Even though a fair coin has an equal chance of landing on heads or tails (50% probability for each outcome), it’s essential to understand that the outcome of each coin toss is independent of previous tosses. In other words, the coin does not have a memory, so the result of one toss does not influence the result of subsequent tosses.
Because of this independence, there is a possibility of variation in the number of heads and tails obtained in a series of coin tosses. While it’s statistically likely to get approximately half heads and half tails over a large number of tosses, in a smaller sample size like 30 tosses, there is a greater chance of deviation from this expected outcome due to random chance.
For example, it’s entirely plausible for Tom to get 14 heads and 16 tails, or even 13 heads and 17 tails, despite the coin being fair. This variability is due to the inherent randomness in the process of coin flipping, and it’s what makes probability theory so fascinating. :)
