This was beautiful, 4 years later, and this is still one of the best instructional teachings for CI. You explain this in great detail, answering possible questions I may have had, and the explanation for each part is extensive. Love it.
Great explanations! I just did not understand why you took the z value @ 95 percent as 1.9600 an not 1.6449 . How do we differentiate between 1 sided and 2 sided over here?
1. How do we know the standard deviation of the population? 2. Central limit theorem, the sample mean should be equal to population mean with n > 30 and the standard deviation know, then why do we need the standard error? C
You are best teachers of Biostastics for me............i want to learn more and more from you how can i get more of your videos?.....if possible the full course.
Hmm. I guess I have the same question as some of these comments as to why it is 1.96 and not 1.645? Someone mentioned most of what we do is a double-tailed. So, how do we know when to use single tail or double tail?
Inorder to use 1.96 Z value you ld have to assume that it's a standard normal distribution distribution. Am I right ? What if we can't assume normality . Can someone clarify.
1) 100% - 95% = 5% 5%/2=2.5% which means 0.025 If you refer the standard Normal distribution table, the corresponding z value for 0.025 is 1.96. 2) difference in z & t is Z is when the sample size is > 30 and population standard deviation is given. Whereas t is when sample size is
+Nuno Almeida Your Z-table is probably cumulative(one-tail), meaning total value left of the z-score instead of between 2 tails. For a 95% confidence you need to divide the 5% by 2 (.05/2=.025), therefore all the values left of the 1 tail will be .9750. That should give you 1.96.
This 9 min video is much more helpful than one and half hours lecture~
same. or maybe the teacher is crap.
I'm with you. Very helpful video!
In my case my teacher is good but I tend to fall asleep in class so in my free time I browse the videos😂😴
Extremely helpful. Just learned 2 weeks of math classes in a 9 minute video
This was beautiful, 4 years later, and this is still one of the best instructional teachings for CI. You explain this in great detail, answering possible questions I may have had, and the explanation for each part is extensive. Love it.
U explained concept of confidence interval so well in only 9 minutes, 👏
Great explanations! I just did not understand why you took the z value @ 95 percent as 1.9600 an not 1.6449 . How do we differentiate between 1 sided and 2 sided over here?
You made that so simple!!! Simple explanations and in order, this is so helpful. I appreciate you taking the time
This video just answers all my questions about confidence intervals. Good job.
Great Job! I attended lengthy classroom session on this but didn't understood. You just made me clear in such a short video. Thank you so much.
Thank Goodness! NOW I can understand. Thank you so very much
Thank you so much. I had difficulty understanding this topic for straight .two days
Only two days?!
your tutorials are so helpful. not too long and not boring at all. Thanks
Ferdous-E Elahi j
1. How do we know the standard deviation of the population?
2. Central limit theorem, the sample mean should be equal to population mean with n > 30 and the standard deviation know, then why do we need the standard error?
C
Thank you very much, please apload more examples of Hypothesis Testing. You are the Best!!!
Hi, Loved your videos on CI, could you please also make videos on how to find 2 means CI
You are best teachers of Biostastics for me............i want to learn more and more from you
how can i get more of your videos?.....if possible the full course.
I was such an amazing video.. thanks alot
You are the best !!
Your explanation is very clear. thank you, very much!
Hmm. I guess I have the same question as some of these comments as to why it is 1.96 and not 1.645? Someone mentioned most of what we do is a double-tailed. So, how do we know when to use single tail or double tail?
thank you po..
Thanks ma guy
Inorder to use 1.96 Z value you ld have to assume that it's a standard normal distribution distribution. Am I right ? What if we can't assume normality . Can someone clarify.
Incredibly helpful. Thank you.
q
thanks, it very useful
Great!
You are a great teacher
But I don't get that how did u get the 1.96 fr the z
And show as what is the difference between z and t
1.96 is standard for 95 % confidence interval.
1) 100% - 95% = 5%
5%/2=2.5% which means 0.025
If you refer the standard Normal distribution table, the corresponding z value for 0.025 is 1.96.
2) difference in z & t is
Z is when the sample size is > 30 and population standard deviation is given. Whereas t is when sample size is
Awesome
Sir thank U so much this is gr8 video
Thank you very much you are amazing
Thanks man
Cool video
Did he just say, "memorize z table values" ? Is anybody out here doing that fr!?
i heard about the 1.96 being used for 95% confidence but on the z table, if you go look for 95, it actually shows a z for 1.64, not?
+Nuno Almeida 1.64 is when you do a single-tailed test, mostly what we do is a double tail.
+Nuno Almeida Your Z-table is probably cumulative(one-tail), meaning total value left of the z-score instead of between 2 tails. For a 95% confidence you need to divide the 5% by 2 (.05/2=.025), therefore all the values left of the 1 tail will be .9750. That should give you 1.96.
@@shawnsnow6413 Thanks man!
u the man
can i know what 1.96 . 20 means?
better than khan academy
Hi, whats the app that u used to draw ?
his voice like jerry sienfield
We get it it's not ok to assume that they are the same you dont have to spend 20min saying the same thing
This is wronggggggg..