Graphical Analysis I Graphing Experimental Data. As a barge is loaded with more cargo Weight, the Depth that it sinks into the water changes. The table.

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Presentation transcript:

Graphical Analysis I Graphing Experimental Data

As a barge is loaded with more cargo Weight, the Depth that it sinks into the water changes. The table below shows data for this situation. WEIGHT DEPTH (tonnes)(cm) A)Plot a graph of these data.

Graphs of Experimental Data The independent variable is plotted on the horizontal (X) axis; The dependent variable is plotted on the vertical (Y) axis. In this experiment, the depth that the barge sinks depends on its weight. So, depth is the dependent variable, and is plotted on the Y axis.

Graphs of Experimental Data The independent variable is plotted on the horizontal (X) axis; The dependent variable is plotted on the vertical (Y) axis. Label each axis with the quantity and its units.

As a barge is loaded with more cargo Weight, the Depth that it sinks into the water changes. The table below shows data for this situation. WEIGHT DEPTH (tonnes)(cm) Weight (t) D e p t h ( c m )

Graphs of Experimental Data The independent variable is plotted on the horizontal (X) axis; The dependent variable is plotted on the vertical (Y) axis. Label each axis with the quantity and its units. Determine an appropriate scale for each axis, and mark the major “tick marks”. An “appropriate scale” is one which makes the graph as large as possible, using divisions of 1, 2, or 5 for each line (e.g., 0.1,0.2, 0.5, or 1000, 2000, 5000,...)

As a barge is loaded with more cargo Weight, the Depth that it sinks into the water changes. The table below shows data for this situation. WEIGHT DEPTH (tonnes)(cm) Weight (t) Depth (cm)

Graphs of Experimental Data The independent variable is plotted on the horizontal (X) axis; The dependent variable is plotted on the vertical (Y) axis. Label each axis with the quantity and its units. Determine an appropriate scale for each axis, and mark the major “tick marks”. Plot the data points on the graph, using point protectors. A point protector is a small circle (or square, triangle, etc.) drawn around the data point. Its purpose is to: Identify the actual data points (as opposed to the line indicated by the points. Illustrate that the point has some uncertainty due to the precision of the instrument.

As a barge is loaded with more cargo Weight, the Depth that it sinks into the water changes. The table below shows data for this situation. WEIGHT DEPTH (tonnes)(cm) Weight (t) Depth (cm)

Graphs of Experimental Data The independent variable is plotted on the horizontal (X) axis; The dependent variable is plotted on the vertical (Y) axis. Label each axis with the quantity and its units. Determine an appropriate scale for each axis, and mark the major “tick marks”. Plot the data points on the graph, using point protectors. Draw the best straight line or smooth curve that indicates the relationship.

As a barge is loaded with more cargo Weight, the Depth that it sinks into the water changes. The table below shows data for this situation. WEIGHT DEPTH (tonnes)(cm) Weight (t) Depth (cm)

Graphs of Experimental Data The independent variable is plotted on the horizontal (X) axis; The dependent variable is plotted on the vertical (Y) axis. Label each axis with the quantity and its units. Determine an appropriate scale for each axis, and mark the major “tick marks”. Plot the data points on the graph, using point protectors. Draw the best straight line or smooth curve that indicates the relationship. Give the graph a title that describes the experiment.

As a barge is loaded with more cargo Weight, the Depth that it sinks into the water changes. The table below shows data for this situation. WEIGHT DEPTH (tonnes)(cm) Weight (t) Depth (cm) Effect of Cargo Weight on Barge Sinking

Graphs of Experimental Data The independent variable is plotted on the horizontal (X) axis; The dependent variable is plotted on the vertical (Y) axis. Label each axis with the quantity and its units. Determine an appropriate scale for each axis, and mark the major “tick marks”. Plot the data points on the graph, using point protectors. Draw the best straight line or smooth curve that indicates the relationship. Give the graph a title that describes the experiment.