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- 1. Yes, that’s right. I know we’re in science. You still need to do math. MATH AND GRAPHS IN SCIENCE
- 2. Estimation An approximation of a number based on reasonable assumptions. Everyone take a guess! Winner gets 2 tickets!!!! Estimation! (Theartof guessing!) How many marbles???
- 3. Accuracy How close a measurement is to the true or actual value. Accuracy All aimed for bulls eye: all in
- 4. Reproducible How close a group of measurements are to each other. Reproducibility This is also reproducible. What if the darts were in a corner?
- 5. What is this?? Neither!!! Accurate? Reproducible?
- 6. Sig-Figs: This measurement includes all digits that have been measured exactly plus one digit whose value has been estimated. How many sig-figs ??? Significant Figures! My phone is 4.75 inches long! 3!!!!!
- 7. Precision This tells you how exact your measurement is. 4.7563 inches long Precision, precision, precision. Which is more precise? My phone is 4.75 inches long OR My phone is 4.7563 inches long
- 8. Yep, more math… almost done!! (it’s worth it, trust me)
- 9. Graphs: A visual representation of your data (easiest way to know what your data is “saying”)
- 10. Origin Where the two axes meet (where the graph starts) Origin
- 11. Horizontal Axis (x-axis) Think “Horizon” as in- what you see when you watch the sunset! This axis should be labeled with the manipulated variable. Vertical Axis (y-axis) Think “the other one” This axis should be labeled with the responding variable.
- 12. Coordinates A pair of numbers used to determine the position of a point on a graph This is used in locations on a map as well (maps are just like graphs!!) Data Points The point where the coordinates intersect (points of data that are plotted on a graph)
- 13. What is it?? A smooth line that reflects the general pattern of a graph Why is it useful?? This allows you to see the general trend of the data.
- 14. Linear Graph: The linear graph is a result of the data points falling in a straight line naturally on the graph. This data is very predictable Non-Linear Graph: Any graph who’s data points don’t naturally land on a straight line. This is most typical of graphs
- 15. Slope: The steepness of the graph line The slope of the line tells you how much “y” changes for every change in “x” To calculate the slope, use the following equation: Slope = Rise/Run
- 16. SawTooth= BAD!!!!! In science, we never have a broken graph (saw tooth). This is how people make graphs look misleading! Most people will use a saw tooth because it makes their graph look more interesting. This is why you should NOT do that! If it’s a boring graph, it’s boring for a reason and should reflect your boring data!! DON’T BE MISLEADING!!!
- 17. Let’sAnalyze Some Graphs! •What Do you notice about these graphs? •What’s good about them? •What’s bad about them? •What are they telling you?

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