Calorimetry quantifying sources of error

In summary, the conversation discusses sources of error and how to quantify them in a calorimetry experiment to determine the specific heat of a metal. The speaker suggests making educated guesses and using a model for heat loss to estimate the systematic error, and mentions that statistical errors can also be quantified. The importance of considering the overall error in the experiment is emphasized.
  • #1
slaw155
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Homework Statement


I am conducting an experiment to determine the specific heat of a certain metal using a typical calorimetry experiment (using a polystyrene cup). I have been asked to list sources of error and
quantify them in relation to the total error in the experiment - I have thought up some errors, but have no idea on how to quantify them?


Homework Equations



Irrelevant

The Attempt at a Solution



For example one source of error may be that there is not enough insulation so there is some heat loss. How can I possibly quantify this?
 
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  • #2
You will have to make educated guesses, using your understanding of physics.

Start by classifying the error - i.e. lack of insulation would introduce a systematic error.
If your calculation assumed all the heat went to the sample, then that will bias your final number either high or low. You may have a model for heat loss which will help you narrow it down.

They key is that you only need to quantify the error "in relation to the total error in the experiment", you don't need an exact number.

So do you have reason to believe that the systematic error introduced makes up a large or small proportion of the overall error?

You will have better luck quantifying statistical errors - there is one for each measurement you use.

Are the systematic errors you have identified large or small compared with the overall statistical error?
(I suspect the author means the overall statistical error when talking about the total error.)
 

Related to Calorimetry quantifying sources of error

1. What is calorimetry and how is it used to quantify sources of error?

Calorimetry is a scientific technique used to measure the amount of heat released or absorbed by a chemical reaction or physical process. It is used to quantify sources of error by measuring the difference in heat energy between the actual value and the measured value.

2. What are the common sources of error in calorimetry?

The most common sources of error in calorimetry include heat loss to the surroundings, incomplete reactions, and human error in measurement and calculation. Other sources may include non-ideal conditions, such as variations in temperature or pressure.

3. How do you calculate the sources of error in calorimetry?

To calculate the sources of error in calorimetry, you must first determine the expected value of heat energy for the reaction or process. Then, you can compare this value to the measured value and calculate the percentage difference. This difference represents the sources of error in the experiment.

4. How can sources of error be minimized in calorimetry experiments?

To minimize sources of error in calorimetry experiments, it is important to control the experimental conditions and ensure that all measurements are as accurate as possible. This can be achieved by using precise instruments, conducting the experiment in a controlled environment, and repeating the experiment multiple times to reduce random errors.

5. What are the limitations of using calorimetry to quantify sources of error?

One limitation of using calorimetry to quantify sources of error is that it only measures the heat energy involved in a reaction or process, and does not take into account other factors such as mass or volume. Additionally, some sources of error, such as human error, may be difficult to quantify using calorimetry alone.

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