SUMMARY
The probability of the 11th flip being the same as the 10th flip of a fair coin is 1/2, as each flip is independent. However, if the coin is weighted based on previous outcomes, the probability can be adjusted. In the provided example of the last 10 flips "H,T,T,H,H,T,T,H,H,H", with 6 heads and 4 tails, the estimated probability for the 11th flip being heads is 0.6, while tails is 0.4. This demonstrates that historical data can influence future probabilities in non-fair scenarios.
PREREQUISITES
- Understanding of basic probability concepts
- Familiarity with independent events in probability theory
- Knowledge of weighted probabilities
- Basic statistics for analyzing outcomes
NEXT STEPS
- Study the concept of independent events in probability theory
- Learn about weighted probabilities and their applications
- Explore statistical methods for analyzing sequences of events
- Investigate the law of large numbers and its implications on probability
USEFUL FOR
Mathematicians, statisticians, educators, and anyone interested in understanding probability theory and its applications in real-world scenarios.