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Radioactive Dice Functions & Modeling Name: Date: onsider a large number of standard, 6-sided dice that decay and are removed from the group when they land on 6. Lets model this behavior mathematically. 1. What fraction of the original number of dice would you expect to remain after the first roll? 3. How many dice would you expect to remain after the second roll? (HINT: These dice survived the first and second roll.) 4. How many dice would you expect to remain after the r th roll? Design an equation that relates the remaining number of dice to the original number of dice and the number of rolls that have occurred. 2. How many dice would you expect to remain after the first roll? (HINT: You’ll have to leave this in terms of a variable) Variables N 0 - the original number of dice N(r) - number of dice remaining after r rolls. r - the number of rolls that have taken place Operations Log x y = z the logarithm x z = y exponentiation a·b = c multiplication c b = a division Building Blocks Construct your answers out of numbers and the variables and operations found in the boxes below. You may use them any number of times. 5. Graph the general shape of your equation from #4 on the plot below. Feel free to refer to a graphing calculator or app. (0, N 0 ) N r (0, 0) (0, N 0 ) N r (0, 0) For example, if your equation were N(r) = N 0 - r, you might draw this: 8. How many rolls would it take to reach 50% of the original number of dice? Feel free to use a calculator. It’s okay if your answer is not a whole number. This is the theoretical half-life of 6-sided dice! 6. What fraction of the original number of dice would you expect to remain after the r th roll? Modify your equation from #4 into one that relates the fraction of original dice remaining to the number of rolls that have occurred. 7. Solve this modified equation for r. When the equation from #6 is solved for r, the result will allow you to figure out how many rolls it would take to “decay” to a certain fraction of the original population. Use the back of this sheet, if necessary.

Radioactive Dice - Functions and Modeling

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Page 1: Radioactive Dice - Functions and Modeling

Radioactive DiceFunctions & Modeling

Name:Date:

90%

100%

Orig

inal

238 U

Ato

ms R

emai

ning 80%

70%

60%

50%

40%

30%

20%

10%

0%

Sample Age (Ga)

The Theoretical Decay of 238U Over Time

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Consider a large number of standard, 6-sided dice that “decay” and are removed from the group when they land on 6.Let’s model this behavior mathematically.

1. What fraction of the original number of dice would you expect to remain after the first roll?

3. How many dice would you expect to remain after the second roll? (HINT: These dice survived the first and second roll.)

4. How many dice would you expect to remain after the rth roll? Design an equation that relates the remaining number of dice to the original number of dice and the number of rolls that have occurred.

2. How many dice would you expect to remain after the first roll?(HINT: You’ll have to leave this in terms of a variable) Variables

N0 - the original

number of diceN(r) - number

of dice remaining

after r rolls.r - the number of rolls that have taken place

Operations

Logxy = zthe logarithm

xz = yexponentiation

a·b = c multiplication

cb

= a

division

Building BlocksConstruct your answers out of numbers and the variables and operations found in the boxes below.You may use them any number of times.

5. Graph the general shape of your equation from #4 on the plot below. Feel free to refer to a graphing calculator or app.

(0, N0)N

r(0, 0)

(0, N0)N

r(0, 0)

For example, if your equation wereN(r) = N0 - r, you might draw this:

8. How many rolls would it take to reach 50% of the original number of dice? Feel free to use a calculator. It’s okay if your answer is not a whole number. This is the theoretical half-life of 6-sided dice!

6. What fraction of the original number of dice would you expect to remain after the rth roll? Modify your equation from #4 into one that relates the fraction of original dice remaining to the number of rolls that have occurred.

7. Solve this modified equation for r. When the equation from #6 is solved for r, the result will allow you to figure out how many rolls it would take to “decay” to a certain fraction of the original population. Use the back of this sheet, if necessary.

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