Exploring “What’s Typical?” Using Sampling and Design

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.

Presenters will:

• 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.