In this engaging, real-world math worksheet, students investigate the meaning behind a weather forecast that predicts a 30% chance of rain each day for the next 20 days. Through interactive simulations and hands-on data collection, students will compare theoretical probability (based on models) with experimental probability (based on actual outcomes).
Students simulate weather conditions over 20 days, record results, calculate how many days it rained, and determine whether the observed outcomes align with the forecast. This activity helps students deeply understand how probability is used in everyday life and builds critical thinking around data interpretation.
This worksheet is aligned to 7th grade statistics and probability standards (7.SP.C.5–7) and supports independent or classroom-based learning.
Students will understand the difference between theoretical and experimental probability by simulating a real-world weather forecasting scenario. They will calculate expected probabilities, collect and analyze experimental data, and reflect on how probability models are used in real-life decision-making.
Each student will receive a unique 20-day weather simulation, where the outcome for each day (rain or no rain) is randomized. The simulation is centered around a 30% chance of rain, but actual outcomes may vary slightly — typically resulting in 25% to 35% rain days.
💡 Tip: When assigning this activity to your classroom, you can optionally enable randomization to give each student a unique version of the problems. When you re-assign the same worksheet, each student will get a new set of questions, helping them master the content through repeated practice.