Material Detail

Statistics and Visualization for Data Analysis and Inference

Statistics and Visualization for Data Analysis and Inference

A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful parametric distributions, the generalized linear model, and model-based analyses more generally. Familiarity with MATLAB®, Octave, or R will be useful, prior experience with statistics will be helpful but is not essential. This course is intended to be a ground-up sketch of a coherent, alternative perspective to the "null-hypothesis significance testing" method for behavioral research (but don't worry if you don't know what this means).
Rate

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collection (1) Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Browse...

Disciplines with similar materials as Statistics and Visualization for Data Analysis and Inference

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.