How much fertilizer will be used and what kind of fertilizer.
The object you are testing in a hypothesisThe Independant or manipulated variable is what 'I' or you are changing....if you are measuring the effect of fertilizer on plant height, the Independant variable is the presence/absence of fertilizer.
In an experiment, the independent variable is the variable that is manipulated, for example plant fertilizer. The dependent variable is what is observed and measured as a result of the independent variable, for example plant height. Controlled variables are factors that are kept constant for the entire experiment, such as temperature and moisture, so that the observed results are due only to the independent variable. So in an experiment measuring the effect of fertilizer on plant growth, the independent variable would be the fertilizer, the independent variable would be the height measured at specific intervals, and the controlled variable of temperature and moisture would be kept the same for both groups.
The variable that you change is the independent variable(which you change). This could be the amount of light, fertilizer or salt that you give to a plant to observe how it affects its growth. What you measure is the dependent variable(the variables that change due to the change in independent variable) eg mass of the plant each day or week, number of leaves or height. All other variables are called the control variables(variables that are constant throughout the experiment). These make the experiment a "fair test". In the above experiment if you were to vary the amount of salt in the soil then each plant must be given the same amount of light, fertilizer, water etc.
Independent Variables.
The two broad types of variables in scientific experimentation are dependent and independent variables. Independent variables are variables (ideally only one or very few) that the experimenter manipulates in the experiment. For example, if you were testing the effect of temperature on plant growth rates, you would likely have similar plants in similar conditions but in areas with different temperatures. The experimenter is changing the temperature between the groups of plants, so the temperature would be the independent variable. The dependent variables are the effects the independent variable has on the experimental subjects. They are changes not being directly controlled or manipulated by the experimenter. In the above temperature vs. plant growth example, the rate of plant growth would be the dependent variable; it depends on the temperature.
The independent variables are the milk and water, while the dependent variables are the plants, because they don't change.
The independent variable is the thing you are testing or the thing you control. The dependent variable is what you are measuring.
The object you are testing in a hypothesisThe Independant or manipulated variable is what 'I' or you are changing....if you are measuring the effect of fertilizer on plant height, the Independant variable is the presence/absence of fertilizer.
In an experiment, the independent variable is the variable that is manipulated, for example plant fertilizer. The dependent variable is what is observed and measured as a result of the independent variable, for example plant height. Controlled variables are factors that are kept constant for the entire experiment, such as temperature and moisture, so that the observed results are due only to the independent variable. So in an experiment measuring the effect of fertilizer on plant growth, the independent variable would be the fertilizer, the independent variable would be the height measured at specific intervals, and the controlled variable of temperature and moisture would be kept the same for both groups.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
Independent and dependent are types of variables. These variables are used mostly in science and math. When using independent variables you can control them dependent variables you cannot.
The variable that you change is the independent variable(which you change). This could be the amount of light, fertilizer or salt that you give to a plant to observe how it affects its growth. What you measure is the dependent variable(the variables that change due to the change in independent variable) eg mass of the plant each day or week, number of leaves or height. All other variables are called the control variables(variables that are constant throughout the experiment). These make the experiment a "fair test". In the above experiment if you were to vary the amount of salt in the soil then each plant must be given the same amount of light, fertilizer, water etc.
It depends on the number of variables and their nature: 2 variables, both independent: either axis 2 variables, one independent: x-axis 3 variables, all independent: any axis 3 variables, 2 independent: x or y-axis. 3 variables, 1 independent: x-axis. and so on.
Constants stays the same independent variables is the variable that is being manipulated
It is easier to control independent 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.
Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.