccer4]

literally the best explanation videos

[@jbstatistics]

+nreichsss Thanks!

[@notSavant]

This is great!

[@fuadkhan23]

I have one question sir, at 5:30 timeline "The pole is believed to be accurate to within 0.03, 19 times oyt of 20" - what does is means "accurate to within 0.03" means?

[@jbstatistics]

+Fuad Khan Like I say around 4:50, it means that we can be 95% confident that the sample proportion lies within 0.03 of the true value of p.

[@fuadkhan23]

Got the ans sir. Thanks for taking trouble for me. :)

[@fogefilho]

Where I can find the exercises that you mention in the video?

[@AnthonyLevine007]

Fantastic explanation!

[@revathidorasami7409]

Thank you so much. It is very helpful. Your channel explains everything so perfectly.

[@jbstatistics]

You are welcome, and thanks so much for the kind words!

[@fuadkhan23]

Lot of thanks :) :), very nice tutorial

[@vipcrownemoji2272]

thank you now i will see your other videos hoping to understand this topic

[@jbstatistics]

+spy 009 You are welcome.

[@sanchoysamriddharanchi5753]

Sir,please upload videos on time series and forecasting.

[@manjeetsingh-rc3gb]

continue sir.... Also upload the probability course i am sure the students 'll like it

[@RegginaFilangi]

great explanation! very comprehensive way to analyze the topic! good job :-)

[@jbstatistics]

Thanks Vicky!

[@crystalw8329]

thanks so much the video r really clear and helpful!

[@certifiedsmartass4122]

Isah Mariah Matthews akka olunga class edutha naan yen inga varen?

[@aliahmadfaizy8057]

thank you, really enjoyed and learned a lot from the videos

[@ernestamoore4385]

Why can there not be a significant difference between two groups when the 95% CI contains 0 between the lower and upper bounds?

[@kunalmohan2689]

Thanks. That was helpful. However, how do I know which is the next video in the series after this on? Similarly for other videos, can you club them under respective topics so that it is easier to start a topic from the first video lecture. Thanks.

[@jbstatistics]

I have them organized into youtube playlists. I also have a complete listing of videos on jbstatistics.com.

[@kunalmohan2689]

jbstatistics Thanks a ton. Your site helped. Can you please point me to any book which has loads of challenging practice problems on all the topics covered by you.

[@jbstatistics]

Hi Kunal. I've been focussed on creating my own resources lately and I don't follow any text. There are many good books out there with lots of problems, but I don't have anything specific to recommend.

[@mazi6165]

thank you! extremely useful...

[@jbstatistics]

You are very welcome!

[@tessgoins3973]

Very helpful, thank you sooooo much!

[@jbstatistics]

You are very welcome Tess!

[@xinyuma5555]

this vedio is really amazing and helpful! thx a lot bro!

[@jbstatistics]

+Xinyu Ma You are very welcome!

[@KhalidUneeb]

Thanks it really help me.

[@gauravgregrath6606]

have u made videos on mean square error .. biased ness and mean likelihood estimators.. help on this topic.. plz

[@cheesybuckets2622]

Thank you. That was very helpful :)

[@valeriereid2337]

Thank you

[@jbstatistics]

You are welcome!

[@modelaircraft12]

thank you so much, but... JB statistics, can you please make a video on C.I for a binomial proportion please??

[@mahnoortariq7212]

Thanks ♥

[@charlyjay7142]

I do not understand why you don't use a z score times .03 when you calculate the confidence interval for the proportion? Help?

[@jbstatistics]

This is a "big picture" video, where I avoid going into the underlying calculations. The 0.03, as given, already includes the appropriate value of z. (0.03 is the margin of error, which is the appropriate z value times the standard error.)

[@janefernandez7432]

Where did the .03 come from? Can you please elaborate

[@chuckbecker4983]

He just picked it to work the problem; it's basically a random number for example.

[@jiwonkim9001]

super helpful

[@jbstatistics]

I'm glad to be of help!

[@omkarchavan2259]

Why don't they specify sample size while specifying confidence interval.

[@jbstatistics]

I'm not sure what you are asking. The sample size doesn't have anything to do with the confidence *level*. For a given confidence level, the sample size will come into play when calculating the interval. All else being equal, larger sample sizes lead to narrower intervals.

[@GoodDeedsLeadTo]

95% is the confidence level and .03 is the confidence interval? Samples Confidence level of 95% for the statistic p hat to be within 0.03 of the parameter p?

[@jamaicaboy544]

0.43 ?

[@caseymiller63]

prof Balka?!

[@BABABOOWIE369]

Wow this example problem did not age well

[@jbstatistics]

It's actually not far off, even today. Such is the world we live in.