Use a normal approximation to find the probability of the indicated number of voters. In this case, assume that 139 eligible voters aged 18-24 are randomly selected. Suppose a previous study showed that among eligible voters aged 18-24, 22% of them voted. Probability that exactly 33 voted ..... The probability that exactly 33 of 139 eligible voters voted is. (Round to four decimal places as needed.)

MATLAB: An Introduction with Applications
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**Normal Approximation of Voter Probability**

To find the probability of a specific number of voters using a normal approximation, consider the following scenario: 

Assume you have 139 eligible voters aged 18-24 randomly selected. Based on a previous study, it was found that 22% of these voters participated in voting.

The task is to find the probability that exactly 33 of these voters voted.

---

**Probability Calculation**

The probability that exactly 33 out of 139 eligible voters voted is calculated as follows (rounded to four decimal places):

\[ \_\_\_\_\_\_\_ \]

Please enter the computed probability in the space provided.

---

The graph or diagram is not applicable in this scenario. However, if needed, plotting the distribution can help visualize the approximation process.
Transcribed Image Text:**Normal Approximation of Voter Probability** To find the probability of a specific number of voters using a normal approximation, consider the following scenario: Assume you have 139 eligible voters aged 18-24 randomly selected. Based on a previous study, it was found that 22% of these voters participated in voting. The task is to find the probability that exactly 33 of these voters voted. --- **Probability Calculation** The probability that exactly 33 out of 139 eligible voters voted is calculated as follows (rounded to four decimal places): \[ \_\_\_\_\_\_\_ \] Please enter the computed probability in the space provided. --- The graph or diagram is not applicable in this scenario. However, if needed, plotting the distribution can help visualize the approximation process.
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