Thank you so so so so so very much. I have been struggling with this for almost 2 hours. You made it so simple, and your video is so concise, yet so impactful.
My teacher who was trying to teach us this content had over an hours' worth of content that still failed to accurately explain how to do this, your video was so much more helpful, thank you!
I have been struggling so hard in my statistics class (first math class in over 5 years), and feeling like I just can’t grasp any of these concepts. This has helped me understand so much, thank you so so much for the amazing lesson!
I'm back leaking for your stats guidance. With your teachings I passed stats at the community college. Now I'm at the university. I'm back for more assistance. Thank You for all you do. Sending infinite blessings.
Thank you. You manual calculation videos are really show the essence of statistics. I always use Minitab to analysis data, actually don't understand how to get the results. Your video helps a lot.
Thank you so much for your help. Im in the middle of confusion and some how your way of teaching, talking and interpreting make me feel safe and calm. Like everything all have its solution. I know its sound rediculous but thanks again.
Thank you so much😭 I’m doing my assignment right now and couldn’t understand the teacher that was supposed to teach me this. Thank you for such clarity in how it’s done.
6:25 all of this is a great walk thru but the interpretation is incorrect. The correct interpretation is that for 95% of all random samples, the confidence interval will contain the population mean.
I've seen other sources that state you can't estimate the mean with such a small sample size (n=14) unless you already know the original population data is normally distributed. That requirement was not mentioned anywhere in this video.
Compute for the minimum sample size using an appropriate formula. Assume that no similar study has been previously done and that the level of variability is unknown. Use 2% level of precision and 90% level of confidence. Could you please explain this to me sir!
good, so now i know how to calculate it, BUT why is it called confidence interval? it is just taking properties of my limited sample and multiplying it with bell curve properties to simulate that my data somehow magically is enough data so that i can reliably tell me by adding normal distribution properties mechanics, that it can tell me the chance that the populatin mean lies between these 2 values. sounds pretty daring. i have no clue yet ehy this works or should be true, and under which circumstances.
Easy to understand... at last. However, there are 4 results in the list of weights that are outside the CI range. 4/14= 28%. I thought that in a 95% CI range there would only be a 5% chance of having a result outside of the range
why is it when im doing the math at 95% CI it does'nt match with my excel curve Area result.. it yields around 75% only when im estimating the sigma values to plot the normal dis curve.
Why do we indicate the t values on the curve? Shouldn't we be indicating the upper and lower limits (i.e. in this case 992.95 and 999.47) there instead?
Thank you that was very clear. I am trying to understand what it means when someone says something like "that is one standard deviation out" when talking about outliers in a population. I heard it in relation to the distribution of IQ results and the challenges faced by people with an IQ at a certain (low) level?
Just learned a whole month of class in this video right here.
You really the man
its 1 week worth for my summer class.
Thank you so so so so so very much. I have been struggling with this for almost 2 hours. You made it so simple, and your video is so concise, yet so impactful.
fancy seeing you here. love you
same smh
My teacher who was trying to teach us this content had over an hours' worth of content that still failed to accurately explain how to do this, your video was so much more helpful, thank you!
Don't underestimate that lecture, How many questions you can solve from 8 minutes of video as compared to 1hour long lecture?
Don't compare it just the way you focus.
I have been searching on how to solve this problem and you WERE able to break it down and i was able to follow without any problems. Thank you
Beautiful and clean Eugene O'Loughlin. Wild how good that 6:58 min video was.
I truly appreciate your by Hand video series. It has been incredibly useful in my studies
saved me 3 hours of lecture, what a hero
I have been struggling so hard in my statistics class (first math class in over 5 years), and feeling like I just can’t grasp any of these concepts. This has helped me understand so much, thank you so so much for the amazing lesson!
I'm back leaking for your stats guidance. With your teachings I passed stats at the community college. Now I'm at the university. I'm back for more assistance. Thank You for all you do. Sending infinite blessings.
Extremely thank u sir❤
THANK YOU SO MUCH!!!!! YOU JUST HELPED ME PASS MY FINAL!!!
I had no clue on how to calculate this but after watching this video I can confidently say I will never fail this.
Thank you. You manual calculation videos are really show the essence of statistics. I always use Minitab to analysis data, actually don't understand how to get the results. Your video helps a lot.
So much clarity and such a easy way to teach. Appreciate your teaching style so much. Thank you for these videos. Love and respect from India 🤗
you explained it very clearly sir, thankyou!
You just explained it to me so that it “clicked” thank you for making this easy!!
This has been so confusing and you made it so easy. Thanks!
I thank you for making it so easy to understand.
Thank you, your videos are excellent, it makes so much difference when you work by hand and explain why and how.
Great video! It's super easy to understand and you speak very clearly and at a good pace. Thank you!
Thank you so much for your help. Im in the middle of confusion and some how your way of teaching, talking and interpreting make me feel safe and calm. Like everything all have its solution. I know its sound rediculous but thanks again.
your videos are always so straight to the point and helpful, thanks for everything you do.
The teaching is so clear and great. Thank you!
you're solid my guy
Thanks a lot for your clear and detailed explanation.
Your video was an excellent review - simple and succinct --- thank you!!!
thank you. you explained it very simply...
Thank you Dr. O'Loughlin! Wonderfully clear explanation.
