Dr. Gideon Frieder of George Washington University discusses how statistics—including concepts like probability, confidence intervals, and sampling—help make computer-assisted review defensible.
Download this white paper to learn about:
- Basic statistical concepts behind computer-assisted review
- Using distributions to help assess the conceptual make-up of a computer-assisted review project
- How inferential statistics give you the ability to draw conclusions about a larger population to save review time
- Using confidence levels and intervals to determine how many documents need to be sampled in computer-assisted review
