TSW use graphing as a tool in data analysis

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Presentation transcript:

TSW use graphing as a tool in data analysis Constructing Graphs TSW use graphing as a tool in data analysis

Why do we graph data? Show trends Imply similarities or differences in data collected during an experiment Physically/visually represent data

5 Parts of a Graph Title Independent Variable Dependent Variable Scale for each variable recorded on the axis A key to the marks, lines, or different types of data

1. Plan out your graph Pre-plan Use the 75% rule…your graph should cover ¾ of the area provided Do not extend your graph beyond the limits of the graph paper provided

2. Choose the appropriate type of graph Line Graphs: Track change over time Bar Graph: Make comparisons between groups Pie Chart: Compare parts of a whole

3. Determine your variables What is the dependent variable and why? Usually goes on the Y-Axis What is the independent variable and why? Usually goes on the X-Axis What title should your graph have?

4. Determine the scale Play the “Range Game” Find the highest value for your data set and then count the available spaces on the appropriate axis Each square must equal the same amount of “X” and “Y” on a given axis Ex. 2, 4, 6, 8, 10 not 2, 4, 5, 7, 8, 10

5. Plot your points Plot your data points as accurately as possible Remember: All points do not have to fall exactly on a line…it is okay to estimate and plot a point between lines

Other helpful info… Title your graph Include a legend and label with units if you have multiple lines or bars on your graph Look hard at your graph…is it clear? Neat? Large enough? Does it show what happened?