I watched multiple videos on this and I didn't understand when it was necessary to use the continuity correction and when not.. This video explains it the best!!! The internet is privileged to have this channel! Exam saver!!!!!
Thank you so much, I really want to pick up statistics but it can be so overwhelming, it is so great to have a source of truth, this comprehensive, explained so well, available freely online. You sir are a hero in my book.
I watched a couple of videos for this topic and only your video explains everything clearly. You have the super powers to get points across. Saver indeed!!!
It can vary depending on what text book you are looking at, and what exam board / exam question you may be doing. In my experience I have come across a wide range of values.
Wow!! Finally understood the "include the value" vs. "not include the value." I am not even done with the video. Thank you. Do you have a name? I am sure you do.
This is exactly what I have been looking for in the last two months. The thing is that I am making a project about an inventory model called “Fixed period” where one of the assumptions is that my demand has a normal distribution, and since I have the 365 observations of the same object, when I make the histogram, it looks like a Gaussian Bell, so I was so confused, because my Random Variable is discrete but the Normal disteibution is continuous, so I was wondering: how can I treat a discrete distribution with the normal distribution? So, this is the perfect answer to my question: using continuity corrections. Thanks a lot!
thank you so much, just watched all your videos for Unit 4 a-level maths for my exam in 7 hours on 2x speed, really helpful to recap the day before my exam :)
Thank you for explaining this to me. But I was always wondering why they put boxes around the exact value instead of putting boxs between two exact values (say putting box between 27 and 28 for area of probability of 27 and so on). Is it for better approximation purposes?
The Edexcel Pearson S2 books gives to "simple rules for continuity correction: 1)first write your probability using « or ». 2)for P(x«n) you approximate by P(y
Does seem a bit pointless as it would be easy to work out without an approximation. I have never come across the need for it but if i had to I would use a continuity correction from -0.5 to 0.5
oh, that's mean we only use continuity correction when the question changes from bionimal to continuous???? how about the question that given X~N(mean, variance). then do we still use the continuity correction????
+ExamSolutions waiiitt.. how do we do the continuity correction when the random variable X is P(X=A)? Is it already done as we expand this probability into P(X
For P(X>28) why isn't the continuity correction P(X≥ 28.5) ? Because including 28.5 doesn't round it to 28, right? So why is it ">28.5"? And similarly with P(X≥ 31) --------> P(X≥ 30.5)? Someone help me please! =)
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I watched multiple videos on this and I didn't understand when it was necessary to use the continuity correction and when not.. This video explains it the best!!! The internet is privileged to have this channel! Exam saver!!!!!
my teacher explained this to me many times but i did not understand. u really make maths easy, thank u :)
Thanks, that's the aim. Get rid of the mystery
a tip : you can watch movies on flixzone. Been using it for watching a lot of movies during the lockdown.
@Tristian Zane yup, have been using flixzone for years myself =)
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hows life goin
much easier to understand with graph, thanks a lot!
No problem. Glad you found it helpful.
Thank you so much, I really want to pick up statistics but it can be so overwhelming, it is so great to have a source of truth, this comprehensive, explained so well, available freely online. You sir are a hero in my book.
This was so much better than my prof's explanation. Thank you!
You're welcome
I watched a couple of videos for this topic and only your video explains everything clearly. You have the super powers to get points across. Saver indeed!!!
This guy is a lifesaver! I don't know how to thank you enough.
You are a blessing to many. Thank you so much. Love from Africa. Zimbabwe and Mozambique.
Thank you!
Very clear step-by-step explanation. Thanks for the video!
Thankyou a lot. Got full UMS last year in Maths thanks to you, hope I can get an A* too.
I could just not visualise Continuity Correction at all. Finally you made it so simple. Thank you so much, Cheers!
No problem.
Yes. You always use it if you are approximating the Binomial or Poisson distributions to a Normal.
It can vary depending on what text book you are looking at, and what exam board / exam question you may be doing. In my experience I have come across a wide range of values.
Thank youuu so much! I understand this so much better now! :)
13 minutes well-spent!
Wow!! Finally understood the "include the value" vs. "not include the value." I am not even done with the video. Thank you. Do you have a name? I am sure you do.
he's called Stuart :)
Your explanations make so much sense!! Thank you!
