Lab Report Format - De Smet Jesuit High School



Lab Report Format

Physics - Mr. Bender

Section 1 – Title Page

The title page should include each of the following items:

1. Title of the experiment. The title should be descriptive of the experiment that was performed. Be creative!

2. Name of experimenter/report author. This is you.

3. Date. This should list the date(s) that the experiment was performed.

4. Lab Partners. This should list the names, first and last, of each of the students with whom you performed the experiment

5. Period. This is the physics class period you are in.

Section 2 – Introduction

The introduction should include the items in the list that follows.

6. Purpose of experiment. State clearly in the purpose section, your objective for the experiment. In general this should tell what you are trying to find, determine, show, verify, etc. Example: The purpose of this experiment is to determine how the mass of a bob affects the period of a pendulum.

7. Hypotheses. Basically, a hypothesis is your best guess/prediction as to what the results of your experiment might be. This should be stated in an if/then or similar mode. A hypothesis will help guide you as you design and carry out an experiment to fulfill your purpose. If there are three major parts to an experiment, you should generate a separate hypothesis for each part of the experiment.

Example: As the mass hanging on the end of the pendulum increases, the time required to complete a swing of the pendulum will increase.

Note that there is no pressure on you to have a “correct” prediction in your hypotheses. You should certainly never bias your experiment to try to make your hypotheses “true”.

8. Equipment Used. Make a complete list of the equipment necessary to perform the experiment the way you performed the experiment.

9. Diagram/Description of the experimental setup. You should always include a diagram of the physical layout of the apparatus for your experiment. You are not required to be an excellent artist. You are however, expected to make a neat, and properly descriptive diagram. Use a straight edge for straight lines. Label all parts of our diagram. If the diagram does not “stand alone” to describe how to set up the equipment, you should include a written description of the experimental setup to supplement your diagram.

10. Procedure. Write a brief yet complete procedure that describes how to perform the experiment. Your directions should be clear enough that a student not in this class should be able to perform this experiment using your directions, but please don’t bore me with pages and pages of description of the procedure. This is not the place for explaining calculations or graphs.

Section 3 – Data and Analysis

The Data and Analysis section should include each of the following items:

11. Data Table. The data table should be neatly laid out with a variable heading including units at the top of each column. Data should be displayed in columns (not rows) to the correct number of significant figures for the instruments and techniques used in its collection. Data tables should be titled with some sort of descriptive title making it clear which part of the experiment the data represents. Data tables should have lines (drawn with a straight edge), which separate columns and which offset the title, variable descriptions and unit descriptions from the data. There is no need to include units on each entry in the data table if the units have been specified in the column heading. Pay attention to standard convention for the placements of the independent variable (left most column) and the dependent variable (to the right of the independent variable). Sometimes it will be more convenient to use abbreviations to describe the quantity in some or all of the columns of a data table. If you use abbreviations, be sure to specify exactly what your abbreviations represent. Include, near your data table, a description of the values of quantities which were held constant in the experiment. This will be very important when you attempt to determine the significance of the constant of proportionality of the graphs.

12. Sample Calculations. Many values in your data table may not actually be collected data but may rather be the result of some manipulation or calculation of the data collected in the experiment. You do not have to show each individual manipulation and/or calculation if you will show one example of each manipulation or calculation with some description of what is being done and with some reference to which column of the data table is being demonstrated by the sample calculation. Don’t forget to show the equation(s) used in calculations (if you used one) and to include units throughout the calculation.

13. Graph(s). For each relationship that is being investigated in your experiment, you should prepare the appropriate graph. In general your graphs in physics will be scatter graphs. The graphs will be used to both solidify a conceptual understanding of the relationship but also to develop a mathematical statement which describes that relationship. If your graph does not yield a straight line, you will be expected to manipulate one (or more) of the axes of your graph, replot the manipulated data, and continue doing this until a straight line results. In general it should never take more than three graphs to yield a straight line. Graphs will be checked for each of the elements described in class as essential for good graphing. These include:

a. A title which describes the experiment. For example, if the graph shows the distance moved by a rolling ball as a function of time, and distance is the dependent variable and time is the independent variable, a good title might be DISTANCE vs. TIME FOR A ROLLING BALL.

b. A graph which fills the space allotted for the graph. You should have one graph per side of a sheet of graph paper and the graph should be as large as the paper and proper scaling techniques will permit.

c. The graph must be properly scaled. Scale each axis so as to take up a maximum amount of the space available yet still maintaining divisions which will make plotting the graph as easy as possible.

d. Each axis must be labeled with the quantity being measured and the units of measurement. For example on a graph of distance vs. time squared, the horizontal axis should read: TIME2 (s2)

e. Each data point should be plotted in the proper position. You should plot a point as a small dot at the position of the data point and you should circle the data point so that it will not be obscured by your line of best fit. These circles are called point protectors.

f. A line or curve of best fit. This line should show the overall tendency of your data. If the tendency is linear, you should draw a straight line which shows that tendency using a straight edge. If the tendency is a curve, you should sketch a curve which is your best guess as to the tendency of the data. This line (whether straight or curved) does not have to go through all of the data points and it may, in some cases, not go through any of them. Do not connect successive data points with a series of straight lines, dot to dot. This obscures the overall tendency of the data that you are trying to represent.

g. Choose two points for all linear graphs from which to calculate the slope of the line of best fit. These points should not be data points unless a data point happens to fall perfectly on the line of best fit. Pick two points which are directly on your line of best fit and which are easy to read from the graph. Mark the points you have chosen with a +.

h. Do not do other work in the space of your graph such as the mathematical analysis.

