COMPSCI C8- Final Exam Guide - Comprehensive Notes for the exam ( 29 pages long!)

• School: Berkeley
• Department: Computer Science
• Course: COMPSCI C8
• Professor: John De Nero

Document Summary

Study guide (i took notes on the lectures and textbook throughout the year and studied off this for the final, thought it might be. Inference: use randomization, determine whether those patterns are reliable. An underlying difference between the two groups (other than the treatment) is called a confounding factor. If you are able to randomize individuals into the treatment and control groups, you are running a randomized controlled experiment. Outcome: effect that you believe the treatment has on the individual. These 2 groups must be as similar as possible in order to eliminate confounding variables; if outcome differs between these 2 groups then we can infer causality (the treatment causes the outcome to occur) If treatment and control groups have systematic differences other than the treatment, it"s harder to identify causality; found often in observational studies. Purpose of writing programs is to instruct a computer to carry out the steps of an analysis.