To develop a probability model based on Jorelle's observed frequencies for the letters C, A, R, E, and S, we first need to convert the frequencies into probabilities.
The total number of picks was 100. The formula to calculate the probability for each letter is:
\[ P(X) = \frac{\text{Frequency of } X}{\text{Total Frequency}} \]
Using the provided frequencies:
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For C: \[ P(C) = \frac{20}{100} = 0.20 \]
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For A: \[ P(A) = \frac{25}{100} = 0.25 \]
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For R: \[ P(R) = \frac{30}{100} = 0.30 \]
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For E: \[ P(E) = \frac{10}{100} = 0.10 \]
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For S: \[ P(S) = \frac{15}{100} = 0.15 \]
Now, we can organize this information into a probability model:
| Outcomes | C | A | R | E | S | |----------|-------|-------|-------|-------|-------| | P(X) | 0.20 | 0.25 | 0.30 | 0.10 | 0.15 |
Therefore, the correct probability model based on the observed results is:
X C A R E S
P(X) 0.20 0.25 0.30 0.10 0.15
This corresponds with the option that states:
X C A R E S P(X) 0.20 0.25 0.30 0.10 0.15