Exploring “What’s Typical?” Using Sampling and Design
Technology: TI-84 Plus family, TI-Nspire™ Technology
Speakers: Diane Broberg, Jeff McCalla
Many statistical investigations revolve around the question, “What’s typical?”
But “typical” depends on how much variability is in the system. Well-chosen data collection procedures can help manage variability; good design is crucial. GIGO – Garbage In, Garbage Out.
- Examine the two main types of inference and the main obstacle each must overcome (bias and confounding)
- Demonstrate why random sampling and random allocation are kinds of “insurance”
- Use activities to illustrate when, how and why more complex data-collection procedures such as stratification and blocking may be beneficial
- Show good data-collection procedures using visual, technology-based activities and AP* questions
Both TI-84 Plus and TI-Nspire™ technology will be used.Play Webinar Download Associated Documents
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