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Dr. Vivian
Canada
Приєднався 25 січ 2020
Welcome to my channel. In this channel, I will upload many educational videos about mathematics, probability, statistics, financial mathematics and programming. If you like it, remember to subscribe my channel, share your comments with me and Thumb up my videos :)
Probability - Normal Distribution & Percentile
In this video, we use several example to introduce the normal distribution, standard normal distribution and the percentile.
Переглядів: 127
Відео
Probability - Exponential Distribution Example
Переглядів 8014 днів тому
In this video, we will continue our introduction of special case for continuous random variable, the Exponential Distribution. We work through exercise and example to review the probability density function, cumulative distribution, parameter lambda, mean, variance and standard deviation and its memoryless property
Discrete Mathematics - Directed Graph of Relations
Переглядів 444Рік тому
In this video, I'll explain how to use directed graph to representing a relation.
Discrete Mathematics - Matrix Representing of Relations
Переглядів 336Рік тому
In this video, I'll explain how to use matrix to represent relations. And what's the characteristics of the matrices for reflexive relation, symmetric relation and antisymmetric relations.
Discrete Mathematics - n-ary Relations
Переглядів 3,6 тис.Рік тому
In this video, I'll introduce the n-ary relations with examples
Discrete Mathematics - Combine Relations / Composition
Переглядів 147Рік тому
In this video, I'll introduce how to combine two relations as a composition (composite). I'll also provide example to explain the definition.
Discrete Mathematics - Antisymmetric Relation & Transitive Relation
Переглядів 269Рік тому
In this video, I will introduce the definition and several example of Antisymmetric relations and transitive relations
Financial Mathematics & Actuarial math - Simple Interest Rate, Accumulated Amount Function
Переглядів 1582 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html In this video, we introduce important topics in financial mathematics and actuarial science. We will introduce the definition of simple interest rate, and its different with compound interest rate. We also explain the accumulated amount function and how to use this function to computer initial amount, interest rate and investment period.
2 Hours Study With Me, Library Noise, No Break
Переглядів 872 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html?view_as=subscriber I hope this study video will help you avoid using social media while you study. I hope that helps you know that people are studying with you! I also upload videos to teach several topics in mathematics, statistics, Python and Financial mathematics. Please subscribe my channel for more videos!
Financial Mathematics & Actuarial math - Compound Interest Rate, Accumulation
Переглядів 1582 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html In this video, we introduce important topics in financial mathematics and actuarial science. We will use definition and example to introduce different types of interest rate, compound interest rate, formula of accumulated value after n years.
Financial Mathematics & Actuarial math - Time Value of Money, Interest, Interest Rate
Переглядів 802 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html In this video, we start to introduce the first and important topics in financial mathematics and actuarial science. We will use definition and example to introduce the time value of money, interest, interest rate, principal, final balance.
2 Hours Study With Me, Background Noise, No Break
Переглядів 3472 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html?view_as=subscriber I hope this study video will help you avoid using social media while you study. I hope that helps you know that people are studying with you! I also upload videos to teach several topics in mathematics, statistics, Python and Financial mathematics. Please subscribe my channel for more videos!
Statistics - Z test
Переглядів 903 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html?view_as=subscriber In this video, I'll introduce how to use Z test to do hypothesis test of a Normal distribution's population mean when its population variance is known.
Statistics - Type I Error & Type II Error & P-value
Переглядів 1343 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html?view_as=subscriber In this video, I'll introduce type I error, type II error, and p value in hypothesis testing in statistical inference.
Statistics - Hypothesis Test
Переглядів 763 роки тому
ua-cam.com/channels/rzRcInhaT080LBvnQUXvlw.html?view_as=subscriber In this video, I'll introduce some terminology and steps of hypothesis testing.
Statistics - Confidence Interval of Population Proportion
Переглядів 693 роки тому
Statistics - Confidence Interval of Population Proportion
Statistics - Confidence Interval of Population Mean for Population Variance Unknown
Переглядів 963 роки тому
Statistics - Confidence Interval of Population Mean for Population Variance Unknown
Statistics - Confidence Interval of Normal distributed Population Mean for Population Variance Known
Переглядів 1113 роки тому
Statistics - Confidence Interval of Normal distributed Population Mean for Population Variance Known
Statistics - Confidence Intervals/Statistical Intervals
Переглядів 973 роки тому
Statistics - Confidence Intervals/Statistical Intervals
Statistics - Distribution of Difference Between Two Random Sample Means
Переглядів 1683 роки тому
Statistics - Distribution of Difference Between Two Random Sample Means
Statistics - General Concepts of Point Estimation
Переглядів 1,1 тис.3 роки тому
Statistics - General Concepts of Point Estimation
Statistics - Probability Plot (QQ plot)
Переглядів 1913 роки тому
Statistics - Probability Plot (QQ plot)
Statistics - Histogram & Frequency & Relative Frequency & Cumulative Frequency
Переглядів 1033 роки тому
Statistics - Histogram & Frequency & Relative Frequency & Cumulative Frequency
Statistics - Stem & Leaf Plot & Quartile & Percentile
Переглядів 2 тис.3 роки тому
Statistics - Stem & Leaf Plot & Quartile & Percentile
Statistics - Numerical Summary of Data
Переглядів 3813 роки тому
Statistics - Numerical Summary of Data
Probability - Linear Function of Random Variables
Переглядів 1,1 тис.3 роки тому
Probability - Linear Function of Random Variables
Probability - Mean & Covariance & Correlation of Two Random Variables
Переглядів 3823 роки тому
Probability - Mean & Covariance & Correlation of Two Random Variables
Why is this Playlist not popular good explanation
nice
Lifesaver!!!!
