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Biology Review #5
| Term | Definition |
|---|---|
| Problem / Question | An inquiry of a phenomenon. Example - How much fertilizer is the best for my plants? |
| Hypothesis | An answer to the question as a prediction. Example - A moderate amount of fertilizer is best. |
| Experimental Procedure | Must contain a control, a single variable to be tested, multiple trials or test subjects, and measurable data. |
| Control | The subject to which your experiment will be compared. Example - Plant without fertilzer. |
| Experimental Subject | Example - Several plants with varying amounts of fertilizer. |
| Independent Variable | What I am changing. Example - Amount of fertilizer. |
| Dependent Variable | What I am measuring. Example - Height. |
| Data | Something that can be quantified or measured. Examples - Height, size, & number of leaves. |
| Analysis | Interpretation of data. Example - Graph of independent on the x-axis vs. dependent variable on the y-axis. |
| Scale | Should be REGULAR & CONSTANT, labeling the origin with zero if possible. If the data range begins with a larger number, it is ok for the origin to start with something other than 0. |
| Data Points | When connecting data points, DO NOT extend the line to zero, unless it is a data point. DO NOT plot data that is not there. |
| Conclusion | Is where you come to a resolution if your data supports or refutes your hypothesis. |
| Relationship | Can be direct - as X increases, so does Y Can be indirect - as X increases, Y decreases |
| Variables To Be Kept Constant | Examples - Same type of plant, amount of water, amount of light, same soil, & same type of fertilizer. |