Determination of Density and Use of Graphical Analysis
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Objective
To determine the density of a solid (pennies) and use graphical analysis to analyze the results.
Discussion
Density is a physical property of a substance. It is defined as mass per unit volume. Density can be used to distinguish one substance from another. The units for solids and liquids are g/cm3 or g/mL. The units for gases are g/L.
Equipment
- triple beam balance
- 50 mL graduated cylinder
- 32 pennies
- 50 mL beaker
Procedure
- Mass a clean, dry 50 mL beaker to the nearest 0.01 gram. Record the results on the data page.
- Place 12 pennies into the beaker and remass the beaker and contents. Record. Repeat the process using 16, 20, 24, 28, and 32 pennies.
- Half-fill a 50-mL graduated cylinder with water. Carefully read the volume to the nearest 0.1 mL and record.
- Very carefully lower 12 pennies into the cylinder and read and record the new volume. Repeat the process using 16, 20, 24, 28, and 32 pennies.
- Using a computer, load Graphical Analysis.
- To include labels for the horizontal and vertical axes, double-click on the top cell of either column and enter the new label and unit in the pop-up menu that appears. Change the labels and units to be "volume" in "mL" on the x-axis and "Mass" in "grams" on the y-axis. Click OK to accept the changes.
- Input the "x and "y" values from the Data Table for the various trials.
- Click anywhere on the graph in order to make it the active window. To change the title of the graph, click the Title of the graph and enter a new title in the pop-up box that appears. Change the title to be "Density-(Your names)."
- Now from the Graph menu, make sure Point Protectors is turned on. Selecting a menu item "toggles" it on or off. If the item is preceded by a check mark, the item is on. We want Point Protectors turned on. We also want to make sure Connecting Lines is turned off.
- Make sure to move the mouse to each axis label & click. In the dialog box, choose AutoScale at 0. This insures your graph will go through the origin.
- The Regression Line button on the Tool Bar will be used to calculate the best-fit line for the curve. Before you determine the best-fit line, you must select the region of the graph you want to include. Starting at the origin, Click & Drag the mouse across the entire graph. Then Click the Regression Line button (7th one). A best-fit line will be drawn on the graph and a floating box will display the numeric results. Copy the data from this box into the corresponding data table.
- Print one copy of your graph for each group member. To do this, choose Print from the File menu. Print the "whole screen."
Data
Mass of beaker: __________
Mass of beaker plus 12 pennies: __________
Mass of beaker plus 16 pennies: __________
Mass of beaker plus 20 pennies: __________
Mass of beaker plus 24 pennies: __________
Mass of beaker plus 28 pennies: __________
Mass of beaker plus 32 pennies: __________
Volume of water: __________
Volume of water plus 12 pennies: __________
Volume of water plus 16 pennies: __________
Volume of water plus 20 pennies: __________
Volume of water plus 24 pennies: __________
Volume of water plus 28 pennies: __________
Volume of water plus 32 pennies: __________
| Number of Pennies | Mass | Volume | Density |
Graphical Analysis information
Correlation Coefficient: __________
M = ___________
B = _________________
Calculations
1. Using the equation D = M / V, determine the density for the pennies. Show ONE sample calculation here.
2. Using all of your calculated densities, determine the average value for density. Show work here.
3. Post-1982 pennies are 97.5% zinc and 2.5% copper. The density of zinc is 7.13 g/mL and the density of copper is 8.92 g/mL. Calculate the theoretical density of a post-1982 penny. Show work.
4. Using your theoretical density and your average density, calculate the experimental error. Show work.

5. The M value that you determined with the graphical analysis program is the slope of the best-fit line. Since we graphed mass vs volume, the slope represents our density. Use the M value as your experimental value and calculate the experimental error again.
6. Did the average density or the slope of the best-fit line give you the lowest percent error?
7. Why should the slope give you better results?
8. Give some sources for your error.