Probability- independent events

Click For Summary
SUMMARY

The discussion centers on the independence of events E and Fk in the context of tossing a fair coin n times. Event E represents the occurrence of heads on the first toss, while Fk denotes the event of obtaining a total of k heads. The independence condition is established through the equations P(E|Fk) = P(E) and P(Fk|E) = P(Fk). By applying Bayes' theorem and conditional probability definitions, participants are tasked with deriving the relationship between n and k to determine the values for which E and Fk are independent.

PREREQUISITES
  • Understanding of probability theory, specifically independent events
  • Familiarity with Bayes' theorem
  • Knowledge of conditional probability
  • Basic concepts of combinatorics related to coin tosses
NEXT STEPS
  • Study the application of Bayes' theorem in probability problems
  • Explore conditional probability in depth
  • Research combinatorial methods for calculating probabilities in coin toss scenarios
  • Learn about the concept of independence in probability theory
USEFUL FOR

Students of probability theory, mathematicians, and anyone interested in understanding the independence of events in statistical experiments.

C.E
Messages
100
Reaction score
0
1. A fair coin is tossed n times, let E be the event that the first toss is a head and Fk be the event that there are a total of k heads. For which values of n, k are E and fk independent events?

3. I don't see how these events can possibly be independent (surely the first influences the second). Could somebody please explain how to do this question?
 
Physics news on Phys.org
You can approach this question mathematically instead of by conceptual reasoning. E and F_k are independent if P(E|F_k)=P(E) and P(F_k|E)=P(F_k).

Now you just have to find expressions for the above. Use Bayes theorem and the definition of conditional probability. After solving the above, you should be able to find n in terms of k.
 

Similar threads

  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
Replies
4
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 7 ·
Replies
7
Views
5K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 14 ·
Replies
14
Views
3K