Thank you very much.
Thank you! This is very helpful.
Thank youuuu so much
Very well explained, thank you very much.
how would we find the cdf of that
Amazing video! Such a clear explanation on such an intricate topic! Thank you!
Thank you so much, this helped a lot
Thank you so much! I did get different answers but this explanation is priceless
thankss
can you find the upper and lower limit without a rough graph?
Thank you, this is super useful!
Very helpful, thank you so much!
Very helpful, thank you so much!
Hi, Vivian, I am a student majoring in statistics. Thank you so much for your video. I was struggling to find the lower and upper bounds for the joint probability of two continuous random variables. Your video is awesome. 你好Vivian, 非常感谢你用适中的语速娓娓道来地讲述知识点。You are a saver indeed.
Thank you for your class !
Thank you alot🔥🔥🔥🔥🔥much love from South Africa l🇿🇦
thanks alot i was really lost my lecturer counldnt explain a thing properly but now i get a hang of this thing
Great explanation, it helped me to recall my math class. Thanks!!
thank you so much, it's very helpful
Speak loudly . Nobody CAN HEAR YOUR VOISE , RE-UPLOAD THIS VIDEO WITH BETTER AUDIO
fr
this video cleared my doubts. thank you!
Such a well explained part that I was struggling with Thank you so much
thank you!
Thank you
You deserve the world!!
this is great, thank you!
Thanks,watching from Kenya and it was helpful
Amazing, what a great explanation. Thanks so much!
10:44, did you swap the position of dx dy? Shouldn't be dx on the outside, for integrating from -infinity to b, and dy on the inside for integrating from -infinity to a?
Thank you for this. Yes, I use P(x<a, y<b) on left hand side, so I should also use -infinity to a for dx and -infinity to b for dy.
Ma'am, thank you so much.
I stopped watching this. Unprapre. doesn't how us how to get 32 c
This is so confusing. really confusing
amazing explanation
Thank you! I haven't been able to find any other examples where x depends on y in the support, all other videos are something like 0<x<1 ; 0<y<2 So this was very helpful!
Thank you soooooooooo much. I never got this in class but here. Thank you. :)
Thanks
Sorry. I think that c is another value : C=3/32.
Its correct
Please make more probability videos
Good quality explanation.
Thank you thank you thank you! You saved me for my exam tomorrow. I needed help on graphing regions with regions including both x and y so thanks so much
A vaccine, when it is administered to an individual, produces no side effects with probability 4/5, mild side effects with probability 2/15 and severe side effects with probability 1/15. Assume that development of side effects is independent across individuals. The vaccine was administered to 1000 randomly selected individuals. If X1 denotes the number of individuals who develop mild side effects and X2 denotes the number of individual who develop severe side effects, then the coefficient of variation of X1+X2 equals......
Thanks
Question: A university bears the yearly medical expenses of each of its employees up to a maximum of 1000$.If the yearly medical expenses exceed 1000$, then the employee gets the excess amount from an insurance policy up to a maximum of 500$. If the yearly expenses of a randomly selected Employee has U(250,1750) distribution and Y denotes the amount the employee get from the insurance policy, then which of the following statement is/are true? (a) E(Y)=500/3 (b) P(Y>300)=3/10 (c) The median of Y is zero (d) The quantile of orde 0.6 for Y equals 100
The correct two should be b and c. Assume X is a random variable of the yearly expense, and Y is a random variable of the amount that the employee get. Then the pdf of Y is a segment function: f(y) = 1/2 when y = 0 and f(y)=1/1500 when 0<y<=750. Let me know if you have any confusion.
Mam I have doubt in statistics...how I can share it with u..
Just leave you question in the comment. I'll reply it or record another video to solve the problem 😀
So that I can share doubts..
Just leave comment under any video. I can reply it or record another video to solve it
May I ask u some doubts related to probability and statistics..if u provide some sharing platform..
Hi..