This is exactly what I have been looking for in the last two months. The thing is that I am making a project about an inventory model called “Fixed period” where one of the assumptions is that my demand has a normal distribution, and since I have the 365 observations of the same object, when I make the histogram, it looks like a Gaussian Bell, so I was so confused, because my Random Variable is discrete but the Normal disteibution is continuous, so I was wondering: how can I treat a discrete distribution with the normal distribution? So, this is the perfect answer to my question: using continuity corrections. Thanks a lot!
Wonderful video! Helped me understand the concept clearly/
thank you so much, just watched all your videos for Unit 4 a-level maths for my exam in 7 hours on 2x speed, really helpful to recap the day before my exam :)
Hope the exam went well. Best wishes.
Thank you, that was simple to understand. Now back on studying for tomorrow xd.
Very good explanation. Thank you!
Omg u are so good sir. Thank you so much. I understand the whole concept❤️❤️
Absolutely brilliant!!!! You're a lifesaver!
thank you sooooo much for this video! It was so helpful!
Thank you for watching and pleased to hear it helped. Best wishes.
Great explanation! Thank you for your work and insight.
thx for explaining!
Yes - Stuart. Check out my website for further details.
Thanks so much, this is the best!
You're welcome! All the best Pia!
Excellent help, thanks!
This is great
Thank you very much
Very helpful, thank you!
Very helpful, thank you.
Thank you sir!
Thank you for this!!
Fantastic. Thank you.
great tutorial!!!!!!!
great explanation
you da real homie
Thank you!
so useful thnks so much
thank you
I cannot write it in a RUclips coment but you can see it when you play a video at the start or at the very end.
Thank you for explaining this to me. But I was always wondering why they put boxes around the exact value instead of putting boxs between two exact values (say putting box between 27 and 28 for area of probability of 27 and so on). Is it for better approximation purposes?
If you had to use a continuity correction, would you then use the Normal Distribution to approximate the Binomial/Poisson Distribution?
Thank you soo much :)
British accent is always so charming :)
Pleasure
Did I mention how awesome you are? Thanks!
In the Normal approximation to the Poisson, Lambda should be greater than 15, not 20. (general rule)
Cheers
You're the best!
You know how to win friends!
Does it have to be binomial or Poisson? Can it just be any discrete distribution that looks normal?
Good stuff
- Fellow Math Whiz
I was wondering will the corner of the box poking out of the curve be included for p(x=33) ?
Thanks.
Stuart can you send me you website link? Thanks.
when u do hypothesis testing do you have to apply continuity correction even if X~Po (7)?
+Rabia Maqsood Yes, if you ever approximate it to a continuous distribution
The Edexcel Pearson S2 books gives to "simple rules for continuity correction:
1)first write your probability using « or ».
2)for P(x«n) you approximate by P(y
Moshe Simon It's not wrong, that's what I am doing.
For your second last example, shouldn't it be P(X≥ 30.5) ?
^^
Do we need to apply the continuity correction for 0?
Does seem a bit pointless as it would be easy to work out without an approximation. I have never come across the need for it but if i had to I would use a continuity correction from -0.5 to 0.5
oh, that's mean we only use continuity correction when the question changes from bionimal to continuous????
how about the question that given X~N(mean, variance). then do we still use the continuity correction????
No as this is a continuous distribution.
+ExamSolutions thx help alot
+ExamSolutions waiiitt.. how do we do the continuity correction when the random variable X is P(X=A)? Is it already done as we expand this probability into P(X
Yes, you can do it that way.
+ExamSolutions thank you do mucj
Oh then you must be right. :)
❤️
For P(X>28) why isn't the continuity correction P(X≥ 28.5) ?
Because including 28.5 doesn't round it to 28, right? So why is it ">28.5"?
And similarly with P(X≥ 31) --------> P(X≥ 30.5)?
Someone help me please! =)
It depends on the sign,not the number.Consider x as a value:
P(X>x) it is x+0.5
P(X=x) it is x-0.5
P(X
So basically the continuity correction will only have ">" or "
mahela 27 I was using iPad and it applies to all of them,including the equal to sign.
is it wrong in your example if l say p(X
a continuous distribution cannot equal a given amount hence why its continuous
@@DedziBlud wrong, for a continuous distribution, they are the same thing
dab
THANK YOU!