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David Waldo
Приєднався 25 тра 2012
Evaluating Normal (Gaussian) Probabilities
Evaluating Normal (Gaussian) Probabilities
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Відео
Normal (Gaussian) RV, Standard RV
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Normal or Gaussian random variable and standard normal random variables.
Continuous Random Variable Cumulative Distribution
Переглядів 59 тис.12 років тому
Continuous Random Variable Cumulative Distribution
Continuous Random Variables, Mean and Variance
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Continuous Random Variables, Mean and Variance
Poisson Approximation to the Binomial Distribution
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Poisson Approximation to the Binomial Distribution
Cumulative Distribution Function
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Cumulative distribution functions and examples for discrete random variables.
Covariance and Correlation Coefficient
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Covariance and Correlation Coefficient
Joint Random Variables
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Joint random variables and joint distribution functions.
Expected Value, Mean, Variance, Standard Deviation
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Expected Value, Mean, Variance, Standard Deviation
Discrete Random Variables and Distribution Functions
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Discrete Random Variables and Distribution Functions
Total Probability and Bayes Theorem
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Total Probability and Bayes Theorem
Axioms and Properties of Probability
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Axioms and Properties of Probability
Experiments, Sample Spaces, Set Operations
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Experiments, Sample Spaces, Set Operations
Counting and Binomial Coefficients
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Counting and Binomial Coefficients
Counting Elements, Product Sets, Partitions
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Counting Elements, Product Sets, Partitions
Sets, Venn Diagrams and Set Operations
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Sets, Venn Diagrams and Set Operations
amaizing
how probability of 2 is 1/5 while sample space is 4 element
Thank you so so so much!
I am reading it after 11 years😅 it means I was just 9 years old that time...LOL
Nice video sir David!
♥😇♥
Good work
wonderful
thanks man you helped me out a lot.
Was helpful! Thank you!
thank you so much
If the sample is 5 then the chance is 1/5? Since there awe only 4 in the sample space, shouldn’t it be 1/4 of the chance to get 2?
This was exactly what I needed to see, thanks!
Can you send me pdf or ppt
Great lecture, i was in trouble trying to understand why we would have rational values into the cdf function. Now i have some idea, thank you!
Thanks for this
my lord -please suggest simplest book -thank u my lord
Where's Waldo
Such an underrated vid.
Great vid!
Its November 2020 💐
video number 25 and still no total probability formula of P(A/B)
plz explain the how you take prob.of f(1),f(2),f(3) and f(4) in the last question
why did you subtract 1 from fx in first question
Thank youuuuuuu
best explanation!
Good
Cannot show the whole lecture during the slide of vice hide the some line of lecture
thank youuuuuuuu u save me .. coz my chinese teacher dosnt explain in this easy way
OBRIGADO!
nice sir
Thank u sir
Woah, that's a great explanation. But what's the probability of choosing 1 ball out of infinite balls...?? Please explain.
I have a question about that explanation at 10:28 When u say A (complement) does not that mean the space of everything apart from elements of A(all elements outside of A and everything that has aA in it)?...and if that is so.... why do u involve AnB bcos it has elements of "A" in them? What i am trying to say is that i dont think we should be adding 0.22.
S should be: S={1,2,2,3,4}
You are two good.
thank you so much this video saved my life
U r awesome
Why do you use the X+Y notation?
This saved me on some last hour homework.
This was great, thanks a lot !
Nicely explained. Thank you.
merci beaucoup pour cette video
MVP <3
for F(x)=0<x<1 I did not understand the math behind how we figured out that it was x squared, why 2tdt? thank you !
Hi, great video! Im looking for more information on why the distribution function is important in a real world application. I get why in an experiment why you would want to know the probability that your experiment will achieve your goal as described by the probability mass function but what would the distribution function tell you about the data you will collect?
Thanx from algeria ❤❤
That was awesome.Thankyou
Nice explanation!! Thanks
Awesome