Hypothesis testing refers to procedures used by scientists to reject or fail to reject statistical hypotheses. It helps us attend to uncertainty and deal with random error in data collected during an investigation.
There are two types of statistical hypotheses:
Null hypothesis (H0): the hypothesis that there is no difference between two groups of data in an investigation and that the experimental observations are the result of chance.
Alternative hypothesis (HA): one of several hypotheses that experimental observations are the result of some nonrandom cause
© 2018 The College Board Quantitative Skills in the AP Sciences Hypothesis Testing 37 CHAPTER 3 Quantitative Skills in AP Biology