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PHYS 206.001: Electricity and Magnetism
Assignment: Week 12 / Tuesday
Deadline: Thursday 1:59 pm
(Total: 3 +1 questions)
1. (30 points) (Problems 5 in textbook / Chapter 31)
1
2. (15 points) (Problems 9 in textbook / Chapter 31)
3. (20 points) (Problems 16 in textbook / Chapter 31)
4. (5 points) Multiple choise
I, the PHYS206.001 student,
• attended the class on time;
• attended the class while later more than 10 min;
• was absent.
2
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obtained from the data to obtain the objects acceleration, initial
velocity, and initial position. You will then be asked to answer a few
questions based on what you've learned!Please read the following
instructions for how to complete and turn-in the lab carefully. This lab
may be completed either as an individual report, or you may choose to
work with your classmates in groups of no more than 4 people
to produce a group report. If you choose to work as a group, please
provide a list of all group members at the top-left margin of your
report, and provide a brief description of how the work on the report
was divided.
Lab Instructions :
Download and read the following following Lab-write up. This would
be the instructions for the lab were you to complete the labs in-person.
Although you will not be doing the set up yourselves, use this to get
an idea for how the experiment is set up and carried out :Lab Worksheet (DOC) // Attached belowLab Worksheet (PDF) /// Attached belowAfter reading a description of the lab set-up, please watch the
following short video of me and Professor Inman completing the
experiment in the physics lab! Play media comment.// Linked here //In the video, you can see the graphs produced by the PASCO software.
The experiment was carried out for 3 separate runs, with each run
having a mass of m = 15g, 25g, and 35g, respectively. The raw data for
each of these three runs has been arranged in an excel (or PDF)
spreadsheet for you to work with here : (each run is contained in a separate sheet) Lab 1 Data File (Excel) // Attached BelowLab 1 Data File (PDF) //Attached BelowUse these data files to produce scatter plots of the
position vs. timevelocity vs. timeacceleration vs. time
data for each of the three runs. You should produce a total of 9 graphs, three (position, velocity, acceleration) for each of the three runs. You may use the original data files to display your graphs, or copy them to a separate lab write-up file. Each graph should be clearly labeled, with the appropriate mass for the run and labels for the axes. You may find information on how to produce a graph from a table of date in Excel or in Numbers here :Making a Scatter Plot in Excel (Links to an external site.)Making a Scatter Plot in Numbers (Links to an external site.)Taking the graphs you have produced, fit the appropriate curve to
each graph based on what functional relationship (linear, quadratic,
exponential, etc.) you expect based on your knowledge of the kinematic
equations discussed in class. You may do so by adding a trendline to
your data as outlined below. Please make sure to clearly display your
trendline with the fit coefficients on your finished graphs. Adding a Trendline in Excel (Links to an external site.)Adding a Trendline in Numbers (Links to an external site.)You will notice that each trendline will have an "R-squard" value
quoted. Please watch the following video below if you are unfamiliar
with what this variable measures. You will be asked to answer a question
on how close your fits model the data based on your R values.Submission InstructionsAfter completing the above steps, you will submit your lab write-up
as a file upload directly to this assignment. You may either do so as a
group outlined above or individually. Your lab write-up should include
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Excel data file. (Please rename the file to clearly identify whose work
it is.)A brief (1-2 page) write-up, either in a joint file with your
graphs, or as a separate word doc or pdf, commenting on what you learned
from the lab. Your write-up should include, but not be necessarily
limited to, responses to the following set of questions :
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between the 15g run and the 25g run? Can you find any concrete evidence
in your data to support your observation? What happens as you increase
the hanging mass? What mathematical relationships did you find that best fit the data
for your position, velocity and acceleration graphs? How can you
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for your fits).Based on your answer to part 2, do you believe the experiment
confirmed the simple models for 1D motion that we've been using in
class? If not, what deviations do you observe?Comparing the form of your fit equations to the kinematic equations,
calculate and make a small table with the initial positions, initial
velocities and accelerations for each run.Which of the graphs looked cleanest? Which was noisiest? Why might you think this is? (Think of how the data is collected).
Please submit these files directly through this assignment. The files are due by midnight the night before the first exam.
