i dont know i need help
An experiment with only one independent variable is called a one-way experiment. This means that the effect on the dependent variable is attributed to changes in only one factor. This design helps to determine the specific impact of that variable on the outcome of interest.
Yes, a valid experiment can have only one independent variable. In fact, many experiments are designed with a single independent variable to investigate its specific impact on the dependent variable while controlling for other factors. This helps researchers to isolate the effect of that variable on the outcome of the experiment.
An independent variable is a part of an experiment that might change due to the outcome not being a desired result. The person conducting an experiment about how a medicine might affect a person, might change the number of people tested to gain more insight into the results. The independent variable in that situation would be the number of test subjects.
In a cause-and-effect relationship, the dependent variable changes due to the independent variable. The independent variable is the one that is manipulated or controlled in an experiment, while the dependent variable is the one being measured to see how it responds to the changes in the independent variable.
No, a dependent variable is the factor that is being measured or observed in an experiment in response to changes in the independent variable. It is the outcome or result that is affected by the independent variable.
i dont know i need help
i dont know i need help
In most real life cases, limiting an experiment to only one independent variable makes the whole experiment a waste of time. More often than not there are several independent variables.
The x variable, of course! If there are only two variables then the independent variable, if one exists, should be plotted on the x-axis.
An experiment with only one independent variable is called a one-way experiment. This means that the effect on the dependent variable is attributed to changes in only one factor. This design helps to determine the specific impact of that variable on the outcome of interest.
Independent variable : )
Actually, you have two - dependent and independent. But, you only have one variable because otherwise the answer wouldn't be accurate if you had more than one variable.
Yes, a valid experiment can have only one independent variable. In fact, many experiments are designed with a single independent variable to investigate its specific impact on the dependent variable while controlling for other factors. This helps researchers to isolate the effect of that variable on the outcome of the experiment.
The independent variable is the variable that the scientist controls and can change in an experiment. There should be only one independent variable in an experiment; otherwise the cause-and-effect of the independent variable cannot be determined.The dependent variable is the variable that is affected by the independent variable.EXAMPLE:Students of the same age have been given different sleeping hours (the independent variable)The next day they are tested for their performance (the dependent variable).(Having students the same age is a third type of variable, called the constant variable or the control variable. It is deliberately kept the same to reduce any effects on the outcome.)
The independent variable is the one that is changing
There can only be one independent and one dependent variable. All other variables should be classed as control variables and must be kept constant to achieve a fair test.
The Independent variable is the one you control. The dependent variable is controlled by the Independent Variable.