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might indicate an effect of the independent variable or might be simply from a change due to time. The third condition should show a return of the dependent variable back to baseline levels. Thus, this design involves control (“A”), experi - mental (“B”), and control (“A”) conditions (see Figure 5. 6).
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Sep 22, 2013 · Sometimes, authors and teachers will use the term “standardized variables” as another name for control variables — the variables you keep constant in an experiment. When you keep these variables constant you can figure out if your independent variable is having an effect. For example, you might have an experiment to see if plants grow better with tap water or spring water. The variables you would need to standardize include: light, fertilizer and soil quality. In a controlled experiment, only one variable is changed to ensure that the effect of only that one variable can be measured. Model 1 – Photosynthesis in an Aquatic Plant Oxygen gas 1. The diagram in Model 1 illustrates a clipping of an aquatic plant in water. a. For example, ”Gender” might be a factor with two levels “male” and “female” and “Diet” might be a factor with three levels “low”, “medium” and “high” protein. The levels within each factor can be discrete, such as “Drug A” and “Drug B”, or they may be quantitative such as 0, 10, 20 and 30 mg/kg. A factorial design is one involving two or more factors in a single experiment.
In other words, it is any factor that can be manipulated, controlled for, or measured in an experiment. Experiments contain different types of variables; below, we will present you with some of the main types and thier definitions, then finish by giving an example containing all variable types. Types of experimental variables:
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