In Jenness' experiment on conformity, the independent variable is the presence of others giving estimates of the number of beans in a bottle, while the dependent variable is the change in individual estimates after hearing others' estimates. The independent variable (presence of others) is manipulated to see its effect on the dependent variable (individual estimates).
The two types of variables in an experiment are independent variables, which are controlled by the experimenter and can be manipulated, and dependent variables, which are the outcome or response that is measured in the experiment and may change in response to the independent variable.
The independent variable is the amount or type of exercise that the participants engage in. The dependent variable is the participants' weight measurements.
Controlling variables in an experiment is important because it allows researchers to isolate the effects of the independent variable on the dependent variable. This helps to ensure that any observed changes are actually due to the manipulation of the independent variable, rather than other factors. Controlling variables also helps to increase the reliability and validity of the study results.
In biology, the dependent variable is the factor being measured or tested in an experiment, and its value depends on the independent variable. The independent variable is the factor that is manipulated or controlled by the researcher to observe its effect on the dependent variable. For example, if studying the effect of different fertilizer amounts (independent variable) on plant growth, the plant growth measurements would be the dependent variable.
Independent variables are the factors that are manipulated or changed by the experimenter in a study or experiment. They are the variables that are believed to have an effect on the dependent variable, which is the outcome being measured. In research, the independent variables are controlled and varied to observe their impact on the dependent variable.
Independent variable: Number of confederates providing the wrong answer Dependent variable: Level of conformity
the independent variable controls the dependent variables
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
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.
The two types of variables in an experiment are independent variables, which are controlled by the experimenter and can be manipulated, and dependent variables, which are the outcome or response that is measured in the experiment and may change in response to the independent variable.
Dependent variables are the outcomes or responses that are measured to assess the effect of manipulating the independent variables. They depend on the changes made to the independent variables in the experiment.
In a controlled experiment, the Independent variable refers to the variable that is manipulated or altered. The dependent variable, meanwhile, is the result of the experiment.
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.
It is easier to control independent variables
The test variable (independent variable) controls the outcome variable (dependent variable).
Independent and dependent does go under experiment on the scientific method.
It is important because ............