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Hyperlinks are for content teachers
Hyperlinks are for content teachers
Big Idea:
Big Idea:
Sampling Distribution of Sample Proportions and Sampling Distribution of Sample Means
Student Expectations:
Student Expectations:
Focus Standards
Focus Standards
III. Anticipating Patterns: Exploring random phenomena using probability and Simulation.
D. Sampling distributions
1. Sampling distribution of a sample proportion
2. Sampling distribution of a sample mean
3. Central Limit Theorem
4. Sampling distribution of a difference between two independent sample proportions
5. Sampling distribution of a difference between two independent sample means
6. Simulation of sampling distributions
7. t-distribution
Student Learning Targets:
Student Learning Targets:
- I will distinguish between a parameter and a statistic
- I will define a Sampling Distribution
- I will calculate and interpret the Mean and Standard Deviation of the sampling Distribution of sample Proportions
- I will check whether the 10% and Normal Conditions are met
- I will use the Normal Approximation to Calculate Probabilities involving Sample Proportions
- I will calculate and Interpret the Mean and Standard Deviation of the sampling Distribution of sample Means
- I will calculate Probabilities involving a sample mean when the population distribution is Normal
- I will use the Central Limit Theorem to determine if the Sampling Distribution of Sample Means is Normal
Essential Questions:
Essential Questions:
- How are sampling distributions interpreted and applied to a population?
- What does the Central Limit Theorem tell us?
- How do you describe a sampling distribution?
- How does sample size affect the distribution of means?
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