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Bill Shillito
Приєднався 28 тра 2006
[MATH 1401 Elementary Statistics] Summarizing Inferential Statistics
[MATH 1401 Elementary Statistics] Summarizing Inferential Statistics
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Відео
[MATH 1401 Elementary Statistics] Testing Means
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[MATH 1401 Elementary Statistics] Testing Means
[MATH 1401 Elementary Statistics] Testing Proportions
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[MATH 1401 Elementary Statistics] Testing Proportions
[MATH 1401 Elementary Statistics] Type I and Type II Errors
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[MATH 1401 Elementary Statistics] Type I and Type II Errors
[MATH 1401 Elementary Statistics] Hypothesis Testing
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[MATH 1401 Elementary Statistics] Hypothesis Testing
[MATH 1401 Elementary Statistics] Estimating Means
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[MATH 1401 Elementary Statistics] Estimating Means
[MATH 1401 Elementary Statistics] Estimating Proportions
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[MATH 1401 Elementary Statistics] Estimating Proportions
[MATH 1401 Elementary Statistics] Sampling Distributions: Means
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[MATH 1401 Elementary Statistics] Sampling Distributions: Means
[MATH 1401 Elementary Statistics] Sampling Distributions: Proportions
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[MATH 1401 Elementary Statistics] Sampling Distributions: Proportions
[MATH 1401 Elementary Statistics] z-Scores
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[MATH 1401 Elementary Statistics] z-Scores
[MATH 1401 Elementary Statistics] The Normal Distribution
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[MATH 1401 Elementary Statistics] The Normal Distribution
[MATH 1401 Elementary Statistics] The Binomial Distribution
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[MATH 1401 Elementary Statistics] The Binomial Distribution
[MATH 1401 Elementary Statistics] Random Variables
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[MATH 1401 Elementary Statistics] Random Variables
[MATH 1401 Elementary Statistics] Conditional Probability
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[MATH 1401 Elementary Statistics] Conditional Probability
[MATH 1401 Elementary Statistics] Sequential Events
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[MATH 1401 Elementary Statistics] Sequential Events
[MATH 1401 Elementary Statistics] Basic Probability Rules
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[MATH 1401 Elementary Statistics] Basic Probability Rules
[MATH 1401 Elementary Statistics] Introduction to Probability
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[MATH 1401 Elementary Statistics] Introduction to Probability
[MATH 1401 Elementary Statistics] Sampling Methods
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[MATH 1401 Elementary Statistics] Sampling Methods
[MATH 1401 Elementary Statistics] Linear Regression
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[MATH 1401 Elementary Statistics] Linear Regression
[MATH 1401 Elementary Statistics] Examining Relationships
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[MATH 1401 Elementary Statistics] Examining Relationships
[MATH 1401 Elementary Statistics] Standard Deviation
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[MATH 1401 Elementary Statistics] Standard Deviation
[MATH 1401 Elementary Statistics] Measures of Spread
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[MATH 1401 Elementary Statistics] Measures of Spread
[MATH 1401 Elementary Statistics] Shape of a Distribution
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[MATH 1401 Elementary Statistics] Shape of a Distribution
[MATH 1401 Elementary Statistics] Measures of Center
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[MATH 1401 Elementary Statistics] Measures of Center
[MATH 1401 Elementary Statistics] Displaying Data
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[MATH 1401 Elementary Statistics] Displaying Data
[MATH 1401 Elementary Statistics] Types of Data
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[MATH 1401 Elementary Statistics] Types of Data
[MAT 131 Calculus I] Lesson 24 - Proving the Fundamental Theorem of Calculus
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[MAT 131 Calculus I] Lesson 24 - Proving the Fundamental Theorem of Calculus
[MAT 131 Calculus I] Lesson 23 - Valuable Theorems
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[MAT 131 Calculus I] Lesson 23 - Valuable Theorems
[MAT 131 Calculus I] Lesson 22 - Limits and Integration
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[MAT 131 Calculus I] Lesson 22 - Limits and Integration
[MAT 131 Calculus I] Lesson 21 - Limits and Differentiation
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[MAT 131 Calculus I] Lesson 21 - Limits and Differentiation
You must have a phd in yapping 😂😂
New and exciting ways to confuse flat earthers.
