What are dependent variables? Give an example.
Dependent variables are the variables that are influenced or affected by other variables in a research study. They are the outcomes or results that researchers are interested in studying and are dependent on the independent variables.
For example, suppose a researcher is conducting a study to investigate the impact of studying duration on test scores. In this case, the dependent variable would be the test scores, as they are influenced by the independent variable (studying duration). The researcher would measure the test scores to see how they are affected by different lengths of studying.
Dependent variables are the variables that are being measured or observed in an experiment. They are called dependent because their values depend on the values of the independent variables or the treatments being applied in the experiment. Dependent variables are used to assess the effect of the independent variables on it.
Example: In a study investigating the effect of different fertilizers on plant growth, the dependent variable could be the height of the plants. The height of the plants depends on the type and amount of fertilizer being applied, so it is the dependent variable in this experiment.
Dependent variables are the variables in an experiment that are observed, measured, or recorded in response to changes made to the independent variable. They are "dependent" because their values depend on the values of the independent variable. In other words, they are the outcome or the effect of the changes made to the independent variable.
Let's take an example to understand dependent variables better. Suppose you are conducting an experiment to determine the effect of different fertilizers on plant growth. In this experiment, the independent variable is the type of fertilizer used. The dependent variable, in this case, would be the plant growth or the height of the plants.
To determine the effect of different fertilizers on plant growth, you will have multiple groups or treatments where each group receives a different type of fertilizer. After a certain period of time, you would measure the height of the plants in each group. The height of the plants would be the dependent variable, as it is what you are observing and recording as a response to the changes in the independent variable (type of fertilizer).
By comparing the heights of the plants in each group, you can analyze and determine which fertilizer had a greater impact on plant growth. The dependent variable (plant growth) gives you valuable information about the relationship between the independent variable (type of fertilizer) and the outcome of the experiment.