The proportion of residents in Phoenix favoring the building of toll roads to complete the freeway system is believed to be p= 0.3. If a random sample of 10 residents shows 1 or fewer favor this proposal, we will conclude that p< 0.3. 1. Find the probability of type I error if the true proportion is p= 0.3. 2. Find the probability of committing a type II error with this procedure is p= 0.3. 3. What is the power this procedure if the true proportion is p= 0.2? %3D

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**Problem Statement: Analyzing Proportional Support in Phoenix**

The proportion of residents in Phoenix favoring the building of toll roads to complete the freeway system is believed to be \( \rho = 0.3 \). If a random sample of 10 residents shows 1 or fewer favor this proposal, we will conclude that \( \rho < 0.3 \).

1. **Find the probability of Type I error if the true proportion is \( \rho = 0.3 \).**
   
2. **Find the probability of committing a Type II error with this procedure if \( \rho = 0.3 \).**

3. **What is the power of this procedure if the true proportion is \( \rho = 0.2 \)?**

**Explanation of Concepts:**

- **Type I Error:** Occurs when the null hypothesis is rejected when it is actually true. Calculating this probability helps understand the risk of making a false positive conclusion.

- **Type II Error:** Involves failing to reject the null hypothesis when it is false. This indicates a false negative result, suggesting the procedure’s inability to detect an actual effect.

- **Power of a Test:** Represents the probability that the test correctly rejects a false null hypothesis. Power is 1 minus the probability of a Type II error, showing the effectiveness of the test in identifying true effects.
Transcribed Image Text:**Problem Statement: Analyzing Proportional Support in Phoenix** The proportion of residents in Phoenix favoring the building of toll roads to complete the freeway system is believed to be \( \rho = 0.3 \). If a random sample of 10 residents shows 1 or fewer favor this proposal, we will conclude that \( \rho < 0.3 \). 1. **Find the probability of Type I error if the true proportion is \( \rho = 0.3 \).** 2. **Find the probability of committing a Type II error with this procedure if \( \rho = 0.3 \).** 3. **What is the power of this procedure if the true proportion is \( \rho = 0.2 \)?** **Explanation of Concepts:** - **Type I Error:** Occurs when the null hypothesis is rejected when it is actually true. Calculating this probability helps understand the risk of making a false positive conclusion. - **Type II Error:** Involves failing to reject the null hypothesis when it is false. This indicates a false negative result, suggesting the procedure’s inability to detect an actual effect. - **Power of a Test:** Represents the probability that the test correctly rejects a false null hypothesis. Power is 1 minus the probability of a Type II error, showing the effectiveness of the test in identifying true effects.
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