In this lab you will analyze a video clip. The clip shows a person dropping a ball. You will determine the position of the ball as a function of time by stepping through the video clip frame-by-frame and by reading the time and the position coordinates of the ball off each frame. You will construct a spreadsheet with columns for time and position and use this spreadsheet to find the velocity as a function of time. The slope of a velocity versus time graph yields the acceleration of the ball. We expect the magnitude of this acceleration to be equal to g = 9.8m/s2 and the direction to be downward.
To play the video clip or to step through it frame-by-frame click the "Begin" button. The "Video Analysis" web page will open. You can toggle between the current page and the "Video Analysis" page by pressing Alt-Tab. Choose one of the ball_x.avi video clips.
| Play the video clip. When finished, the video clip will rewind automatically and stop at frame 0. | |
| In the setup window choose to track the y-coordinate of one object. | |
| Go to the "Take Data" window. Click "Start taking data". A spreadsheet will open up. Take data as described in a previous exercise. |
| Calibrate your data as described in that previous exercise, choose an origin and add a calibrated column. | |||||||||||||
| Highlight your table, click "Edit, Copy" on your browser's menu bar, open Microsoft Excel, and paste the table into an Excel spreadsheet by clicking "Edit, Paste" on Excel's menu bar (("Home, Paste" in Excel 2007). | |||||||||||||
| Your spreadsheet will have three columns, time, y1, and y1 (m).
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Produce a graph of position versus time.
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| On the menu bar click tools (in Excel 2007 click data), data analysis, regression. For the input y range choose column D ($D$2:$D$20. For the input x range choose the corresponding cells of columns A and B ($A$2:$B$20). Under output options check new worksheet, and under residuals line fit plots. Click OK. | |||||||||||||
| The regression function finds the best fitting
polynomial of the form y = a + bx + cx2 for your
data. Under SUMMARY OUTPUT, Intercept, you will find the
coefficient a. Under SUMMARY OUTPUT, X Variable
1, you will find the coefficient b, and
the standard error in this coefficient from the fit.
Under SUMMARY OUTPUT, X Variable 2, you will find the
coefficient c, and
the standard error in this coefficient from the
fit. For motion with constant acceleration we expect that y changes as a function of time as y = x0 + v0t + (1/2)at2, where a is the acceleration. So we expect that the X Variable 2 from the fit is equal to (1/2)a. We expect the magnitude of 2 times X Variable 2 to be equal to that of the gravitational acceleration g within experimental error. |
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Open Microsoft Word and prepare a report using the template shown below.
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In a few sentences summarize the experiment. Which video clip did you choose? | |||
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Insert your position versus time graphs into your Word document.
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Describe your graph. | |||
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What is the magnitude of the average acceleration and the uncertainty in the the magnitude of the average acceleration of the ball? What is the direction of the acceleration? | |||
| How does your experimental value of the magnitude of
the acceleration compare to the accepted value of
the magnitude of the acceleration of a free-falling object (g = 9.8m/s2)? Reminder: percent difference = | |||
| What factors do you think may cause the experimental value to be different from the accepted value? In other words, what are some possible sources of error? |
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Save your Word document (your name_lab2.doc) and attach it to an e-mail message to mbreinig@utk.edu.