Using the nonexperimental method, a researcher collects data on exercise and anxiety from a number of people and finds that exer
cise is negatively related to anxiety—that is, the people who exercise more tend to have lower levels of anxiety. What does this scenario demonstrate? Temporal precedence Covariation between variables Elimination of possible causes Non-sufficient element of inference of cause
Answer: This scenario demonstrates "COVARIATION BETWEEN VARIABLES".
Explanation: Covariation between variables is how two variables are interrelated. It shows if two variables are inversely or directly proportional.
Non-experimental research only show how two variables are interrelated, which means that Covariation between variables describes non-experimental research. In an non-experimental research, the research does not accurately determine cause, rather it projects the relationship between the choose variables.
In this research, the researcher collected data on exercise and anxiety, this means the researcher wants to correlate the two variables.
Technically air. The air is the only thing known that we can, "hold" without ever having to use our hands for any known reasons. We're holding air right now. When you inhale or hold your breath, your lungs are holding air.
Descriptive statistics describes data (for example, a chart or a simple graph) then inferential statistics allows one make predictions i.e inferences from that data. With inferential statistics, you take data from samples and make conclusions about a population.