Compound Events and Sample Space
Students will find probabilities of compound events using organized lists, tables, and tree diagrams.
Key Questions
- Explain how to systematically list all possible outcomes for a compound event.
- Analyze the effectiveness of different methods (lists, tables, tree diagrams) for representing sample spaces.
- Construct a sample space for a given compound event and calculate its probability.
Common Core State Standards
Suggested Methodologies
Ready to teach this topic?
Generate a complete, classroom-ready active learning mission in seconds.
Planning templates for Mathematics
5E Model
The 5E Model structures lessons through five phases (Engage, Explore, Explain, Elaborate, and Evaluate), guiding students from curiosity to deep understanding through inquiry-based learning.
unit plannerMath Unit
Plan a multi-week math unit with conceptual coherence: from building number sense and procedural fluency to applying skills in context and developing mathematical reasoning across a connected sequence of lessons.
rubricMath Rubric
Build a math rubric that assesses problem-solving, mathematical reasoning, and communication alongside procedural accuracy, giving students feedback on how they think, not just whether they got the right answer.
More in Probability and Statistics
Understanding Populations and Samples
Students will differentiate between populations and samples and understand the importance of representative samples.
2 methodologies
Random Sampling and Bias
Understanding that statistics can be used to gain information about a population by examining a sample.
2 methodologies
Drawing Inferences from Samples
Students will use data from a random sample to draw inferences about a population with an unknown characteristic of interest.
2 methodologies
Measures of Center: Mean, Median, Mode
Students will calculate and interpret measures of center for numerical data sets.
2 methodologies
Measures of Variability: Range and IQR
Students will calculate and interpret measures of variability (range, interquartile range) for numerical data sets.
2 methodologies