Is the Calculated Density of the Steel Ball Correct?

In summary, the steel ball has an estimated density of 9880kg/m^3. Its weight was found to be 16.1 grams (.0161Kg) with the scales having an accuracy of +- .1g (.0001Kg). To measure the diameter, we had to use a ruler. It was decided that the balls diameter was 1.45cm (.0145m) with an error of .0005m. From that, we found the radius to be .0073m +- .0003m. Now, knowing that P(density) = M(mass)/V(volume), and that V = (4/3)(Pi)(r^3), we could
  • #1
Cummings
53
0
I was given a small steel ball and asked to find its density.
To do this we weighed the ball and measured its diameter.

Its weight was found to be 16.1 grams (.0161Kg) with the scales having an accuracy of +- .1g (.0001Kg)

To measure the diameter we had to use a ruler. It was decided that the balls diameter was 1.45cm (.0145m)
We were then asked to estimate the error in our measurement of the diameter. We decided this would be .0005m

From that we found the radius to be .0073m +- .0003m

Now, knowing that P(density) = M(mass)/V(volume) and that V = (4/3)(Pi)(r^3) we could find P

P = .0161/((4/3)(Pi)(.0073^3)) = 9880 Kg/m^3

If our measurments were reasonably correct is that a right answer? We were told it should be between 6000-8000Kg/m^3

now, the next part required us to find the uncertenty in the density. the uncertenty of the mass was .0001kg, but how could i find the uncertenty of V given the uncertenty of R is .0003?
 
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  • #2
Since you have a measure of the uncertainty of the mass and of the radius and you know how that uncertainty propagates to the volume (via the formula for volume), you can derive a measure of the uncertainty of the density.

A good estimate of the propagation of an uncertainty is given by the following:

say you have some function q(x1, x2) that you want to find the uncertainty propagation for (you can extend this to however many variables you need).

[tex] \delta q = \sqrt{\left(\frac{\partial q}{\partial x_1}\delta x_1\right)^2+\left(\frac{\partial q}{\partial x_2}\delta x_2\right)^2} [/tex]

There are general rules you can follow by identifying function forms instead of deriving it like that, but that's the way I recommend (but, hey, what do I know?).

Try substituting
[tex] q = \rho = \frac{3m}{3\pi r^3} [/tex]
and x1 = m and x2 = r

and calculate what your uncertainty will be. Then see if this accounts for the difference you see between your measured density and your expected density. If it doesn't, maybe you're estimated uncertainties need rethinking. Let us know how it goes.
 
  • #3
If your density is a little high, it's probably because your measurements were a little off.

Some things I noticed, though:

Why'd you reduce the error in measurement of the radius from .0005m to .0003m? Multiplication by a pure ratio of 1 to 2 shouldn't change the accuracy.

As for the error in the volume, a little calculus suggests using this:

[tex]V = \frac{4}{3}\pi r^3[/tex]
[tex]\frac{dV}{dr} = 4\pi r^2[/tex]
[tex]dV = 4\pi r^2 dr[/tex]
[tex]\Delta V = 4\pi r^2 \Delta r[/tex]

I'm no scientist (yet), but that's what I'd use. Unless I heard something better from an educated person, of course.

cookiemonster
 
  • #4
Uncertain whether you have learned calculus, so i would just suggest that you calculate the smallest possible density from the data then the largest possible. Then you could give a range, or halve the range and express the result like this:

plus-minus 8
 

FAQ: Is the Calculated Density of the Steel Ball Correct?

What is experimental uncertainty?

Experimental uncertainty, also known as measurement uncertainty, is the range of values that an experimental measurement could potentially vary within due to limitations in the measurement method or equipment.

How is experimental uncertainty calculated?

Experimental uncertainty is typically calculated by taking the standard deviation of a series of repeated measurements and dividing it by the square root of the number of measurements. This gives the standard error, which is a measure of the precision of the measurement.

Why is it important to consider experimental uncertainty?

Considering experimental uncertainty is important because it allows scientists to understand the limitations of their measurements and the potential sources of error. This helps to ensure that the results of an experiment are accurate and reliable.

How can experimental uncertainty be reduced?

Experimental uncertainty can be reduced by using more precise measurement equipment, increasing the number of repeated measurements, and carefully controlling the variables in the experiment. It is also important to identify and minimize any potential sources of error.

How does experimental uncertainty impact the interpretation of results?

The presence of experimental uncertainty means that the results of an experiment are not exact, but rather fall within a range of values. This should be considered when interpreting the results and drawing conclusions. It is important to report both the measured value and the experimental uncertainty to provide a complete understanding of the data.

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