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To model the sample of radioactivity decay on material, using dice.

Extracts from this document...

Introduction

Tracy Jones 11SThursday 16th September

Science Coursework

Aim:

To model the sample of radioactivity decay on material, using dice.

Method:

To use 600 dice and roll them up to the decided throw number of 14. This is going to be used as an example to show how the decaying of radioactive material works.

Results:

...read more.

Middle

10

13

16

18

24

17

18

17.7

11

11

15

17

18

16

16

15.5

12

10

11

14

15

14

12

12.7

13

8

11

12

12

8

12

10.5

14

8

11

10

10

6

10

9.2

A graph has been drawn using all the average points. The points have been plotted and a curve of best fit has been drawn. A set of half-lifes have been added on.

Number order

Decay Remaining

1

100

2

83.3

3

69.4

4

57.8

5

47.4

6

39.5

7

32.9

8

27.4

9

22.8

10

19

11

15.8

12

13.2

13

11

14

9.1

15

7.6

A probability graph has been drawn using all the decay remaining points. The points have been plotted and a curve of best fit has been drawn. A set of half-lifes have been added on.

Conclusion

On my graphs I have drawn a set of half-lifes for each. A half-life is the time taken for half the mass of a radioactive isotope to decay. A half-life can also be calculated on a graph.

...read more.

Conclusion

Both sets of half-lifes are slightly different but there is not really much difference between there values. Both sets have the same average of 4.On the probability graph I have gone to the 15th, while on the other it only goes up to the 14th.

Things similar between them are:

  • The shape, they are both a curved shape because of the increasing reaction rate.
  • They both go along the y-axis at 50, 25 and 12.5. This is because the top y-axis number is 100.

Overall there weren’t many points that I could find different about the graphs. They are both based around the same shape and have similar half-lifes. They follow the same theory. The probability graph was a little more reliable because the curve went through all the points plotted, so the half-lifes were more accurate to read. The actual results graph was not as reliable because the curve line doesn’t go through all the points exactly, so the half-lifes may not be as accurate.

...read more.

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