We will determine \( n^2 - m^2 \) by applying probability principles and a systematic, well-explained methodology. The objective is to compute \( n^2 - m^2 \), given that \( \frac{m}{n} \) represents the probability of selecting an unbiased coin, conditional on observing heads.
The collection comprises 20 coins in total: 19 are unbiased, and one possesses two heads.
The probability of drawing an unbiased coin at random is \( \frac{19}{20} \), and the probability of drawing the two-headed coin is \( \frac{1}{20} \).
Regarding the outcome of heads:
Employing Bayes' theorem, we compute the probability that the selected coin is unbiased, given that heads occurred:
\[P(\text{Unbiased} \mid \text{Heads}) = \frac{P(\text{Heads} \mid \text{Unbiased}) \cdot P(\text{Unbiased})}{P(\text{Heads})}\]We substitute these values into Bayes' theorem:
\[P(\text{Unbiased} \mid \text{Heads}) = \frac{\frac{1}{2} \cdot \frac{19}{20}}{\frac{21}{40}} = \frac{\frac{19}{40}}{\frac{21}{40}} = \frac{19}{21}\]Consequently, \( \frac{m}{n} = \frac{19}{21} \), which implies \( m = 19 \) and \( n = 21 \).
We now compute \( n^2 - m^2 \):
\[n^2 - m^2 = 21^2 - 19^2 = (21 + 19)(21 - 19) = 40 \times 2 = 80\]The final result is 80.
A gardener wanted to plant vegetables in his garden. Hence he bought 10 seeds of brinjal plant, 12 seeds of cabbage plant, and 8 seeds of radish plant. The shopkeeper assured him of germination probabilities of brinjal, cabbage, and radish to be 25%, 35%, and 40% respectively. But before he could plant the seeds, they got mixed up in the bag and he had to sow them randomly.
Given three identical bags each containing 10 balls, whose colours are as follows:
| Bag I | 3 Red | 2 Blue | 5 Green |
| Bag II | 4 Red | 3 Blue | 3 Green |
| Bag III | 5 Red | 1 Blue | 4 Green |
A person chooses a bag at random and takes out a ball. If the ball is Red, the probability that it is from Bag I is $ p $ and if the ball is Green, the probability that it is from Bag III is $ q $, then the value of $ \frac{1}{p} + \frac{1}{q} $ is: