## Stochastic Nature of Radiation Rich Text Content

include the histogram, the required analysis (mean, median, standard deviation, and full-width and half-maximum), and the answers to the questions.

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Mean: 2.1 | Median: 2 | Standard Deviation: 1.135

1) To subtract it from the later measurements. We can subtract it from the radiation data of the sample to know exactly what the values for that sample should be.
2) Everything that exists. Especially bananas.
3) Peak count: 4 | Mean: 2.1 | Median: 2 | Standard Deviation: 1.135
4) They are very close. We are using the standard deviation.
5) The graph shows a large concentration of data at the center with a smaller concentration as it moves away from ~225 counts.
6) "Normal distribution" because the shape is similar to that of a bell curve.
7) Because that is only the highest measurement recorded and the measurement fluctuates.
8) Yes, that is why the measured values are not all the same.
9) Half max is 4, full width at 4 is between ~201 to 240, being 39. This tell us where a majority of the data lies.
10) No. But the half-life is measurable.
11) Yes.
12) Yes.
13) No. The count rate should decrease over time, as the sample is steadily losing nuclei. The rate at which it loses them, and consequently the number of nuclei decayed over a period of time, depends on the half-life.
14) Yes. The count rate decreases as the sample loses nuclei.
15) Not necessarily. Some of the counts could have been the result of background radiation. This would produce greater count than is actually.
16) The greater the average the greater the standard deviation:

30s: avg 105.7 | standard deviation: 15.95

60s: avg 100 | standard deviation 11.15

2min: avg 123.92 | standard deviation 46.38

5min: avg 191.37 | standard deviation 68.59

10min: avg 210 | standard deviation 50.87

20min: avg 212.53 | standard deviation 37.84

30min: avg 213 | standard deviation 32.08

17) The number of counts would dramatically decrease because the emission of the particles is completely random.

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