Much appreciated! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to give us a review at facebook.com/pg/AnalystPrep/reviews/
28:51 we can use TI BA in this example - 2nd -> Data -> X01 =50 ; Y01= 20; X02 = 40; Y02 = 30; X03 = 30; Y03=50 , that give us synthetic probability distribution
At 16:25, wouldn't that seem like a conditional joint probability? The heading says unconditional. You are extremely intelligent to retain all of this knowledge and even answers questions, requiring you to put yourself back into the material once again.
Hi Professor, thank you for making these very helpful videos!:) still confused with conditional and joint probabilities. With reference to the basement flooding being conditional if it rained, is that the same probability as a joint probability of both occurrence simultaneously? i.e P(AIB)=P(AB)?
Hi Jay. To make it simple, joint probability is the probability of two events occurring at the same time in no particular order. Conditional probability is the probability of one event occurring in the presence of a second event. I hope this helps!
little feedback for your video at the last part. will be better if you actually show the formula such as labeling formula or factorial formula on the bullet ppoints page. as usual, grateful for the great content
Thank you
You're welcome
I really appreciate you making these Professor, you are among the unsung heroes of society!! :)
impressive content AnalystPrep. I broke that thumbs up on your video. Keep up the really good work.
Much appreciated! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to give us a review at facebook.com/pg/AnalystPrep/reviews/
Where is the video for Reading 9- Common Probab Distributions , cannot seem to locate it
Thank you for the video,
In minute 8:00. How Odds for = P(E) / {1 - P(E)} become P(E) = 1 / 1+9 in the example.
Appreciate your answer :)
Thanks
thank you mister !!
28:51 we can use TI BA in this example - 2nd -> Data -> X01 =50 ; Y01= 20; X02 = 40; Y02 = 30; X03 = 30; Y03=50 , that give us synthetic probability distribution
what do you hit to compute?
@@RyanInCanada 2nd - stat - (1-v) display - then buttons up and down
Thank you for this amazing lecture 😊
You're most welcome!
At 16:25, wouldn't that seem like a conditional joint probability? The heading says unconditional. You are extremely intelligent to retain all of this knowledge and even answers questions, requiring you to put yourself back into the material once again.
You made this so easy for me. I was really afraid of probability but now I'm very confident, all thanks to you :)
Hi Professor, thank you for making these very helpful videos!:) still confused with conditional and joint probabilities. With reference to the basement flooding being conditional if it rained, is that the same probability as a joint probability of both occurrence simultaneously? i.e P(AIB)=P(AB)?
Hi Jay. To make it simple, joint probability is the probability of two events occurring at the same time in no particular order. Conditional probability is the probability of one event occurring in the presence of a second event. I hope this helps!
5:38 LOS : State the probability of an event in terms of odds for and against the event.
little feedback for your video at the last part. will be better if you actually show the formula such as labeling formula or factorial formula on the bullet ppoints page. as usual, grateful for the great content
Thank you for the suggestion. We will take it into account for next year!
this section was the lowest score for my quant methods with a 70%. thank you for this video and practice
Glad it helped!