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Graphing in Science. Why do we graph? Visual representation of data “Short hand” for presenting large amounts of information at once Easier to visualize.

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Presentation on theme: "Graphing in Science. Why do we graph? Visual representation of data “Short hand” for presenting large amounts of information at once Easier to visualize."— Presentation transcript:

1 Graphing in Science

2 Why do we graph? Visual representation of data “Short hand” for presenting large amounts of information at once Easier to visualize trends than by just using numbers or figures More organized way of showing information

3 Types of Graphs: Data Table Height (cm) of Jr. High Students by Grade 7th8th9th 140152160 144155166 144160162 150166180 155150175 130152177 133144152 155188 140155159 140180166 141182165 172169166 180160167 166160152 154160184 155 170 138175170 166153162 181140166 154145180 Used to organize data collected Easily make transition from raw numbers into a visual representation

4 Types of Graphs: Bar Graph Shows data as a side-by- side comparison X axis is usually used to plot independent variable Y axis is usually used to plot dependent variable

5 Types of Graphs: Line Graph Usually shows a change over time or distance X axis is used to plot independent variable (time, distance, etc.) Y axis plots the dependent variable

6 Types of Graphs: Pie Chart Shows parts of a whole (percentages) Must have all data available and no groups can share any data Example: Can’t use a circle graph to show athletes by sport at TH Bell

7 Parts of a Graph

8 Graph Title Y Axis Label - Include units X Axis Label Legend

9 Graph Title Y Axis Label Legend X Axis Label

10 Data Label Graph Title

11 Graphing Basics

12 D-TAILS D-TAILS is an acronym used to help you remember everything you need to create a successful graph.

13 D -TAILS Data covers 50% of the graph area and is accurately placed. YES!!! NO!!!

14 D- T AILS Title Includes what the graph is about and both the manipulated and responding variables. Hours of Sleep vs. Quiz Scores

15 D-T A ILS Axis Labels – manipulated variable is always on the x-axis and responding variable is always on the y-axis Hours of Sleep vs. Quiz Scores Sleep Quiz Scores

16 D-TA I LS Interval Marks Consistent spacing and always start at zero! Hours of Sleep vs. Quiz Scores Sleep Quiz Scores 0 1 2 3 4 5 6 7 8 100 75 50 25 0

17 D-TAI L S Label Units In ( ) after the axis label, include the proper units (if there are units) Hours of Sleep vs. Quiz Scores Sleep (hrs) Quiz Scores (%) 0 1 2 3 4 5 6 7 8 100 75 50 25 0

18 D-TAI L S Scale Always go by an even scale. Ex: 1,2,3,4 NOT 1,2,4,8 Hours of Sleep vs. Quiz Scores Sleep (hrs) Quiz Scores (%) 0 1 2 3 4 5 6 7 8 100 75 50 25 0

19 DRY/MIX Y axis runs vertical ( ↑ ) “DRY” X axis runs horizontal ( → ) “MIX”Y-axis X-axis

20 After drawing a graph, write a data analysis statement: This graph shows that as mv increases, rv D-TAILS

21 Always draw a trend line (do NOT connect the dots) to show the mv/rv relationship. Describe the Relationship

22

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