By trying to hold one or more variables constant.
For example, we know that car brakes will not work properly (car skids) due to a number of factors, type of car, whether the road is straight or curved, road conditions and car speed. We run experiments where the road conditions are exactly the same, and see at which speed the car begins to skid. Of course we should use the same car in all experiments. We should also drive the same section of road.
what are the classification of variables
Variables work by telling you what you need to change, what to observe, and what to keep the same in a experiment.
They are the same. These are names for the variables in an experiment that are controlled by the experimenter, as opposed to the output variables, the results you collect at the end of the experiment Hope this helped!
These "variables" are called independent variables or constant variables meaning that they are capable of being changed by the experimenter but are intentionally held the same through each individual experiment.
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
To eliminate the possibility of hidden or unknown variables the scientist must a control experiment.
To eliminate confounding variables, or variables that were not controlled and damaged the validity of the experiment by affecting the dependent and independent variable, the experimenter should plan ahead. They should run many checks before actually running an experiment.
To eliminate alternative explanations for the result of an experiment
Variables that do not change in an experiment are independent variables.
Variables that do not change in an experiment are independent variables.
the only variables in an experiment are the independent variables [the thing in an experiment your going to change. and the dependent variables [the thing in an experiment your going to measure.
A manipulative experiment involves actively manipulating variables to observe the effect on outcomes, while a natural experiment relies on naturally occurring variations in variables to study their impact. Manipulative experiments offer more control over variables but may lack external validity, while natural experiments provide insights into real-world situations but have limited control over variables.
independent variables :):):):):):):):):):):):)
Independant variables
Independant variables
in a manipulative experiment the investigator has control over the variables in the experiment. a natural experiment is simply making observations of naturally occurring events and looking for correlations between phenomena. Natural experiments are primarily just measuring and analyzing statistics.
An experiment in which all variables stay the same is called a "controlled experiment".