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Graphing in Science 2/22/2016O'Connell1
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Parts of a Graph 2/22/2016O'Connell2 (y-axis dependent variable) (x-axis independent variable)
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Line Graphs Line graphs compare two variables (one is often time). For displaying data or information that changes continuously over time. They enable the viewer to make predictions about the results of data not yet recorded. 2/22/2016O'Connell3
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Line Graph Set-Up 2/22/2016O'Connell5
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Pie Graphs Pie graphs (sometimes called circle charts) are used to show the parts that make up a whole. They can be useful for comparing the size of relative parts. Usually used for percentages (%). 2/22/2016O'Connell6
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Pie Graph 2/22/2016O'Connell7
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Bar Graphs Make comparisons between different groups (variables). The bars do not touch. 2/22/2016O'Connell8
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Bar Graph 2/22/2016O'Connell9
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Bar Graphs Set-Up 2/22/2016O'Connell10
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Histograms Use histograms when y-axis gives the rate of, or occurrences for continuous data that has been sorted into groups, for example, 20-24 meters. All bars are usually of equal width. 2/22/2016O'Connell11
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Histograms 2/22/2016O'Connell12
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Histogram Set-Up 2/22/2016O'Connell13
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Scatter Plot Graphs Scatter plots has points that show relationship between two sets of data (e.g., students’ study time and their grades). Scatter plots usually consist of a large body of data. The closer the data points come when plotted to making a straight line, the higher the correlation (relationship) between the two variables, or the stronger the relationship. 2/22/2016O'Connell14
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Scatter Plot Graph 2/22/2016O'Connell15
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Scatter Plot Graphs If there is absolutely no correlation present then R 2 = 0 The closer R 2 is to 1 or -1, the stronger the correlation, or the stronger the relationship between the variables The closer R 2 is to 0, the weaker the correlation 2/22/2016O'Connell17
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Scatter plot graphs A perfect positive correlation is given the value of 1 A perfect negative correlation is given the value of –1 2/22/2016O'Connell18
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