14. Mathematical Analysis. In this section you will find an equation which describes the relationship between the variables for each straight line graph that you have plotted. If the relationship is a direct proportion (a straight line graph through the origin) you should follow the steps on the left. If the relationship is any straight line, which is not a direct proportion, you should follow the steps on the right.

| |DIRECT PROPORTION |LINEAR GRAPH, NOT A DIRECT PROPORTION |

|a. |x ( position |x ( position |

| |t ( time |t ( time |

|b. |x ( t |y = mx + b |

|c. |x = k ( t |x = k ( t + b |

|d. | | |

| | | |

|e. | | |

| | | |

| | | |

|f. |k = 1.87 m/s |k = 1.87 m/s |

| | |b = 1.00 m |

|g. |x = 1.87 m/s ( t |x = 1.87 m/s ( t + 1.00 m |

Section 4 – Error Analysis

The error analysis section will always include a qualitative discussion of sources of error and will, when appropriate, include a calculation of the absolute and relative error.

15. Sources of Error. This section should discuss any factors which could have affected the results of your experiment. Be specific. Explain the source of error and how this error could have affected your data. It would be unacceptable to claim “human error” as a source of error; however, it would be reasonable to claim that when you were placing paper wads on the floor you may have inadvertently placed a paper wad in front of or behind the actual position of the car thus affecting the position measurements. Sometimes the error is avoidable because it is the result of poor measuring on the part of the experimenter. While you should avoid this type of error, you should report all possible sources of error in an experiment.

16. Error Calculations. Where there is an accepted value for a quantity which you are determining in an experiment, you should include a calculation of the absolute error and the relative error in the experiment. For instance, let’s say the slope of a velocity vs. time graph represents the acceleration due to gravity, and the accepted value for this quantity is 9.80 m/s2. The slope of your velocity vs. time graph yields an experimental value of 9.92 m/s2. The calculation of the absolute error and relative error would be as follows.

|ABOLUTE ERROR |RELATIVE ERROR |

|Absolute Error = |accepted value – experimental value| | |

|Absolute Error = |9.80m/s2 – 9.92m/s2| | |

|Absolute Error = |-0.12m/s2| |Relative Error = 0.012 |

|Absolute Error = 0. 12m/s2 |Relative Error = 1.2% |

0.12 m/s2

9.80 m/s2

Section 5 – Conclusions

This is the most important part of your lab report. It will be worth a major portion of the credit on the lab. You should devote considerable thought and effort to this section of every lab report. This section should summarize the results of the experiment, discuss thoroughly the relationships found, and support any statements made with direct evidence from the experiment. Make sure that your conclusion has included a thorough discussion of all relationships shown by your experiment, carefully traced from their experimental beginnings through the graphical and mathematical analysis of the data to the derivation of the equations and the establishment of a scientific principal. This section should tie the relationships shown by your experiment together in a logical flow which demonstrates and supports your conclusion statements. Don’t leave anything to the imagination of the reader. Make it absolutely clear what you have found out in the experiment and leave no doubt as to how you were able to determine that it was true.

17. Restate your purpose. Your conclusions should begin by addressing the purpose you originally stated in the introduction.

18. Draw conclusions and support them. What did your experiment show? How do you know? These questions should be answered thoroughly in your experiment. It is not enough to draw a good conclusion. Any concluding statement that you make should be backed up by specific evidence from your experiment. Make it clear what part of your experiment and/or analysis allows you to make the statement.

a. State, in clear English, what is shown by your experiment.

b. State what general tendencies are shown by your graphs.

c. Restate, in equation form, the relationships that are shown by your graphs.

d. Explain, in words, what the equations are telling you about the relationships shown by the graphs.

e. Cite specific evidence from the experiment which backs up any claim you make.

19. Determine the significance of the constant of proportionality of your graph. The slope of your straight line graphs always have some physical significance. You should make every attempt to determine what that significance is and to explain its significance in your conclusions. There are two major things you should consider when attempting to do this.

a. What were the values of quantities which were held constant in the experiment. The constant of proportionality nearly always has something to do with important physical quantities that were not allowed to change during the experiment.

b. What are the units associated with the constant of proportionality. Dimensional analysis using the units from the constant of proportionality will help you decide what the slope represents. The units will also help you decide which values of quantities that were held constant are important. Careful consideration of both will help you make a decision about what the slope of the graph must mean. Be careful not to overstate your certainty of the significance of the constant of proportionality. If you are very certain, say so. If you are speculating, make sure that your language indicates this as well.

If you have a good idea of the significance of the constant of proportionality, and the value that it represents is known, then make sure that you have calculated the relative error of your experiment in determining this quantity. Recount the error calculated and discuss whether or not you think this is a reasonable amount of error given the experiment you have performed.

20. Address your hypotheses. Where your hypotheses supported or refuted by your experiment? Explain how you could tell that your hypotheses were supported or refuted.

-----------------------

12.0s – 5.3s

k =

23.2m – 10.7m

k =

Relative Error =

Relative Error =

(t

(x

k =

(t

(x

k =

12.0s – 5.3s

23.2m – 10.7m

Relative Error =

Accepted Value

Absolute Error

Accepted Value

Absolute Error

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