Consider your investigation into the drought resistance of GM corn. You have several options for arranging the three groups of plants in the greenhouse. One of the options would expose Group 1 to more sunlight than the other two groups.Explain why this would reduce the validity of your investigation. Use the terms independent variable, dependent variable, hypothesis and valid.
Question
Consider your investigation into the drought resistance of GM corn. You have several options for arranging the three groups of plants in the greenhouse. One of the options would expose Group 1 to more sunlight than the other two groups.Explain why this would reduce the validity of your investigation. Use the terms independent variable, dependent variable, hypothesis and valid.
Solution
In an investigation, the aim is to test a specific hypothesis. In this case, the hypothesis might be "GM corn is more drought resistant than non-GM corn".
The independent variable is the factor that you manipulate to test this hypothesis. Here, it would be the type of corn (GM or non-GM).
The dependent variable is what you measure to see if the independent variable has had an effect. In this case, it would be the drought resistance of the corn.
Validity refers to how well a test measures what it is supposed to measure. For an investigation to be valid, it's important to control all other variables that could influence the dependent variable. This is to ensure that any changes observed in the dependent variable are solely due to the manipulation of the independent variable.
If Group 1 is exposed to more sunlight than the other two groups, sunlight becomes an uncontrolled variable that could affect the drought resistance of the corn. This could lead to inaccurate results, as we wouldn't know if the changes in drought resistance were due to the type of corn (our independent variable) or the amount of sunlight.
Therefore, exposing Group 1 to more sunlight than the other groups would reduce the validity of the investigation, as it introduces another variable that isn't being controlled. This could potentially skew the results and lead to incorrect conclusions being drawn about the effect of the independent variable on the dependent variable.
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