Confidence Interval [Simply explained]
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- Опубликовано: 8 янв 2022
- In statistics, parameters of the population are often estimated based on a sample, e.g. the mean or the variance. But these are only estimates and the true value in the population will lie somewhere around these estimates. Now it is of course very useful to define a range or interval in which the true value will lie with a high probability, this range is called confidence interval.
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Having my statistics exam next week and I can say you just saved my life. I have been struggling to get this since the beginning of the semester. You just put it up to me in the most astute way everr
Thank you for explaining this better than my university
Thanks! : )
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in 5 minutes 😁
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My uni didn’t even explain it, we had to figure it out :)
Miss, I'm literally about to take exam on this material...😭😭 You explain this much better than my professor. Thank you very much for this, I now understand that the confidence level correlate directly with the Z-level which I can use to calculate the confidence interval. From the bottom of my heart, I sincerely thank you😭😭
Many thanks again for your nice feedback!!! Good luck for you exam! Regards Hannah
So...How'd it go?
How did you do on the test?
@@queenof2kings299 She failed, I'm in her class
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Happy to help and many thanks for your nice feedback! Regards Hannah
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Glad it was helpful and many thanks for the nice feedback! Regards Hannah : )
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Glad you liked it and many thanks for the nice feedback! Regards Hannah
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This is the best explanation of confidence interval on all of youtube (at least the first 10 search results)
Many many thanks for the nice feedback!!! Regards, Hannah
I agree. The rest are filled with Phd Professors complicating it more lol
@@chvrleshd Many thanks : ) Regards, Hannah
Whenever I start to study for an exam I always look at youtube videos for a spesific topic. Very well explained, thank you for video.
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Many thanks for your nice Feedback! 🙂 Regards Hannah
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Greate! Regards Hannah
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Glad it was helpful! Thanks for your nice feedback! Regards Hannah
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Glad you enjoyed it and thanks for the Feedback!
Your accent brings my memory back to my Econometrics professor who is from Eastern Europe. She taught lots of statistics that's very hard to understand :)
: )
Best explaination I've seen
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Thanks : )
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Many thanks!!! 😊 Regards, Hannah
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Many thanks! Regards, Hannah
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Glad it was helpful and many thanks for the nice feedback! Regards Hannah
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Glad to hear that! Regards Hannah
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Many thanks for your feedback! Regards, Hannah
Thank you. I have a Q. When you take a sample and calculate itsmean, do u put that sample back and let it's elements mix with population and take another sample or do u keep first sample aside and take another sample?
Thanks!!
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My pleasure and thanks for your nice feedback!
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i love how all the good explanation videos only come after i did my exam 😭
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thx great video really get what CI is
Glad it was helpful and many thanks for the Feedback! Regards Hannah
It is a useful class..thank u sweet heart.
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how we use pre/post test in DATAtab
Many thanks for your feedback! I will put it on my to do list!
appreciate your timely response
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Nice video , I have a question. assuming I have a non normal population and only one sample with its respective statistics, can I assess this confidence interval there? I mean , according to your example I need more than one sample to get a mean of the sample distribution . Please that would really help me
Why do you know everything 👏👏
i like your explanation.
Glad to hear that! Many thanks! Regards Hannah
Can you please tell me how to determine the confidence interval when the data doesn't have normal distribution?
can I use the confidence interval if the sample size is less than 30?
day after tomorrow is my xm & u saved meeeeeeeeeeeeeeeeeee
Thanks : )
good expo
That was a brilliantly crafted explanation for the concept behind a Confidence Interval. Thank You !
If someone can help me explain how the z-value for a certain High Probability (for instance 1.96 for 95% probability) is ascertained in depth, then that would be wonderful.
Thanks,
Calculate (integrate) the area under the curve of the standard normal distribution (mu=0, sigma=1) in such a way, that area is 0.95 from -inf to x. Since there is no explicit form of that integral people botherd to calculate it for "all" (aka 10'000) values between 0 and 1 so it can be printed to a book and looked up.
Thanks mam
Thanks for the video, but I think i've spotted a small mistake, since you are using the sample sd you shold base your confidence interval on the t-distribution, not on the nomal distribution, exept, when your sample size is large, then z and t values are similar.
Hi, many many thanks for the hint! that is of course true! Regards Hannah
Very helpful thank u mam
Most welcome 😊
You are amazing
Many thanks! : )