02 - What is the Central Limit Theorem in Statistics? - Part 1
Get more lessons from this course at www.MathTutorDVD.com.
In this lesson, the student will learn about the central limit theorem in statistics. First, we will discuss what the central limit theorem is and why we use it in statistics. Next, we will solve problems that involve the central limit theorem and get comfortable with the concepts by working examples.
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Teacher , you are the best statistics teacher ever. I am really respect you.
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@MathAndScience
3 жыл бұрын
Thank you Jim - I appreciate this so much! Jason
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one of the best explanations I have ever seen on CLT
@PhysicsThroughComputation
3 жыл бұрын
Central Limit Theorem : Theory, Code, Visualization : All in one is here : kzread.info/dash/bejne/k3hppNCicaTbdM4.html
Of all the learning materials ( mostly paid) I have used to try to understand this, none explains this concept as simple as you have done. You are definitely a great teacher
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I watched about ten videos explaining central limit theorem but you are the only sir who made to get the concept in my mind... thanks sir...👍
the best statistics video out there currently.
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I have completed an entire subject on statistics and probability and I have never fully understood the concept of CLT until I saw this video. Explanation was crystal clear and pin point. Thank you sir.
A great teacher who can make difficult abstract concepts easy to understand!
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That's pretty clear, intense, and useful; thank you.
I love the way you explain this. I'm a tutor at University of KwaZulu-natal(UKZN), so I'm passionate about it. I'm always watching your videos before going to explain things to my students. Thanks keep up the good work
@PhysicsThroughComputation
3 жыл бұрын
Central Limit Theorem : Theory, Code, Visualization : All in one is here : kzread.info/dash/bejne/k3hppNCicaTbdM4.html
Crystal clear. By repeating different concepts throughout the presentation the ideas behind the Central Limit Theorem are made to seem almost inevitable. Great presentation.
Thanks, best explanation by far on KZread in this topic
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Thank you so much Professor you’re so very helpful with your amazing lectures!
Sir, you've made me love doing stats. Thank you very much for your videos on sampling distribution
Your instructions are great refreshers for me. Great instructional video!
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You are a fantastic teacher Jason.The way you explain the concepts is absolutely beilliant. Thanks for sharing your knowledge.
@MathAndScience
5 жыл бұрын
Thank you!
Perfect class to understand the central limit theorem. Very well done!!! Thanks a lot for the video!
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@MathAndScience
4 жыл бұрын
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It's so easy to memorize when you explain sir..this doesn't happen for other videos ..
I love how you tell us at the beginning to stop and go back to previous lessons lol -- super helpful.
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@MathAndScience
4 жыл бұрын
You are welcome!
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Amazing thank you, I was so overwhelmed trying to figure this out and you made it clear. Was there ever a part 2?
I had this topic today i was lost in the lecture but this surely has given me the understanding and confidence to pass my exams. Thank you for uploading your lectures.
Thank you so much, I am currently studying to become a Data Scientist and during the course of statistics I struggled so much to understand why things were the way they were but your lesson greatly helped me. God bless you, Sir!
@sktdebnath
2 жыл бұрын
Exactly. He is a genius
The last 8 minutes made everything clear.
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One of the best video which I have seen for Central Limit Theorem...Nice Explanation....
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@MathAndScience
4 жыл бұрын
Thank you so much! Jason, MathAndScience.com
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Great teacher. Great class.
One of best explanations on central limit theorm... Respect from India🙏
Amazingly simple and clear.thanks
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Great explanations! Thank you!
Excellent work on Sampling Distribution of Means
Excellent presentation in a very simple format.
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I wish I had a mathematics teacher like you when I was in college. I earned minors in math and computer science, but had a lot of trouble understanding the concepts behind some of the topics we studied. Right now I'm studying for a 6 Sigma certification and we're reviewing the CLT. The lecturer is someone for whom English is a 2nd language, so he misuses words and his accent makes some words difficult to understand. You made the topic wholly understandable for me. Thank you.
@PhysicsThroughComputation
3 жыл бұрын
Central Limit Theorem : Theory, Code, Visualization : All in one is here : kzread.info/dash/bejne/k3hppNCicaTbdM4.html
@mlpreiss
3 жыл бұрын
@@PhysicsThroughComputation Exactly.
@PhysicsThroughComputation
3 жыл бұрын
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the best video about this topic one could ever find on the internet
@MathAndScience
3 жыл бұрын
Thank you!
Great... thank you for making statistics more interesting by the way u teaching
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One of the best lecturer in the world
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Thanks for explaining it in simple manner. I got confused while doing a data science course.
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This lecture has made prints on my brain to understand and keep the central limit theorom in there
Thank you Teacher! Best wishes to you.
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A magical teaching.
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crisp and clean explanation
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@MathAndScience
3 жыл бұрын
I’m Jason and thanks so much!
@arunbasker6049
3 жыл бұрын
Math and Science Hello Jason, I am in the med device manufacturing engineering field and I was am trying to brush up the basics before I jump into the higher level topics. Very few people possess the ability to explain complicated concepts in simple words like you do. Thank you for posting these videos, you are making a tremendous impact on people lives! 👍🏼
@MathAndScience
3 жыл бұрын
Thank you so much!
I love that you included an explanation on why I should care about this
Legendary level
Congratulations Sir, am really having much impact into your lessons. Thanks.
Great explanation! Thank you!
how many sample sets from the population whould be enough to give the normal disribution beacuse ok how many of those sets of 30 observations would i need ( I am assuming we are not looking at the whole population that is to much work
Thank you very much! You are making my life easier:)
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Thanku sir for such an nice explanation...u made it very clear.
The central limit theorem states that if you have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement , then the distribution of the sample means will be approximately normally distributed