Answer :
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When conducting an experiment to determine which color is best for photosynthesis, we need to identify the variables involved:
(a) The independent variable: The independent variable is the factor that is intentionally changed or manipulated in an experiment. In this case, the color of light would be the independent variable because it is being changed to see its effect on photosynthesis. For example, we can have red, blue, and green light as different treatments.
(b) The dependent variable: The dependent variable is the factor that is measured or observed in response to changes in the independent variable. In this scenario, the dependent variable would be the rate of photosynthesis. We would measure the amount of oxygen produced or the rate of CO2 uptake as indicators of photosynthesis efficiency.
(c) Two fixed variables: Fixed variables are factors that are kept constant throughout the experiment to ensure that any changes observed are due to the independent variable. Two examples of fixed variables in this experiment could be:
- Light intensity: Keeping the light intensity constant ensures that any differences in photosynthesis rates are solely due to the color of light.
- Temperature: Maintaining a consistent temperature provides a stable environment for the plants, preventing temperature-related effects on photosynthesis.
By controlling these variables and focusing on the independent and dependent variables, we can conduct a well-designed experiment to determine the impact of different light colors on photosynthesis.