This was strange. Just 20 minutes ago, I was imagining making a video where a curve that looks like a parabola up close is actually an ellipse when you zoom out. And then I get recommended this!
Great video!
Came for the graphics, stayed for the graphics I feel like I just wasted a little over 10 minutes on math I didn't bother to understand... Of course it's totally a me problem but I still feel a bit miffed about it :P I wonder what happens if you make the lines stop being parallel and slowly converge at some point but never quite touch That probably sounds silly when you think about it but I want to experiment with it
But perspective doesn't turn parallel lines into intersecting lines, it turns them into curves...
like how you used your own music for the intro
9:37 I bet this is related to the fact that gravity draws parabolas (at our scale) but also elipses (at very big scales).
Excellent.
I don't understand a thing of what this video said. But it reminds me of when I heard that anything is possible at infinity.
Just wow.
18:44 THE SIXTH DIMENSION????????
The Fermat’s Last Theorem cameo hit me like a ton of bricks
🙏🙏👍👍
Moar
Fantastic video.
dang it, now I have to deal with another fundamental theorem too?
6:40 wouldn't it be more accurate to say that bd/ad≈b/a which in fact can be very far from 1 Edit: nvm I'm dumb
what do you mean far from 1, he is talking about distance between the points. It can be approximated to be equal
@@Memories_broken_ makes sense, I was tired when I wrote it and was certain it was b*d/(a*d)
Very good video
👏🏻👏🏻👏🏻👏🏻
This helped me find where to look for more information about the point at infinity. Thank you!
11:11 YES. finally someone said it -∞ and +∞ are the *same*. everything works the same at that. one graph that shows this very well is y=1/x, where both go to ∞. it looks like different directions, but really the number line just loops at infinity.
Not really
This video has made so many things so much clearer to me.
10:02 At last, I understand homogeneous coordinates
If a parabola can be viewed as an ellipse through perspective, how does the directrix come into play here, I’m interpreting this as meaning that ellipses have their own equivalent of a directrix, and by extension, the rest of the conic sections do as-well.
18:44 chatgpt said a complex projective plane can be represented in a 4d real manifold, not 6d, is this correct?
Mind opening! Well done 🙏
Wow!
26:36 you mean, once you circle the last number that is less than the square root...
Beautiful Explanation!! You deserve an oscar👌👌👌👌👌
1:18 1:14
Hi Bill! A question: Where did the "1.5" factor for the outliers estimation come from?
Excellent!👌
thank you so much for posting these, you teach so well! so concise yet nothing important is left out. I tried so hard to learn thru just reading the textbook and it seemed impossible. but one video of yours made it seem so easy!
i like art and math and geometries ths is for me
This is the best video on that topic so far, your visualizations are extremely helpful
Great video Mr Shillito! It solved many of my questions. Thank you very much!
Not just bikes past this along. Jeez
Very well explained!
You said we dont really have the tools to prove the power rule. But why not look at the limit of the quotient of delta f over delta x and expand the power?
It's because in this particular implementation of a calculus course, limits aren't actually covered until the very end, starting in Lesson 19. Limits were actually introduced very late in the history of the calculus as a way to tie up loose ends, so I wanted the course to reflect that - learn to get your hands dirty first, and then open up the hood and see what's going on inside!
@@BillShillito I understand. Thanks. Now that I think about it, I think the type of explanation I mentioned was given to me also not in high school but later, in university.
I'm confused, isn't this sampling distribution closer to a binomial distribution? And it only looks like a normal distribution (in the limit) when p is far from 0 or 1? Edit: ahh, you have a sample size qualification that accounts for p and q! Carry on then :)
Bottom caption at 18:37 - sorry, no can do. Even Mr. Mxyzptlk couldn't (one dimension too many).
projective algebra is the coolest thing ive ever seen
what is the intro music?
thank u very much
20:20 lmfao
15:23 Why are you allowed to just add z?
Thanks
Thank you for your simple explanation