The factor changed is the independant varible, the thing that the scientist can change each time they run the experiment.
A variable.
A constant factor is one maintained unchanged throughout an experiment so that it does not affect the outcome. These are also referred to as controlled variables.
The name of the factor that scientists change in an experiment is called the independent variable. It is the variable that is deliberately manipulated or adjusted to observe its effect on the dependent variable, which is the outcome being measured.
The factor that does not change in an experiment is called the control variable or constant. It is used as a baseline for comparison against the variables that are being tested to determine their effect.
A factor in an experiment that can change is called a variable. Variables are used in experiments to test a hypothesis, and someone will manipulate the variable, while keeping something else the same, a control, in order to see how the variables react in comparison with a control.
a factor that may change according to the manipulated variable
Its a element, feature, or factor that is liable to vary or change.
It does not change its value whatever the value of the variables, under a given set of conditions.
The variable in an experiment is the element that is being tested or measured. It is the factor that can change or be manipulated to observe its effect on the outcome of the experiment. There are independent variables, which are manipulated by the researcher, and dependent variables, which are what is being measured.
the anwer is a variable( the thng that will change over time in the experiment
There are different types of factors that can change in an experiment. The environmental factors may change, and are out of your control. The variables in the experiment may also be changed but, are usually controlled by the individual conducting the experiment the majority of the time.
One factor that may change the result of an experiment is the presence of confounding variables, which are additional variables that may impact the outcome and are not accounted for in the study design. These variables can introduce bias and lead to inaccurate conclusions. It is important for researchers to control for these factors to ensure the validity and reliability of their findings.