A box contains ten balls: three white and seven black. One…
A box contains ten balls: three white and seven black. One ball is drawn at random from the box. Determine the probability that the drawn ball will be: $1^{\circ}$ white; $2^{\circ}$ black.
Explanation of Method
"Drawn at random" means every ball has the same chance of being drawn. In that situation we use the classical definition of probability: the probability of an event is the number of outcomes favourable to it divided by the total number of equally likely outcomes. We number the balls to see the outcomes clearly, count, and divide.
Step 1: The classical definition of probability
If an experiment has $n$ equally likely outcomes and exactly $m$ of them lead to the event $A$, then
\[ P(A) = \frac{m}{n} = \frac{\text{number of favourable outcomes}}{\text{number of all outcomes}}. \]
Step 2: The outcomes
Imagine the balls are numbered $1,\dots,10$, with balls $1$–$3$ white and $4$–$10$ black. The outcome of the experiment is the number of the drawn ball:
\[ \Omega=\{1,2,\dots,10\}, \qquad n = 10. \]
All ten outcomes are equally likely because the ball is drawn at random (the balls are identical in size and well mixed).
Step 3: $1^{\circ}$ — a white ball
Favourable outcomes: $\{1,2,3\}$, so $m=3$.
\[ \boxed{P(\text{white}) = \frac{3}{10} = 0.3.} \]
Step 4: $2^{\circ}$ — a black ball
Favourable outcomes: $\{4,\dots,10\}$, so $m=7$.
\[ \boxed{P(\text{black}) = \frac{7}{10} = 0.7.} \]
Step 5: Check
"White" and "black" are opposite events (every ball is one or the other, never both), so their probabilities must add up to $1$:
\[ 0.3 + 0.7 = 1. \ \checkmark \]
We could therefore also compute $P(\text{black}) = 1 - P(\text{white})$.
Step 6: Meaning
If the experiment is repeated many times (drawing a ball, noting its colour and putting it back), a white ball will appear in about $30\%$ of the draws and a black ball in about $70\%$.
Result
| Event | Favourable / all | Probability |
|---|---|---|
| $1^{\circ}$ white ball | $3/10$ | $0.3$ |
| $2^{\circ}$ black ball | $7/10$ | $0.7$ |