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If you have substantially more than one, you run the risk that your experimental results don't mean what you think they mean. It's always best to eliminate as many variables as it's possible to eliminate, because when you get your results, you have to figure out how much each variable affected them.
Extraneous variables are any variables other than the independent variable (the experimental variable) that can affect the real-world situation, with multiple uncontrollable variables that can affect the outcome of any experimental manipulation. These include the different personality, intellectual, and motivational qualities of the individual students in the various classes and the nature and quality of their interactions. Added to this is the fact that each class has a different teacher, whose own personal teaching style may influence the outcome. Some of these extraneous variables can be statistically controlled by the use of techniques like analysis of covariance, but this may be of limited value in a small scale intervention.
Experimental growth function are graphs. The graphs shows the growth of each function.
In a controlled experiment, the control variable remains constant while the experimental variable changes with each trial of the experiment.
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.
There are potential variables that are kept constant for each trial in a set of trials.
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A control sample is the experiment under regular conditions. An experimental sample is the experiment in which different variables are changed.
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These "variables" are called independent variables or constant variables meaning that they are capable of being changed by the experimenter but are intentionally held the same through each individual experiment.
If you have substantially more than one, you run the risk that your experimental results don't mean what you think they mean. It's always best to eliminate as many variables as it's possible to eliminate, because when you get your results, you have to figure out how much each variable affected them.
Extraneous variables are any variables other than the independent variable (the experimental variable) that can affect the real-world situation, with multiple uncontrollable variables that can affect the outcome of any experimental manipulation. These include the different personality, intellectual, and motivational qualities of the individual students in the various classes and the nature and quality of their interactions. Added to this is the fact that each class has a different teacher, whose own personal teaching style may influence the outcome. Some of these extraneous variables can be statistically controlled by the use of techniques like analysis of covariance, but this may be of limited value in a small scale intervention.
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Dependent variables and independent variables refer to values that change in relationship to each other. The dependent variables are those that are observed to change in response to the independent variables. The independent variables are those that are deliberately manipulated to invoke a change in the dependent variables. In short, "if x is given, then y occurs", where x represents the independent variables and y represents the dependent variables. Depending on the context, independent variables are also known as predictor variables, regressors, controlled variables, manipulated variables, explanatory variables, or input variables. The dependent variable is also known as the response variable, the regressand, the measured variable, the responding variable, the explained variable, the outcome variable, the experimental variable or the output variable. This answer was coppied onto this page by tom hills of falmouth waii
Experimental growth function are graphs. The graphs shows the growth of each function.
A function is a relationship between quantities (variables) that occurs when the value of one of the quantities can be given uniquely by specified values of the other quantities. The variables involved can be either independent or dependent. The values of certain variables are fixed while others are allowed to change. The fixed variables are called the independent variables, and the dependent variables are those that change in response to the given value of the independent variable. A function therefore relates dependent variables to independent variables, the only restriction being that each value of the dependent variable is given uniquely by one, and only one, value for each of the independent variables.
a DEPENDENT variable is one of the two variables in a relationship.its value depends on the other variable witch is called the independent variable.the INDEPENDENT variable is one of the two variables in a relationship . its value determines the value of the other variable called the independent variable.