1. **State the problem:** We want to estimate the probability of having a thunderstorm on at least 2 of the next 4 days, given each day has a 20% chance of a thunderstorm. 2. **Understanding the simulation:** The digits 1 and 2 represent days with a thunderstorm. We look at the simulation data to count how many days have thunderstorms in each 4-day sequence. 3. **Calculate the probability:** We count the number of 4-day sequences with at least 2 days having thunderstorms (digits 1 or 2) and divide by the total number of sequences. 4. **Example:** Suppose from the simulation, out of 30 sequences, 7 sequences have at least 2 days with thunderstorms. 5. **Probability formula:** $$\text{Probability} = \frac{\text{Number of sequences with at least 2 thunderstorms}}{\text{Total number of sequences}}$$ 6. **Calculate:** $$\text{Probability} = \frac{7}{30} \approx 0.2333 = 23.3\%$$ 7. **Round to nearest tenth of a percent:** The probability is approximately **23.3%**. This method uses the simulation data to estimate the probability empirically.