2. Sort the graphs. Match the type of graph to it’s name.

3. Science Graphs S1C4PO1 If a picture is worth a thousand words, a graph is worth a thousand pictures.

4. Today’s Objectives (1) Communicate data through tables and graphs. (2) Create appropriate graphs based on data. Think like scientists!

5. Science Graphs Notes Questions Vocabulary words Formulas Main Ideas Possible Test Questions Key Concepts Summary of the notes and information learned

6. Graphing and Analyzing Science Data In science we collect a lot of data. For that data to be useful we must analyze it... What does this mean? How can I use this? What does this show me? Does this seem logical? Does it prove my hypothesis?

7. Graphing Graphs are a useful tool in science. The visual characteristics of a graph make trends in data easy to see. One of the most valuable uses for graphs is to show data collected during an experiment. The graph shows your results.

8. Why Do We Use Graphs? Graphs help us visualize numerical data. There are 3 different types of graphs: –Bar graphs –Pie graphs –Line graphs

9. Types of Science Graphs

10. Line graph A line graph is used to show continuing data; how one thing is affected by another. It's clear to see how things are going by the rises and falls a line graph shows. This kind of graph is needed to show the effect of an independent variable on a dependent variable. Used to show change over time.

11. Line Graph

13. Scatter Plots 1. Similar to line graphs 2. Used to represent trends and relationship between two variables 3. Data points are NOT connected 4. Can be used with line of best fit 5. Shows how much one thing is affected by another (this relationship is called a correlation)

14. Scatter Plots (continued) When data point are plotted on a scatter plot – the closer the data points come to making a straight line the higher the correlation between the two variables = stronger relationship –lines go from lower left to upper right = positive correlation –lines go from upper left to lower right = negative correlation –no particular pattern = no correlation –Correlation does not mean cause and effect

15. Examples of Scatter Plots http://mste.illinois.edu/courses/ci330ms/youtsey/scat terinfo.html

16. Bar graph A bar graph is used to show relationships between groups. The items being compared do not need to affect each other. It's a fast way to show big differences.

17. Bar Graph graperoot beer lemon-lime cola

18. Pie graph A pie graph is used to show how a part of something relates to the whole. This kind of graph is needed to show percentages effectively. Doesn’t deal with time

19. Pie Graph Ms. Schreiber’s class- student eye color

20. Choosing the Right Graph Use a bar graph if you are not looking for trends (or patterns) over time; and the items (or categories) are not parts of a whole. Use a pie chart if you need to compare different parts of a whole, there is no time involved and there are not too many items (or categories). Use a line graph if you need to see how a quantity has changed over time. Line graphs enable us to find trends (or patterns) over time.

21. Graph Types Vs.

22. Line Graph - Use when the IV changes amount (day #, amount of fertilizer, etc)

23. Graphing in Science 09.09.2011 Graph Types - Line Graph - Use when the IV changes amount (day #, amount of fertilizer, etc)

24. Graph Types Bar Graph - Use when the IV changes type (person name, color of flower, etc.)

25. Graphing in Science 09.09.2011 Graph Types -Line Graph - Use when the IV changes amount (day #, amount of fertilizer, etc) -Bar Graph - Use when the IV changes type (person name, color of flower, etc.)

26. Parts of a Science Graph Title Key X axis Y axis Data

27. Graphing your science data All graphs should have a title and a key or legend. The title should adequately explain what the graph is representing. The key should explain how to read the graph.

28. Graphing your science data Both the X and Y axis should be properly labeled. Do not just put the numbers; state what the numbers mean and use units when necessary (5 miles, 5 minutes, 5 dollars or 5 degrees?) The scale should be drawn so that the graph takes up as much of the paper as possible. This makes the graph easier to draw and easier to read.

29. Graphing your science data The scale should also be consistent. Increase each increment by the same amount (by 1s, 5s, 10s, etc.). Make sure the increment is significant to the data (if the data is measured in 100s, do not make increments of 5). Last, but not least, when appropriate- use COLOR in your graphs!

30. Variables Independent variable- the variable you, the scientist, control and change (goes on the horizontal “X” axis) Dependent variable- the variable changed by the independent variable; the variable you are measuring (goes on the vertical “Y” axis) Control- a test object in which the independent variable is not changed (used for comparison)

31. Parts of a Science Graph Dependent variable: the variable that responds to the change made Independent variable: what you will control/change What’s being measured

32. Graph list 1.Data in correct location 2.Axes labeled with units (cm, L, s, kg, etc.) 3.Axes evenly spaced out 4.Accurate title 5.Correct graph type

33. Graphing in Science 09.09.2011 Graph ✔ List 1.Data in correct location 2.Axes labeled with units (cm, L, s, kg, etc.) 3.Axes evenly spaced out 4.Accurate title 5.Correct graph type

34. Science Graphs Notes Questions Vocabulary words Formulas Main Ideas Possible Test Questions Key Concepts Summary of the notes and information learned

35. Quick Practice (Left Page) Copy this table down and create a line graph for it! Fertilizer Amount in (mg) - IV Plant Height in (cm) - DV 510 13 15 20

36. Quick Practice (Left Page) Fertilizer Amount in (mg) - IV Plant Height in (cm) - DV 510 13 15 20

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