find patterns in data that may lead to a conclusion being drawn
look for unusual data values such as a value that does not fit an otherwise good correlation
Examples
Jerry has a hypothesis that most days at his house are dry. In June there were 20 dry days at his house. Give a reason why this may not support Jerry’s hypothesis.