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Types of Graphs (I would take some notes on this!)

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Presentation on theme: "Types of Graphs (I would take some notes on this!)"— Presentation transcript:

1 Types of Graphs (I would take some notes on this!)

2 Line graphs – data that change –Independent variable – one you set (x-axis) –Dependent variable – changes in response to independent (y- axis), one you measure

3 Presenting Scientific Data Line graphs are best for continuous change. –dependent variable: values depend on what happens in the experiment Plotted on the x-axis –independent variable: values are set before the experiment takes place Plotted on the y-axis

4 Line Graph shows the relationship between 2 variables –Dependant –Independent Dependent Variable Independent Variable

5 Line Graph

6 Other types of graphs Bar graphs – compare data for several items/events Pie charts – display data that are parts of a whole

7 Bar Graph shows information collected by counting

8 Bar Graph

9 Pie Graph shows distribution of parts within a whole quantity –Rarely used for science labs!

10 Presenting Scientific Data, continued Pie graphs show the parts of a whole. –A pie graph is ideal for displaying data that are parts of a whole. –Data in a pie chart is presented as a percent. Composition of a Winter Jacket

11 Presenting Scientific Data, continued 〉 Why is organizing data an important science skill? 〉 Because scientists use written reports and oral presentations to share their results, organizing and presenting data are important science skills.

12 Bellringer Imagine your teacher asked you to study how the addition of different amounts of fertilizer affect plant heights. In your experiment, you collect the data shown in the table below. Use this data to answer the following questions.

13 Bellringer, continued 1. Which amount of fertilizer produced the tallest plants? 2. Which amount of fertilizer produced the smallest plants? 3. Plot the data on a grid like the one below. 4. Describe the overall trend when more fertilizer is used to grow plants.

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16 Key Ideas 〉 Why is organizing data an important science skill? 〉 How do scientists handle very large and very small numbers? 〉 How can you tell the precision of a measurement?


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