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.
There are 2 variables and they are independent and dependant.
The independent variable is the thing you are testing or the thing you control. The dependent variable is what you are measuring.
The independent variables are the milk and water, while the dependent variables are the plants, because they don't change.
In an experiment examining the effects of fertilizer and soil on flower production, the independent variables would be the type or amount of fertilizer used and the type or quality of soil. These factors are manipulated to observe their impact on flower production, which would be the dependent variable. By altering these independent variables, researchers can assess how they influence the number or health of the flowers produced.
The independent variable in this experiment is the different brands of fertilizer being tested. The dependent variable is the rate of plant growth, which will be measured and influenced by the independent variable.
A response variable, also known as a dependent variable, is the outcome or measurement that researchers are interested in studying or predicting in an experiment or observational study. It is influenced by one or more independent variables (predictors or explanatory variables). For example, in a study examining the effect of fertilizer on plant growth, the height of the plants would be the response variable. Analyzing the response variable helps determine the relationship between it and the independent variables.
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.
In this experiment, you would have two groups of plants: one group that receives fertilizer and one that does not. The independent variable is the fertilizer application, as this is what we are manipulating. The dependent variable is the plant growth, as this is what we are measuring as the outcome of the experiment. Data to collect would include measurements of plant height, number of leaves, and overall plant appearance over a set period of time to determine the effect of fertilizer on plant growth.
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.
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.