You'd use the continuity correction on both sides (P(n - 0.5 < X < n + 0.5), and standardize). I don't discuss that because it would typically be much easier to just use the binomial formula in that spot (and get the exact answer).
You're amazing. In a little over 14 minutes I've learned more than I have through out my stats summer class (which I've been in for nearly 6 weeks). Thank you so much!!
lol your voice keeps me entertained and the lessons are awesome. I do like your teaching methods and everything seems crystal clear now so thank you !!!
That I'll let you figure out on your own. Feel free to watch my video on the binomial distribution. But when I get to the normal approximation to the binomial, I assume students are familiar with both the binomial distribution and the normal distribution, otherwise there isn't much point in discussing the normal approximation.
I was befuddled and feeling pretty lost (defeated, hopeless, ready to just QUIT) before I stumbled on your channel. Thank you so much for this video. Truly.
After reading the related chapter in the book, watching your videos is giving a great insight on the formulas and what they actually mean. You are explaining while others regurgitating! Thank you!
You are doing such a good thing for so many people. Such professional videos, well explained concepts, voice is great and super engaging. This is really saving me. Thank you mate.
i'm taking probability II in the fall, this is clarifying everything from the first class so well and I love it teacher never explained how the pmf of the binomial distribution is symmetric and similar shaped to the bell curve with large n and p clost to .5
The area to the right of 1.65 under the standard normal curve is 0.0495. (There's a small typo at that point in the video, as the z value should be 1.65 and not 1.645.) The area to the left of -1.65 is also 0.0495, and I'm guessing that's what you're looking at in the table.
Thank you so, so much for posting up this video. I'm currently studying for exams, and this one lesson my teacher had not taught us, but said it would be on the exam. I was beyond confused about the entire lesson, but after watching your video, it makes me proud to say that I now understand the concept. :D Its all because of you. So, I just wanted to say thank you very much. You're so clear and easy to follow. This video was perfect!
The best way to find the exact answer is to simply use the binomial formula to get the probability. But if we were forced to use the normal approximation, we would first use the continuity correction on both sides of 52. In other words, we need to find P(51.5
Right now I'm just studying from the power points presentations that our professor gave us, but it is all condensed and I like to understand what I'm doing instead of memorizing that it is this way, so I've been searching this past week for various channels and classes in youtube, and I got to say, I've had a glimpse on your channel and you have some very important parts of my course explained in your channel which I will view later such as Sampling, confidence interval, hypothesis testing
Thanks for the tables at the end showing how to calculate the continuity correction and how exact the final answer is with or without the continuity correction.
Very helpful, I didnt really get this when i first learned it and it wasnt until this video that I finally got it. Dont think you could have explained this any better.
does continuity correction apply if we are talking about sampling distribution of sample mean for parent binomial distribution, assuming n>30? Or do we just treat it like a "normal" normal distribution
What would be the logic behind that? 40 would become the interval between 39.9 and 40.1, but why? We use 0.5, because it divides up the continuous region into regions that correspond to whole numbers. 37.5 to 38.5 represents 38, 38.5 to 39.5 represents 39, 39.5 to 40.5 represents 40, etc. The continuity correction in the probability calculations flows from that.
Does it have to be a binomial distribution? Can we use a normal approximation, shopping with continuity correction, for any discrete distribution that looks normal?
Hey +jbstatistics, would you mind telling me when exactly do we add 0.5 to the x (when we're calculating the Z) and when do we subtract it?? Thanks in advance and your videos are AWESOME!!
I have query, If binomial can be approximated by a distribution function (any) so then why not to use the function that defines the continuity cont(x) and just evaluate it at the point we want to.?
You'd use the continuity correction on both sides (P(n - 0.5 < X < n + 0.5), and standardize). I don't discuss that because it would typically be much easier to just use the binomial formula in that spot (and get the exact answer).
You're amazing. In a little over 14 minutes I've learned more than I have through out my stats summer class (which I've been in for nearly 6 weeks). Thank you so much!!
lol your voice keeps me entertained and the lessons are awesome. I do like your teaching methods and everything seems crystal clear now so thank you !!!
+galaxytasty You are very welcome!
Thanks! You can't steal my voice, but maybe with a little practice you can get a reasonable approximation!
I can 100% steal your voice
That I'll let you figure out on your own. Feel free to watch my video on the binomial distribution. But when I get to the normal approximation to the binomial, I assume students are familiar with both the binomial distribution and the normal distribution, otherwise there isn't much point in discussing the normal approximation.
Thank you so much! You're the first guy that could explain the continuity correction in a very easy way to me.
You are very welcome Youri. I'm glad I could be of help!
