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Again sheer excellence from you, Professor! Its a great addition to the excercise book from the institute, because you explain the concepts in a unique way with good examples and are very pleasant to listen to.
You're very welcome! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a Google review using this link: g.page/r/CQIlM78xSg01EB0/review
Glad you like them! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a review here: trustpilot.com/review/analystprep.com
Great to hear! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a review here: trustpilot.com/review/analystprep.com
You're very welcome! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a Google review using this link: g.page/r/CQIlM78xSg01EB0/review
Hello, Thank you so much for the videos they are very helpful. I would however add two comments: firstly the question at 54:04 is not clear at all. " The probability of a train arriving late in NY, LV, WDC are ..." these should be understood as joint probabilities not conditional probabilities. I think the question needs to be reformulated for clarity. Next I have an issue with 58:50 where one formula is written and another is used. the denominators should all have factorials. This is obviously a typo but could be misleading.
Glad you liked it! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a review here: trustpilot.com/review/analystprep.com
Thank you for this great video. You have a lot of free learning resources here, so you should create a link for people to donate for the continuation of your good work.
Dear Mr. I would need help to understand following related to multiplication/addition rules: 1. if we presume, that two events occured together, how will we decide, if they are dependent or independent? if we seek to calculate the probability of the club winning given that rainy weather, how can we conclud that the rain is conditional or unconditional? If we presume that club won when it was raining 30% time and 70% not (based on what was the case in some period) and we want to know the probability of winning the club if it rains, how we conclude that it is conditional or unconditional probability? it can have nothing to do with weather so each of the results says nothing on the relationship of the two. Could you please share your thoughts? 2. from the examples on addition and multiplication rule you mentioned that multiplication rules concerns independent and dependent situations but on addition rule you mentioned that it concerns mutually exclusive and non-mutually exclusive events. I don't understand. Is it the rule that each independent is non-mutually exlusive and each dependent is mutually exclusive? what is the reasoning behind? if we take an example of the balls in the hat you mentioned, I presume the probability would be calculated differently if we say that the balls are given back to the hat once drawn i.e. what would be the calculation? P(AB) = P(A)P(B) = 16/30x16/30? 3. if we take the balls example from the point 2. above, and we would look for the probability of (A or B), what do instruction can look like and how it can not look like?
In minute 54 problem, im not getting the logic behind it, it only half the trains go to NY, and from those trains only 40% are late, how can the poasibility to pick a random train be late AND in NY be more the 50%?
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Unfortunately, we cannot separate the individual items from the packages. However, you may use the coupon code ANALYST20 for a 20% discount on all our packages.
@analystPrep Thank you very much for uploading the videos. Please note I am planning to opt CFA L1 in May 2023. I am keen to do the prep with Professor James. However, it will great if I could get significant discount.
I don't know what I did to deserve you, Prof. Forjan. But you are a treasure
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@@analystprep done
i don't know what i'd do without these videos! best free cfa l1 content there is!
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From Brazil, learning and watching these amazing class
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Thank you for the well-articulated and simplified explanations.
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Again sheer excellence from you, Professor!
Its a great addition to the excercise book from the institute, because you explain the concepts in a unique way with good examples and are very pleasant to listen to.
You're very welcome! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a Google review using this link: g.page/r/CQIlM78xSg01EB0/review
Great video! Thanks for making these. Super helpful
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I use Schweser materials for my initial studies, but these are SOOO much easier to comprehend then Schweser's review courses!
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Great sessions, watching from South Africa.
Thank you Professor!
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Hello,
Thank you so much for the videos they are very helpful.
I would however add two comments:
firstly the question at 54:04 is not clear at all. " The probability of a train arriving late in NY, LV, WDC are ..." these should be understood as joint probabilities not conditional probabilities. I think the question needs to be reformulated for clarity.
Next I have an issue with 58:50 where one formula is written and another is used. the denominators should all have factorials. This is obviously a typo but could be misleading.
At 39:03 the probabilities (that must sum to 1) if they aren't known, how do I calculate it for the scenarios(in this case the sales being 50,40,30)?
where do we get the ppt from??
All 2024 videos and slide decks are available in the following package: analystprep.com/shop/cfa-level-1-complete-course-by-analystprep/
hello, at 44:25, it is unclear how you arrived at the product of deviations for each stock
（2.3-5.72）*（6.5-4.4）=-7.182
Where can I find the presentations to download them?
Would appreciate your response, Professor.
And thanks for the effort and the great explanation.
Great Lesson, Thanks a lot
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Thank you for this great video.
You have a lot of free learning resources here, so you should create a link for people to donate for the continuation of your good work.
Dear Mr. I would need help to understand following related to multiplication/addition rules:
1. if we presume, that two events occured together, how will we decide, if they are dependent or independent? if we seek to calculate the probability of the club winning given that rainy weather, how can we conclud that the rain is conditional or unconditional? If we presume that club won when it was raining 30% time and 70% not (based on what was the case in some period) and we want to know the probability of winning the club if it rains, how we conclude that it is conditional or unconditional probability? it can have nothing to do with weather so each of the results says nothing on the relationship of the two. Could you please share your thoughts?
2. from the examples on addition and multiplication rule you mentioned that multiplication rules concerns independent and dependent situations but on addition rule you mentioned that it concerns mutually exclusive and non-mutually exclusive events. I don't understand. Is it the rule that each independent is non-mutually exlusive and each dependent is mutually exclusive? what is the reasoning behind? if we take an example of the balls in the hat you mentioned, I presume the probability would be calculated differently if we say that the balls are given back to the hat once drawn i.e. what would be the calculation? P(AB) = P(A)P(B) = 16/30x16/30?
3. if we take the balls example from the point 2. above, and we would look for the probability of (A or B), what do instruction can look like and how it can not look like?
for the question on screen at 55:46 , is 50C3 + 50C4 the answer
In minute 54 problem, im not getting the logic behind it, it only half the trains go to NY, and from those trains only 40% are late, how can the poasibility to pick a random train be late AND in NY be more the 50%?
great job
You're welcome!
Please elaborate the concept of quantile
I would give your meal a thumbs up
Sir there's a confusion
For conditional probability
We apply multiplication rule
And for unconditional probability
We apply addition rule
Thank you very much!
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Can I buy the videos without having to buy the rest of the course?
Unfortunately, we cannot separate the individual items from the packages. However, you may use the coupon code ANALYST20 for a 20% discount on all our packages.
Great lecture, but excuse me...is not it that covariance only gives direction and correlation tends to show the strength and also direction? :)
Great Lessons but for conditional probability does order matter
Hello Professor, It looks like the answer for the covariance between Stock A and Stock B is not right. I am getting -4.788x10^-4
@analystPrep Thank you very much for uploading the videos. Please note I am planning to opt CFA L1 in May 2023. I am keen to do the prep with Professor James. However, it will great if I could get significant discount.