Empirical and experimental probability are the same thing. They are the outcome of an experiment.
experimental bias
statistical testing
Neither. Experimental or theoretical probabilities are methods that may be used to determine the probability that a given set of numbers will win, whereas your winning is the outcome of the event.
Some but not all scientific models are based on the ability to determine the likelihood that a given experimental outcome has happened by chance alone. If you have an accurate understanding of how the variables in the experiment change when nothing in particular is affecting them, then you have a way to establish some confidence that your outcome is the result of your experimental procedure and not the result of purely random events. The experimental 'lingo' is that the researcher has to determine if the 'Null Hypothesis' can be rejected. The Null Hypothesis is that the experimental outcome is not significantly different from what you would expect if the experiment had no effect at all.As an example, if the probability in the natural world is that some event will happen by chance only one tenth of one percent of the time, then when I observe that event as my experimental outcome, I can be reasonably sure that my procedure has brought about the event; it is so unlikely that it happened by chance. It is not perfect, but few scientific procedures are. This also highlights the importance of replicating studies or of doing meta-analyses of experimental data gathered in many experiments to further reduce the likelihood that observed outcomes are nothing more than chance events.
it can help predict the outcome of an event.
Theorem
Empirical and experimental probability are the same thing. They are the outcome of an experiment.
experimental bias
The control is the standard used to compare with the experimental results.
statistical testing
Theoretical Approach is looking at the data and determining an outcome. Experimental Approach is performing the procedure and recording the actual oucome, which can differ from the theory or theoretical approach.
Both are measures of the likelihood of events whose outcome is uncertain.
Scientists try to control for experimental bias.An experimental bias often goes unrecognized if the student does not carefully consider sources of potential biases.A desire for a specific outcome is an experimental bias.
Neither. Experimental or theoretical probabilities are methods that may be used to determine the probability that a given set of numbers will win, whereas your winning is the outcome of the event.
it can help predict the outcome of an event
A factor is a variable which is deliberately varied between trials, in order to study its influence on the outcome. * experimental factors or other conditions may influence the outcome. There are two main types of variables to consider: * ** Treatment factors: When you are especially interested in studying how the outcome varies as a function of these factors. ** Confounders: Other factors or covariates, such as temperature, pH, humidity, drift over time, etc. that may influence the outcome. In the biological or health sciences, age, sex and other characteristics of an individual may be confounders.