Beerlab Ib Labsheet

International Baccalaureate Physics

4/PSOW

Comparing the density of beer and water IB Criteria Assessed

Aim: Calculating density is relatively easy, but to do so while correctly taking into account the limitations of your instruments is tougher. It is also good practice to use a graphical means of finding values such as density. To do this, you are going to take several measurements of density of water using: 1. A small graduated cylinder (analogue scale) 2. An balance (analogue scale)

Data Collection and Processing Conclusion and Evaluation

Criteria assessed

Aspect 1

2

3

Level awarded

D DCP CE

This data will be recorded (with correct uncertainty) and processed into a graph, which will then be used to find the density of water. This density will be compared against known values and used as a baseline to calculate the density of beer. Apparatus: 10 mL graduated cylinder Balance Beer Bottles Method: 1. Measure mass of empty beer bottle. 2. Use a small graduated cylinder to measure a known volume of water and calibrate empty beer bottle in 50ml steps to a final scale of 250 ml. 3. Use this bottle to calibrate full beer bottle. 4. Remove a small amount of beer from full beer bottle and measure mass and volume and record data. 5. Continue to remove beer from bottle several more times recording the mass and volume until you have sufficient data points. 6. Repeat steps 4 and 5 replacing beer with water. 7. Record all measurements in a suitable table. Be sure to show ± uncertainty at the top of each column. 8. Make appropriate graph and find density (w/ uncertainty) of water and beer from graph. Theory:

density =

mass volume

Density = ***** g cm-3± ** g cm-3 Density = ***** g cm-3± ** %

The above information was given to the student by the instructor. What follows immediately below is the student’s own work

© 2007 – R Reilly

6206318.doc

International Baccalaureate Physics

4/PSOW

Internal Assessment Marking Form Criteria

Design (D)

c=2

p=1

Conclusion and Evaluation (CE)

Data Collection and Processing (DCP)

n=0

c=2

p=1

n=0

c=2

p=1

n=0

© 2007 – R Reilly

Aspect 1

Aspect 2

Aspect 3

Defining the Problem and selecting variables: Formulates a focused problem/research question and identifies the relevant variables. Formulates a problem/research question that is incomplete or identifies only some relevant variables. Does not identify a problem/research question and does not identify any relevant variables.

Controlling the Variables: Designs a method for the effective control of the variables.

Developing a method for collecting data: Develops a method that allows for the collection of sufficient relevant data.

Designs a method that makes some attempt to control the variables.

Develops a method that allows for the collection of insufficient relevant data.

Designs a method that does not control the variables.

Develops a method that does not allow for any relevant data to be collected.

Recording raw data

Processing raw data

Presenting processed data

Records appropriate quantitative and associated qualitative raw data, including units and uncertainties where relevant. Records appropriate quantitative and associated qualitative raw data, but with some mistakes or omissions. Does not record any appropriate quantitative raw data or raw data is incomprehensible.

Processes the quantitative raw data correctly.

Presents processed data appropriately and, where relevant, includes errors and uncertainties.

Processes quantitative raw data, but with some mistakes and/or omissions.

Presents processed data appropriately, but with some mistakes and/or omissions.

No processing of quantitative raw data is carried outor major mistakes are made in processing.

Presents processed data inappropriately or incomprehensibly.

Concluding

Evaluating procedure(s)

States a conclusion, with justification, based on a reasonable interpretation of the data. States a conclusion based on a reasonable interpretation of the data.

Evaluates weaknesses and limitations.

Improving the investigation Suggests realistic improvements in respect of identified weaknesses and limitations. Suggests only superficial improvements.

States no conclusion or the conclusion is based on an unreasonable interpretation of the data.

Identifies some weaknesses and limitations, but the evaluation is weak or missing. Identifies irrelevant weaknesses and limitations.

Grade

Suggests unrealistic improvements.

6206318.doc