I was befuddled and feeling pretty lost (defeated, hopeless, ready to just QUIT) before I stumbled on your channel. Thank you so much for this video. Truly.
Your videos man... they really are helpful when your prof isn't good. Thanks man!!!!
Your series is so far the best stats tutoring series I have ever seen. Really appreciate it. Makes life so easy
This makes so much sense now! Such a clear and intuitive explanation. I wish I could press that like button more than once
Thanks for the very nice compliment!
After reading the related chapter in the book, watching your videos is giving a great insight on the formulas and what they actually mean. You are explaining while others regurgitating!
Thank you!
Thanks for the compliment! I'm glad you find my videos helpful.
You are doing such a good thing for so many people. Such professional videos, well explained concepts, voice is great and super engaging. This is really saving me. Thank you mate.
You are very welcome, and thanks so much for the kind words!
A good teacher is always someone who can teach the subject clearly. And thats a skill. You have mastered that skill. Thank you for saving my time.🎉❤
i'm taking probability II in the fall, this is clarifying everything from the first class so well and I love it
teacher never explained how the pmf of the binomial distribution is symmetric and similar shaped to the bell curve with large n and p clost to .5
7 years later. You helped me in undergrad and you're still spelling things out for me in grad school hahaha
this is the best statistics channel i have come across!
Thanks so much for the very kind words!
The area to the right of 1.65 under the standard normal curve is 0.0495. (There's a small typo at that point in the video, as the z value should be 1.65 and not 1.645.) The area to the left of -1.65 is also 0.0495, and I'm guessing that's what you're looking at in the table.
You are very welcome, and I'm glad to hear you found my video useful. Thanks for the kind words, and best of luck on your exam!
You are very welcome! I'm glad you liked it.
Saved my life before the final.Thank you sir.
You are very welcome!
Thanks! I'm glad that you found it useful. I'll be getting back to adding videos soon.
I'm glad you found this video useful. I think that my videos are a little different from others out there (in a good way). Cheers.
That's an awesome explanation of the intuition behind the continuity correction. Wow.
+Bindi Nguyen Thanks!
I'm sure my students say that about me sometimes! I'm glad you found my video helpful. Cheers.
I doubt it, what's your name so we can look you up www.ratemyprofessor.com :))
Fantastic video. Clear explanations and gives reasons as to why to further enforce the understanding. Great teaching and voice. Really helped me
Lol. Such a Engaging voice!
Slightly manic
THANK YOU. You are a lifesaver! And you make statistics actually sound interesting for once with your voice :)
LOL. Dude, were you on drug when you made the video? The voice tone is hilarious.
I think he was just trying to make the video more interesting. But what’s the probability haha
Its his older videos so he was trying to experiment and wanted emphasize the keywords. give him a break haha
I was thinking the exact same thing lol, first few times i was scared. Still super helpful vid tho!
WTF is that 'X' on 2:50 hahah
I love his videos, but this one scared me lol (still learned a lot).
wow. one word for this video. Beautiful. Thank you so much for the amazing enthusiastic explanation!
I got a Stats Midterm Tomorrow. You videos are legendary!!! Thank you!!!
You are very welcome!
Thank you so much. I missed the lesson on this and when I asked my teacher she was just useless. This makes so much more sense now
Your videos are very elucidative. What was formerly murky are now Crystal Clear, or atleast feels that way...
Thanks! I'm glad I could be of help!
jbstatistics not just help, but great help.
Thank you so, so much for posting up this video. I'm currently studying for exams, and this one lesson my teacher had not taught us, but said it would be on the exam. I was beyond confused about the entire lesson, but after watching your video, it makes me proud to say that I now understand the concept. :D Its all because of you. So, I just wanted to say thank you very much. You're so clear and easy to follow. This video was perfect!
Best explination on RUclips in my opinion....
The best way to find the exact answer is to simply use the binomial formula to get the probability. But if we were forced to use the normal approximation, we would first use the continuity correction on both sides of 52. In other words, we need to find P(51.5
Right now I'm just studying from the power points presentations that our professor gave us, but it is all condensed and I like to understand what I'm doing instead of memorizing that it is this way, so I've been searching this past week for various channels and classes in youtube, and I got to say, I've had a glimpse on your channel and you have some very important parts of my course explained in your channel which I will view later such as Sampling, confidence interval, hypothesis testing
Marvellous! You have gained a subscriber! Thank you so much😭✨
your a life saver man, i learned a lot from your videos. Thanks.
+HaLFNoob HaLFAmaZinG You're very welcome. I'm glad I could help.
sir you're a hero. you deserve a medal for this. thank you very much haha.
This is an amazing explanation! Thanks for it, I really needed to understand this for my statistics course since I missed most of my lectures :p
you are amazing thank you very much your presenting skills are very helpful
You are very welcome. Thanks for the compliment!
