1. Handling Your Data

2. Accuracy of your data 1.Make sure to do the test several times to make sure that you are using the correct / same procedure every time. 2.Calculate an average whenever possible. It is a more accurate representation of your data. 3.The more trials you attempt, the more accurate your data.

3. Quantitative & Qualitative Quantitative: numbers such as time, amounts, height, weight, liters, grams, etc. Qualitative: non-number data such as smell, taste, texture, color, shape, sound, etc.

4. Graphs All graphs must have: –A–A descriptive title –T–The x & y axis labeled –P–Proper scale –A–A key when necessary

5. Pie, Line or Bar Graph?? Bar graphs are used when one of your variables is quantitative and the other is qualitative.

6. Line A line graph is used when both of your variables are quantitative.

7. Pie Charts Pie charts are used when you want to show parts of a whole.

8. The x & y axis The independent variable (manipulated) is on the x axis. The dependent variable (responding) is on the y axis.

9. 1. How much time will it take for 40 students to find suitable materials in the library? 2. Which news station did republicans show up on the most in January? 3. How much of the trash produced in Norman is recyclable? Graph 1 Graph 3 Graph 2

10. The effect of the shape of the paper on the time it takes to fall Time in seconds Shape of the paper

11. Conclusion Must have: Your original hypothesis Whether the hypothesis was supported by the data or rejected The actual data that was used to shows support or rejection A reason why you got those results. (may need to research this)

12. Example of a conclusion Our original hypothesis was that the shape of the paper would have no effect on how fast it falls. Based on our data, that hypothesis was rejected because the folded paper took an average of 1.4 seconds to fall, while the 2 other shapes were well under a second. We believe that the folded paper took longer because the folds caused the paper to trap air in it, much like a parachute works.