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1. What patterns do you observe based on the information in Table 4?
The greater amount of Dissolved Oxygen (ppm), the greater number of fish observed.

2. Develop a hypothesis relating to the amount of dissolved oxygen measured in the water sample and the number of fish observed in the body of water.
When there is more Dissolved Oxygen (ppm) in the water, the number of fish observed increases.

3. What would your experimental approach be to test this hypothesis?
My experimental approach would be to replicate at least 5 “ponds” using aquatic tanks. Each tank would contain a thermometer to track the temperature and ensure all tanks maintain the same temperature. Each tank would also contain the same amount of fish to begin with (per say, 50 minnows). I would then have each tank contain a different amount of Dissolved Oxygen to test the hypothesis. I would track daily the amount of fish that remain in the tank, removing dead fish as they pass. Once each tank reaches a steady number of fish for three consecutive days, I will conclude the experiment documenting the amount of living fish that remain. This would become my data for the experiment.

4. What would be the independent and dependent variables?
The independent variable (what changes) would be the amount of Dissolved Oxygen (ppm). The dependent variable (the effect of the independent variable) is the amount of fish observed.

5. What would be your control?
The most important control in this experiment would be temperature. To properly gauge the Dissolved Oxygen variances, the temperature in all tests will have to be controlled. Since temperature may affect Dissolved Oxygen levels, it is vital to maintain a controlled temperature during all experiments to render the most accurate data.

6. What type of graph would be appropriate for this data set? Why?
A bar graph would be appropriate for this

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