I rarely comment on any videos, but I have to say, ur videos are incredibly good! Appreciate it.
Thanks so much! I'm glad to be of help.
You are very welcome.
You are welcome!
You're welcome! I'm happy to help out.
Thank you this was soo much better than the lecture I paid for, lol.
I was going to fall asleep but your voice woke me up !
Thanks for the tables at the end showing how to calculate the continuity correction and how exact the final answer is with or without the continuity correction.
tbh you have a incredible voice and tones, hahaa really appreciate it. thanks for what u did
What a fantastic way to teach statistics. I commend you sir.
+Julius Martin Thanks!
You're welcome. I'm glad to hear you learned a lot!
THANK YOU SOO MUCH!!! you explained much much better than my professor
Very helpful, I didnt really get this when i first learned it and it wasnt until this video that I finally got it. Dont think you could have explained this any better.
+Ryan Spalding Thanks Ryan! I'm glad you found it helpful.
OMG thank you so much, I wish my professor would be as great as you in explaining this stuff
Best video out there for this topic... No contest
Thanks Grant!
and for that, thank you very much. you are very clear and the way you explain is really great!
Thank you very much you made it simple and clear!!! The book is so confusing at some points! Keep up doing it! I really appreciate your work!
Incredible, wow! Thank you so much
Great explanation! My prof would have needed at least 2hrs for this :D
Thank you so much for this video. It helped me a lot!
StuDYING during this quarantine
It was 7 years ago but more intuitive than modern videos
great lecture! voice modulations made it very interesting to watch!
Thanks! Just glad to be of help.
Thank you, nice visual explanation for the continuity correction
You are welcome! I don't make statistics sound interesting, statistics *is* interesting! Cheers.
What a breath of fresh air to hear someone teach statistics enthusiastically !
My lecturer sounds like the motor in a failing food processor...
Thank you from a Electronic Engineering student!
You're welcome!
Thanks for the help, this confused me in class but now I understand it!
You are very welcome Matthew! I'm glad you found this helpful. Cheers.
Still saving grades 11 years later 🏆
study should be fun, i love your lectures !!
Your videos are amazing thankyou so much
I wish I found your videos the first time I took stats. Thanks a lot for making them, you've earned a new subscriber!
thanks alot for all your videos, you are doing a great a wonderful thing!
Thanks for your guides and very usefull
Great explanation. Thanks a lot!
Awesome explanation, cheers!
Thanks so much. Finally understand what continuity correction is. >
I'm glad to be of help!
best maths professor
Thanks!
You're welcome! I'm glad to be of help, but you really should go to your lectures :)
Thank you so much for all these videos
You are very welcome!
Thank you. Everything is clear now. :D
You're welcome. I'm glad to hear that this video helped!
You are a lifesaver.
does continuity correction apply if we are talking about sampling distribution of sample mean for parent binomial distribution, assuming n>30? Or do we just treat it like a "normal" normal distribution
@jbstatistics, thank you for clear explanation. Can we use 0.1 for continuity correction instead of 0.5?
What would be the logic behind that? 40 would become the interval between 39.9 and 40.1, but why? We use 0.5, because it divides up the continuous region into regions that correspond to whole numbers. 37.5 to 38.5 represents 38, 38.5 to 39.5 represents 39, 39.5 to 40.5 represents 40, etc. The continuity correction in the probability calculations flows from that.
@@jbstatistics thank you. So my logic was to have minimal correction value and as we would have 0.1
Great videos! thank you, from India.
You are very welcome! I'm glad to be of help!
Excellent, I might just pass this exam!
Best of luck on your exam!
Exam went well, Not in small part thanks to your video presentations. Thanks again!
That's good to hear, and you're very welcome. All the best.
your voice makes me energetic!!!
Does it have to be a binomial distribution? Can we use a normal approximation, shopping with continuity correction, for any discrete distribution that looks normal?
good job man! really helped
How do you find 0.0385 at 10:07
which app oor softwae did you use to make this video sir?Please reply
Hey +jbstatistics,
would you mind telling me when exactly do we add 0.5 to the x (when we're calculating the Z) and when do we subtract it??
Thanks in advance and your videos are AWESOME!!
for example z52 you need to substract .5
*Coming in not knowing why continuity correction works*
-Coming out a Boss
Good job dude. Good video
you are awesome!
thank you JB statistics :D
God bless you!
franco diaz You are very welcome. Thanks for the compliment!
Your videos are really Awesome bro.
Thank you.
I have query, If binomial can be approximated by a distribution function (any) so then why not to use the function that defines the continuity cont(x) and just evaluate it at the point we want to.?
great work😊