When calculating the probability of multiple independent events, you can multiply the individual probabilities together. In this case, the events are independent (each die roll does not affect the others), so the total probability is simply the product of the individual probabilities. Make sure to simplify fractions to their lowest terms to avoid errors in final calculations.
When a die is rolled, the possible outcomes are 1, 2, 3, 4, 5, and 6. The probabilities for the specified events are calculated as follows:
The event "a number greater than 4" includes the outcomes {5, 6}. The probability of this event is:
\( P(\text{greater than 4}) = \frac{2}{6} = \frac{1}{3} \)
The event "a number less than 4" includes the outcomes {1, 2, 3}. The probability of this event is:
\( P(\text{less than 4}) = \frac{3}{6} = \frac{1}{2} \)
The probability of the specific sequence of events (a number greater than 4 on the first roll, a number greater than 4 on the second roll, and a number less than 4 on the third roll) is the product of the individual probabilities:
\( P(\text{required outcome}) = P(\text{greater than 4}) \cdot P(\text{greater than 4}) \cdot P(\text{less than 4}) \)
\( P(\text{required outcome}) = \frac{1}{3} \times \frac{1}{3} \times \frac{1}{2} \)
\( P(\text{required outcome}) = \frac{1}{18} \)
Therefore, the probability of the required sequence of outcomes is \( \frac{1}{18} \).
If \(S=\{1,2,....,50\}\), two numbers \(\alpha\) and \(\beta\) are selected at random find the probability that product is divisible by 3 :
The probability of hitting the target by a trained sniper is three times the probability of not hitting the target on a stormy day due to high wind speed. The sniper fired two shots on the target on a stormy day when wind speed was very high. Find the probability that
(i) target is hit.
(ii) at least one shot misses the target. 