The term that describes the chance that an event should happen under perfect circumstances is "theoretical probability." This probability is calculated based on the possible outcomes of an event in an ideal scenario, without any external influences or biases affecting the results. It is often expressed as a ratio of the number of favorable outcomes to the total number of possible outcomes.
The term that refers to the list of all possible outcomes is "sample space." In probability theory, the sample space encompasses every potential result of a given experiment or event. For example, when tossing a coin, the sample space consists of two outcomes: heads and tails.
probability
The codomain or range.
Domain describes all possible input values.
probability
Data
controlled experiment
The term that describes the data collected during an experiment is "experimental data". This data is gathered through observations, measurements, and other methods during the experimental process to analyze and draw conclusions.
Experiment controlled
"Data" is the numerical results provided by the experiment. "Conclusion" is the deduction we make from the experiment, whether it's a verification of an equation, or a theory, or anything else.
That phase is known as the endpoint of the experiment, where researchers observe outcomes such as death or other predefined conditions that indicate the experiment is concluded.
The "range".
domain
The codomain or range.
Domain describes all possible input values.
It is called the range of the function.