Dependant variable: Similarly, there is no real dependant variable due to the fact that there is no independent variable.
Controlled Variables: Despite the fact that we cannot really identify any independent and dependant variables there are several variables that we should control. First of all, the drop height must be kept the same in all experiments and this can be done by using a rule to measure the height each time. Also the type of coins and the surface which the coins hit must be kept the same.
Apparatus needed:
- 32 one type of coins.
- 32 another type of coins
- Paper and pencil to record your data.
- A spreadsheet or graph paper to draw the graphs.
Method of experiment:
- Find a place where there is plenty of area so that the coins can bounce off freely. (Remember the surface must be kept the same).
- Drop the 32 coins of the one type (let’s call them parent coins) on a flat surface.
- Count and remove all of the parent coins which are head-side up- these have “decayed”,
- Replace the head-side up coins with the same number of the other type of coin ( let’s call them the daughter coins) you are using.
- Record the number of parent and daughter coins you have onto a chart and repeat the process until no parent coin is left.
Method of Collecting Data:
- In order to get accurate results do your experiment about three times and then do an average.
Data Collection and Processing
Data collection:
Tables showing the number of parent and daughter coins at each step (Trial 1)
Tables showing the number of parent and daughter coins at each step (Trial 2)
Tables showing the number of parent and daughter coins at each step (Trial 3)
Uncertainties haven’t been included in any of the tables due to the fact that there wasn’t anything we were measuring. We are only modeling an experiment here and we through coins. It either flips up or down so there is no uncertainty.
Data processing:
In order to understand the result more clearly we have taken averages of all the three trials. The averages were taken by adding each step to the three trials and dividing by three.
E.g. → Time step 2 for parent coins: (19+9+17)/3= 15.0
Tables showing the average number of parent and daughter coins at each step
Data presentation: Now in order to answer my research question it is vital that we draw a graph because if the graph illustrates an exponential decay curve then it would support my theory that you can in fact model radioactive decay but if it doesn’t illustrate an exponential curve then it wouldn’t support my theory.
Conclusion and Evaluation
Conclusion: In essence, the results support my theory that it is possible to model radioactive decay using coins. From the first graph we can clearly see that we have an exponential graph which is what radioactive decay is due to the fact that the rate of decay of a sample is directly proportional to the number of atoms in the sample. The other graph serves to illustrate that as the decay of the radioactive ‘parent’ nuclei occurs, there is an increase in the stable ‘daughter’ nuclei. Speaking about errors in this modeling exercise is very hard because this isn’t really an experiment. All we are really doing is throwing coins onto a flat surface and looking at the outcome i.e. the number of head-side up parent coins. Systematic errors couldn’t have occurred because we aren’t using any instruments to measure anything. The only random error that could have occurred would be us missing one of the head-side up coins and not removing it when we had to.
Evaluation: Again because this isn’t an experiment in which we have a definite independent variable and a dependant variable, there are no real weaknesses or limitations that occurred. The only weakness I can think of is that this modeling exercise relies a lot on chance. In other words, it just might have been so that not approximately half of the coins were taken of each time. It would have been a total mess if for example the first few tries only 1 coin is head-side up and then after let’s say the 5th try all of them come up as head-side up. That would totally mess all the results and wouldn’t support the theory of radioactivity. Other than that I cannot think of any weaknesses.
Improvements: Thinking of realistic improvement for this modeling exercise isn’t possible because it is a modeling exercise and not an experiment. However, it never hurts to take more trial – perhaps- 10 trials and then taking averages. This would give more accurate results but then again because this experiment relies too much on chance, doing 10 trials might make the results even worse. Another improvement can be is to use much more coins, for example a hundred coins. This gives a greater possibility to monitor radioactive decay.
I am sorry that I couldn’t do all experiments but as you know we- the chemists- also had to do chemistry investigations and therefore we didn’t have enough time to do all the experiments.