
Sampling Distributions
Students use simulations to explore the sampling distributions of sample proportions and sample means. They apply the Central Limit Theorem to describe the shape of these distributions.
About This Topic
Students use simulations to explore the sampling distributions of sample proportions and sample means. They apply the Central Limit Theorem to describe the shape of these distributions.
Key Questions
- What is a sampling distribution?
- How does sample size affect the variability of a statistic?
- What does the Central Limit Theorem tell us?
Active Learning Ideas
See all activities→Activities & Teaching Strategies
See all activities
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.
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 Introduction to Statistical Inference
Confidence Intervals for Proportions
Students construct and interpret confidence intervals for a population proportion. They determine the margin of error and evaluate how confidence level and sample size affect the interval.
2 methodologies
Logic of Hypothesis Testing
Students learn the foundational concepts of significance testing, including null and alternative hypotheses, p-values, and significance levels. They draw conclusions based on simulated data.
2 methodologies