How Likely …? Sampling Distributions and the Central Limit Theorem
Technology: TI-84 Plus Family, TI-Nspire™ Technology
Speakers: Diane Broberg, Jeff McCalla
Many statistical investigations revolve around the question “How likely could this event occur by chance?” Understanding patterns in sampling distributions of sampling means and in particular the Central Limit Theorem can help students answer this question in many contexts. TI technology can be a powerful tool to help students see and interact with these patterns.
In this webinar, presenters will:
- Show how to create and display sampling distributions of sample means
- Use activities that help students discover patterns in sampling distributions of sample means
- Demonstrate TI technology tools that calculate probabilities involving normal distributions
- Discuss related AP* questions
Presenters utilize both TI-84 Plus CE and TI-Nspire™ handheld devices during the webinar.Download documents
*AP is a registered trademark of the College Entrance Examination Board. ACT is a registered trademark of ACT, Inc. Neither are affiliated with, nor endorse, TI products.