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Walden University Physics Constant Accelerated Motion Lab Report
Modeling Constant Accelerated Motion in 1DIn this virtual lab, you will be asked to
analyze raw data from a simple motion ...
Walden University Physics Constant Accelerated Motion Lab Report
Modeling Constant Accelerated Motion in 1DIn this virtual lab, you will be asked to
analyze raw data from a simple motion-cart experiment and model these
data points by fitting them to an appropriate curve. The experiment
consists of a motion cart which is connected to a hanging mass by a very
light (massless) string and pulley system as shown in the figure above.
A motion sensor and photogate allow the position and timing information
for the motion of the cart to be recorded, and from this the velocity
and acceleration can be extrapolated. The aim of the experiment is to reproduce
the familiar curves of 1D constant-accelerated motion that we've been
using in class (Kinematic Equations), and to learn how to use the curves
obtained from the data to obtain the objects acceleration, initial
velocity, and initial position. You will then be asked to answer a few
questions based on what you've learned!Please read the following
instructions for how to complete and turn-in the lab carefully. This lab
may be completed either as an individual report, or you may choose to
work with your classmates in groups of no more than 4 people
to produce a group report. If you choose to work as a group, please
provide a list of all group members at the top-left margin of your
report, and provide a brief description of how the work on the report
was divided.
Lab Instructions :
Download and read the following following Lab-write up. This would
be the instructions for the lab were you to complete the labs in-person.
Although you will not be doing the set up yourselves, use this to get
an idea for how the experiment is set up and carried out :Lab Worksheet (DOC) // Attached belowLab Worksheet (PDF) /// Attached belowAfter reading a description of the lab set-up, please watch the
following short video of me and Professor Inman completing the
experiment in the physics lab! Play media comment.// Linked here //In the video, you can see the graphs produced by the PASCO software.
The experiment was carried out for 3 separate runs, with each run
having a mass of m = 15g, 25g, and 35g, respectively. The raw data for
each of these three runs has been arranged in an excel (or PDF)
spreadsheet for you to work with here : (each run is contained in a separate sheet) Lab 1 Data File (Excel) // Attached BelowLab 1 Data File (PDF) //Attached BelowUse these data files to produce scatter plots of the
position vs. timevelocity vs. timeacceleration vs. time
data for each of the three runs. You should produce a total of 9 graphs, three (position, velocity, acceleration) for each of the three runs. You may use the original data files to display your graphs, or copy them to a separate lab write-up file. Each graph should be clearly labeled, with the appropriate mass for the run and labels for the axes. You may find information on how to produce a graph from a table of date in Excel or in Numbers here :Making a Scatter Plot in Excel (Links to an external site.)Making a Scatter Plot in Numbers (Links to an external site.)Taking the graphs you have produced, fit the appropriate curve to
each graph based on what functional relationship (linear, quadratic,
exponential, etc.) you expect based on your knowledge of the kinematic
equations discussed in class. You may do so by adding a trendline to
your data as outlined below. Please make sure to clearly display your
trendline with the fit coefficients on your finished graphs. Adding a Trendline in Excel (Links to an external site.)Adding a Trendline in Numbers (Links to an external site.)You will notice that each trendline will have an "R-squard" value
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with what this variable measures. You will be asked to answer a question
on how close your fits model the data based on your R values.Submission InstructionsAfter completing the above steps, you will submit your lab write-up
as a file upload directly to this assignment. You may either do so as a
group outlined above or individually. Your lab write-up should include
the following :Your 9 graphs produced from the data files, either in the original
Excel data file. (Please rename the file to clearly identify whose work
it is.)A brief (1-2 page) write-up, either in a joint file with your
graphs, or as a separate word doc or pdf, commenting on what you learned
from the lab. Your write-up should include, but not be necessarily
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What difference, if any, did you notice when watching the video
between the 15g run and the 25g run? Can you find any concrete evidence
in your data to support your observation? What happens as you increase
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for your position, velocity and acceleration graphs? How can you
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confirmed the simple models for 1D motion that we've been using in
class? If not, what deviations do you observe?Comparing the form of your fit equations to the kinematic equations,
calculate and make a small table with the initial positions, initial
velocities and accelerations for each run.Which of the graphs looked cleanest? Which was noisiest? Why might you think this is? (Think of how the data is collected).
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