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Mario performed an experiment to determine if photosynthesis was affected by the amount of light that a plant received. The data from his experiment are shown in the table below.

\begin{tabular}{|c|c|c|}
\hline
Amount of light (hours) & Number of plants & Average volume of oxygen produced [tex]$(mL)$[/tex] \\
\hline
1 & 4 & 0.50 \\
\hline
6 & 4 & 2.0 \\
\hline
10 & 4 & 5.0 \\
\hline
\end{tabular}

What could he have done to increase the validity of his data?

A. Reduce the number of plants.
B. Remove the 1-hour group.
C. Add a 0 hours control.
D. Measure the oxygen in liters.



Answer :

GinnyAnswer
To increase the validity of his data, Mario could add a 0 hours control. Including a control group that receives no light provides a baseline measurement. This allows for a comparison between plants that receive varying amounts of light and those that receive none. Having a control group is essential in experiments as it helps to ensure that the observed effects (in this case, the volume of oxygen produced) are due to the variable being tested (the amount of light) and not other factors.

Reducing the number of plants would likely decrease the validity because it would provide fewer data points and could make the results less reliable. Removing the 1 hour group would reduce the range of data and may overlook the effects of minimal light exposure. Measuring the oxygen in liters rather than milliliters wouldn't necessarily increase the validity; it would just be a different unit of measurement and would not affect the accuracy or reliability of the data.

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