Overview: This class introduces the averaging of trials into conditions for individual data sets and then combining data sets into a grand average. It shows how averaging reduces noise to reveal the underlying signal. It also shows students how to examine data quality in the individual averaged data sets.
Topics Covered:
- Averaging trials by condition in individual data sets
- Inspecting individual data sets to ensure artifact rejection removed major sources of data and to ensure data quality
- Averaging individual data sets together into a grand average
Lab: Averaging and Data Inspection
In this lab students will learn to create individual data set averages, inspect individual averages for data quality, and to create grand averages.