Sampling Distributions
Students explore the concept of a sampling distribution for a sample proportion and a sample mean. They apply the Central Limit Theorem to determine the shape, center, and spread of these distributions.
About This Topic
Students explore the concept of a sampling distribution for a sample proportion and a sample mean. They apply the Central Limit Theorem to determine the shape, center, and spread of these distributions.
Key Questions
- What is the difference between a parameter and a statistic?
- What does the Central Limit Theorem state?
- How does sample size affect the variability of a sampling distribution?
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Planning templates for Statistics
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.
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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.
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