Concise, clear…what a guy
what if your degrees of freedom is 199? how do we find the values there?
I can’t believe I finally understand this, thank you so much!
thanks a lot I was struggling among many articles and stuff ..Bless you and healthy always
Thank you so much😭 I’m doing my assignment right now and couldn’t understand the teacher that was supposed to teach me this. Thank you for such clarity in how it’s done.
Great video and came in right on time! Let me see if I can get the right answers now.
This video explained this very clearly and made it so much easier. Thank you so much. You're an excellent teacher
Great job sir. Thank you 🙏
6:25 all of this is a great walk thru but the interpretation is incorrect. The correct interpretation is that for 95% of all random samples, the confidence interval will contain the population mean.
Absolutely, his interpretation is treating the population mean as if it were a random variable. But it is fixed.
Really helpful! How to calculate confidence intervals of variance (n under 30)?
This was soooo helpful! Thank you for posting it. I was so easy to follow
what if it is not mean but a sample space, the sample space cannot be seen in degree of freedom. which is 47
I've seen other sources that state you can't estimate the mean with such a small sample size (n=14) unless you already know the original population data is normally distributed. That requirement was not mentioned anywhere in this video.
Isnt the t distribution for that? Wouldnt it be a z value for n>30 (im genuinely confused so pls weigh in lol)
@@diminarchy yes, that’s the exact reason why we use t-dist. We also don’t use T If we are given the population standard deviation.
Thank you so much, professor!!!
Excellent, professionallly, absolutely clear. Thanks. Let Allah Bless you
Nice, and what if my T table only has one-tail?
OK it is in, Teacher Extraordinaire. Thank you for this.
sir, you are a godsend. thank you so much for the informative but brief video!
One of the clearest explanation!
Amazingly explained - Thank you!
great narration thank you
@4:28 why do we multiply the SE with the T value? what is the mathematical reason? thanks!
Thank you!
Thank you, Professor! You helped me out so much on this problem. Many thanks!
Compute for the minimum sample size using an appropriate formula. Assume that no similar study has been previously done and that the level of variability is unknown. Use 2% level of precision and 90% level of confidence. Could you please explain this to me sir!
thank you so much for the help friend
Two-tailed t distribution table was used, right?
thank you for the assistance, I will pass my exam because of you
Your videos are so very helpful Thank you very much again!
Thank you very much for the explanation through this this video, it's really make me understand
Thanks very much sir. You just save my day. I have an exam to write in an hour time. Thumbs up for this video👍
Really it’s useful but why you multiply critical value with SE
Thank you, teacher!
I've learnt about finding confidence level after watching your video.
Fantastic teaching. Thank you
I watch this always if i forgot how to calculate lol ty dude btw
good, so now i know how to calculate it, BUT why is it called confidence interval? it is just taking properties of my limited sample and multiplying it with bell curve properties to simulate that my data somehow magically is enough data so that i can reliably tell me by adding normal distribution properties mechanics, that it can tell me the chance that the populatin mean lies between these 2 values. sounds pretty daring. i have no clue yet ehy this works or should be true, and under which circumstances.
thank you. how do we know when to use the t table vs z score?
That was very clear. Thank you.
great video and easy to follow!
Your so cool, professor Eugene! love your teaching method, it's so easy to learn from you. Thank you so much. Respect.
YOU ARE AMAZING!!!!
thank you so so much
Easy to understand... at last. However, there are 4 results in the list of weights that are outside the CI range. 4/14= 28%. I thought that in a 95% CI range there would only be a 5% chance of having a result outside of the range
This is helpful . Thanks professor for this video . Comment is from Pakistan
why is it when im doing the math at 95% CI it does'nt match with my excel curve Area result.. it yields around 75% only when im estimating the sigma values to plot the normal dis curve.
Thanks alot you just helped me to answer my assignment questions 👏
Why do we indicate the t values on the curve? Shouldn't we be indicating the upper and lower limits (i.e. in this case 992.95 and 999.47) there instead?
What does this +/- in confidence interval formula accounts for.
Perfect explanation! Thank you so much
your voice reminds me of the youtuber great scott, good video though very easy to follow
Thank you that was very clear. I am trying to understand what it means when someone says something like "that is one standard deviation out" when talking about outliers in a population. I heard it in relation to the distribution of IQ results and the challenges faced by people with an IQ at a certain (low) level?
You are the best professor
This was very much helpful, thank you.❤️
I watched another video on confidence intervals and instead of using a T table the guy used a Z score table.... when do you know which one to use???
Genius! Thank you so much
...and this is a confidence interval from only one sample, correct? No bootstrapping because that would be too long of a process, correct?
very useful, explained very well, thank you!!!!!
Great Video!
how SD came as 5.5
so, any sample values above 999.47 and below 992.95 are rejects????
This video was so so helpful youre the best
RUclips professors trump normal professors any day of the week, thank you for the great video
if the sample size is more than 30 should we refer Z table rather than T table?
this is the best work❤
this video REALLY helped thx
Thanks, professor! love the style and comes across easy to understand!
Thank you very much Professor Eugene!!
Very helpful, thank you so much.
Thank you very much! Was very helpful.
Thanks for help! This video helped me so much more than my professor!! Keep up the great work Sir 😀
Very clear explanation. Thanks
Hello! What if the df value is 94? How will you find the T-value?