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 outcomes are 1, 2, 3, 4, 5, 6. The probabilities for the given events are as follows:
A number greater than 4 includes {5, 6}. The probability of this event is:
\( P(\text{greater than 4}) = \frac{2}{6} = \frac{1}{3} \)
A number less than 4 includes {1, 2, 3}. The probability of this event is:
\( P(\text{less than 4}) = \frac{3}{6} = \frac{1}{2} \)
The probability of the required outcome (a number greater than 4 on the first and second throws, and a number less than 4 on the third throw) is the product of the probabilities:
\( P(\text{required outcome}) = P(\text{greater than 4}) \cdot P(\text{greater than 4}) \cdot P(\text{less than 4}) \)
\( P(\text{required outcome}) = \frac{1}{3} \times \frac{1}{3} \times \frac{1}{2} \)
\( P(\text{required outcome}) = \frac{1}{18} \)
Thus, the probability of the required outcome is \( \frac{1}{18} \).
When a die is rolled, the outcomes are 1, 2, 3, 4, 5, 6. The probabilities for the given events are as follows:
Step 1: Probability of a number greater than 4:
A number greater than 4 includes {5, 6}. The probability of this event is:
\[ P(\text{greater than 4}) = \frac{2}{6} = \frac{1}{3} \]
Step 2: Probability of a number less than 4:
A number less than 4 includes {1, 2, 3}. The probability of this event is:
\[ P(\text{less than 4}) = \frac{3}{6} = \frac{1}{2} \]
Step 3: Calculate the probability of the required outcome:
The required outcome is getting a number greater than 4 on the first and second throws, and a number less than 4 on the third throw. The probability of this outcome is the product of the individual probabilities:
\[ P(\text{required outcome}) = P(\text{greater than 4}) \cdot P(\text{greater than 4}) \cdot P(\text{less than 4}) \]
Step 4: Multiply the probabilities:
\[ P(\text{required outcome}) = \frac{1}{3} \times \frac{1}{3} \times \frac{1}{2} \]
Step 5: Final calculation:
\[ P(\text{required outcome}) = \frac{1}{18} \]
Conclusion: Thus, the probability of the required outcome is \( \frac{1}{18} \).
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. 
Smoking increases the risk of lung problems. A study revealed that 170 in 1000 males who smoke develop lung complications, while 120 out of 1000 females who smoke develop lung related problems. In a colony, 50 people were found to be smokers of which 30 are males. A person is selected at random from these 50 people and tested for lung related problems. Based on the given information answer the following questions: 
(i) What is the probability that selected person is a female?
(ii) If a male person is selected, what is the probability that he will not be suffering from lung problems?
(iii)(a) A person selected at random is detected with lung complications. Find the probability that selected person is a female.
OR
(iii)(b) A person selected at random is not having lung problems. Find the probability that the person is a male.