Hypothesis
predicts the behavior of the dependent variable
IF, THEN
If the data matches the hypothesis, then accept it
If the data does not, reject it and come up with another hypothesis and start over
Experiments
Must control all variables except the dependent variable
Trendline
A line drawn through data points
shows the relationship between dependent and independent variables
Theory
Based on repeated testing that shows the same conclusion explanation over and over again
Benefit of higher sample sizes
Less chance of random sampling error