![UTM MCS Math Videos](/img/default-banner.jpg)
- 39
- 288 903
UTM MCS Math Videos
Registrace 3. 01. 2013
We hope you find these videos helpful in understanding First Year University Math Concepts. Each concept is explained through the use of examples.
Mathematical and Computational Sciences Department, University of Toronto Mississauga
Mathematical and Computational Sciences Department, University of Toronto Mississauga
Video
Maximization and Minimization of Functions of Two Variables
zhlédnutí 9KPřed 7 lety
Just-in-Time Videos - Economics: Maximization and Minimization of Functions of Two Variables Presented and Prepared by Charlene Chu in Collaboration with Maria Wesslén and Lee Bailey
Maximization and Minimization of Functions of One Variable
zhlédnutí 6KPřed 7 lety
Just-in-Time Videos - Economics: Maximization and Minimization of Functions of Two Variables Presented and Prepared by Charlene Chu in Collaboration with Maria Wesslén and Lee Bailey
Method of Lagrange Multipliers
zhlédnutí 1,4KPřed 7 lety
Just-in-Time Videos - Economics: Method of Lagrange Multipliers Presented and Prepared by Charlene Chu in Collaboration with Maria Wesslén and Lee Bailey
Posterior Probabilities
zhlédnutí 43KPřed 8 lety
Just-in-Time Videos - Management: Posterior Probabilities Presented and Prepared by Charlene Chu in Collaboration with Maria Wesslén
Tableau Approach
zhlédnutí 1KPřed 8 lety
Just-in-Time Videos - Management: Tableau Approach Presented and Prepared by Charlene Chu in Collaboration with Maria Wesslén
Conditional Probability and Chain Rule MCS
zhlédnutí 5KPřed 9 lety
Conditional Probability and Chain Rule MCS
The Definite Integral and Riemann Sums
zhlédnutí 4,9KPřed 10 lety
The Definite Integral and Riemann Sums
Wonderful
Thank you ... super clear
I don't know how question 4 and question 6 are calculated, but my answer is different from the answer in the video. My answer is negative infinity and ln(7/5) for questions 4 and 6 respectively after double checking with desmos and wolframalpha.
Is this Newton method ?
wheres the Tableau? :/
too much help full vedio.. thanks a lot
Wonderful lesson, still reasonating easy and simple 6years later. Thank you for all you do.
nicely explained
Oke thanks your information learning
Thanks for the educational video fellas😀
Hello MAT132 lol
sandwich om nom
doing the theorem made me so hungry I had to actually go and make myself a PB&J it tasted soo goood
Thx great video. How do you come up with the probabilities for success?
@3:37: Hi...Your choice is wrong because of a mathematical problem at 3:37. EMV node 3 should be 21,350Usd and not 40,250usd. Thus making the choice of Manufacturing a very bad decision. Please revise and repost. For the record, i learnt from you. So thanks anyway. Blessings! 2021 here
What is your mic?
Limit from formal definitions..
Thank you
ms. Charlene , your voice is soothing but not domineering, helped me concentrate on topic not get a hard on. You're wonderful
Thanks po!
THE BEST THANK U
Thanks for sharing the knowlwdge
Thank you and well explained
love the Silicon Valley Reference with Hooli!
I have a question: In the Multistage problem given for practice near the end of this video, I see the final decision was only about choosing the first stage decision ( i.e. choosing of Investment A due its Higher EMV value than that of B ). Do we stop at that point? Or Should the final answer also include, the decision at the 2nd stage? ( i.e. after choosing Investment A, then we arrive at decision node 4. Which one to choose at that node? In short: Should the answer also speak about the consequent decisions after the main 1st stage decision.?
answer is wrong for question 3
Nice one but could solve a complex problem. Thanks
shut up nerd
NICE
why does she use 0.2 for P(fair | up) and not 0.18? (5:42)
The condition is what is the fair condition condsiding the stock market going up.
0.18 is the product of P (A and B) so in the table she has calculated the product of P(A) * P(B given A), where A is price going up. By the way, P(B given A) for (fair market given price going up) is already given in the question which is 0.2. Cheers :)
She did it wrong
Excellent.
Super clear!
Thanks (Y)
hi waffa
THE MATH MAN IS WRONG ON QUESTION4?!?!?
Hello. Could you help out with the problem below. . A large steel manufacturing company has three options with regards to production: (i) produce commercially (ii) build pilot plant (iii) stop producing steel. The management has estimated that their pilot plant, if built, has 0.8 chance of high yield and 0.2 chance of low yield. If the pilot plant does show a high yield, management assigns a probability of 0.75 that the commercial plant will also have a high yield. If the pilot plant shows a low yield there is only a 0.1 chance that the commercial plant will show a high yield. Finally, management’s best assessment of the yield on a commercial -size plant without building a pilot plant first has a 0.6 chance of high yield. A pilot plant will cost N300,000. The profits earned under high and low yield conditions are N12,000,000 and N1,200,000 respectively. Find the optimum decision for the company.
Nice thanks
question 5 answer is ln(7/5) not ln(7/2)
you are right
product and sum rules, cant think of an easy example?
yeah, the example was unnecessarily confusing
it is still unclear as to whether to decide independant or mutually exclusive, first child is boy and second child is girl can be mutually exclusive they arent happening at the same time. so how to decide
thanks jaimal i will miss you in my tuesday thursday lectures T_T
veri nice i appreciate
the derivative of xcosx is cosx-xsinx
thank you
Excellent
For example 6, the alternative method of differentiation- The steps were unclear. I do not understand how you reached that answer. Thank you.
Where did the probabilities come from?
That's a good question! My understanding is they are estimates about the accuracy of the test market study. People always leave out where they get these from in the textbooks!!!. Where do you get the probabilities? I think it would come from historical data. You look at past studies and see which demand conditions materialized after the historical studies. In this case, 9.8% of the time, low demand materialized after a favorable study, 39.4% of the time Medium demand materialized after a favorable study, and .507% of the time, high demand materialized after a favorable study. These add up to one. You need history to do this. My hope would be that a good market research firm would have these probabilities available if they do these kinds of studies all the time. If they couldn't provide such values, I'd be pretty disappointed, and I'd wonder how many times they'd actually done such a study. If picking stocks based on recommendations from analysts, it might be easier to come up with the probabilities because they often publish their recommendations, and you can see whether their recommendations actually panned out. You could use this data to generate probabilities for say, low, medium and high returns based on favorable (buy) or unfavorable (sell) recommendations.
Thanks
I need help understanding example 2, why is it not .03/0.8 ? I'm working under the assumption that all doctorate degree holders are master degree holders that is they are part of the .08(master degree holders ==all postgraduate) . if my assumptions are correct, wouldn't the answer be .03/.08 and not .03/.11?
nevermind, I just read "But not doctorate degree holders) silly me :)
Really help me out!
great video. thanks for sharing the knowledge!!