What are dependent variables?
dependent variables are observable phenomena that are influenced by other phenomena. In an example, for someone who studies how much light affects the rate of plant growth, the growth rate is a dependent variable, because it depends on how much light the plants receive. When people suggest experiments, they identify a dependent variable or dependent variable at the beginning to measure them during the experiment. They also identify all factors that can affect a dependent variable, to the best of their abilities. This "something else" is known as an independent variable. Independent variables may have an impact on dependent variables, but does not change in response to other variables in the experiment. Instead, they are manipulated by an experimenter, while the experimenter by means of controlled manipulation tests predictions about how C Chanby in an independent variable changes dependent variables or variables in the experiment.
dependent and independent variables appear on a wide range of places. For example, the value of the stock market is dependentMen because it is influenced by external factors. In scientific experiments, there are dependent variable things that people try to study and measure. When designing experiments, scientists try to think about all things that can affect things they try to measure to control the experiment environment as much as possible.
In the example of our plant example, the growth rate is a dependent variable, but like things, like plants pass through, whether flowers, etc. In this case, more dependent variables can be manipulated. Do not give the plant enough light can slow the speed of growth, while its too much light can result in burned or damaged leaf buds, which prevents the plant from browsing.
people can identify dependent and independent variables in areas such as statistical analysis, also looking at things that seem to be connected and examine the backreindeer to be connected. However, some caution is recommended here. Correlation is not the cause and in statistical analysis people should avoid temptation to simplify or manipulate information to meet a specific goal. A good analysis will be in itself and readers should agree with how the researcher has identified dependent and independent variables.