Probability | Lecture 1 | Fundamentals of Biostatistics

This lecture discusses introduction to probability, sample space, event, definition of probability, mutually exclusive events, union, intersection, independent events, multiplication law of probability, and addition law of probability.

Chapters:
0:00 Start
0:18 Lecture Outline
1:00 Introduction to Probability
3:14 Sample Space
4:34 Event
6:11 Probability of an event
9:35 Example Problem
11:26 Mutually Exclusive Events
18:32 Example Problem
23:57 Union and Intersection of two events
33:54 Complementary Events
36:10 Independent Events
37:34 Multiplication Law of Probability
38:31 Dependent Events
39:13 Addition Law of Probability
42:53 Example

[hajranaashkar]

Mr.Sandeep, profound thanks for your informative videos. For the last problem is P(E∩C)41/318

[sandeepk]

Here onwards, will subsribe and follow your lectures. 🤝

[sarachilwan]

i did not understand how to do the last problem

[shaguftasahar]

Compliments from Pakistan.. Very informative videos (y)

[TheDuchess]

Hello,
Very informative video with examples. Can you please add the answers for all your examples or make a video with the solutions to the problems? Thank you, and have a good day!

[priyankabhardwaj]

Please post the answer too. That will be helpful

[mustafahayder]

i would appreciate it if you post the answer the problems in the comments.

[sreeragnair]

Wonderful class Sir... I have one doubt though. Am a BDS student. If A= patient's father has dental caries
B= patient has dental caries
Here, is it a mutually exclusive event or independent event?

What I think is, it is an independent event
because caries of parent and child is completely independent. And not mutually exclusive because :parent is having caries, child should not be having caries, then only it will become a mutually exclusive event no?


And also, if A =father doesn't have caries
B =son have caries
Again is it a mutually exclusive or independent event?
Here though, i an having a confusion. Because isn't it a mutually exclusive event?

Please correct me if my assumptions are wrong.

And once again thank you very much fr your lectures