1. Based on this information, what patterns do you observe?

The information has a distinct pattern associated with it. When the dissolved oxygen increases so does the number of fish observed. However, when the dissolved oxygen reaches 14 ppm the number of fish decreases to 10. So, 6ppm and 14ppm, 8ppm and 16ppm, and finally 10ppm and 18ppm, have a similar 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.

If the amount of dissolved oxygen is increased, then the number of fish observed will increase.

3. What would your experimental approach be to test this hypothesis?

For my experimental approach to test this hypothesis would be very simplistic. I would replicate the experiment and use different amounts of dissolved oxygen and test the amount of fish observed, but I would make sure that I only tested one variable at a time and that I had a control.

4. What are the independent and dependent variables?

The independent variable is the amount of dissolved oxygen in the water and the dependent variable is the number of fish observed.

5. What is your control?

The control is the amount of dissolved oxygen equal to 0ppm.

What type of graph is appropriate for this data set? Why?

The type of graph that is appropriate for this data set is a line graph. The line graph is more appropriate because it shows the trend between the two variables and there is a direct relationship between each point connected.

6. Graph the data from Table 2 (above) in the space below.

7. Interpret the data from the graph made in Question 7.

From the 0-12 ppm of dissolved oxygen the number of fish observed increased. From the point 13-14 ppm the number of fish decreased, but then increased from 15-18 ppm of dissolved oxygen.

8. Determine which of the following observations are testable.

For those that are testable: