Less than 89% of phone numbers in a certain city are unlisted. Express the null and alternative hypotheses in symbolic form for this claim (enter as a percentage). Ho:P H1:P Use the following codes to enter the following symbols: enter >= enter <= + enter != IVI

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**Title: Formulating Hypotheses in Statistics**

**Date: 11/15/2020**

**Platform: MyOpenMath**

**Topic: Expressing Null and Alternative Hypotheses**

**Scenario:**  
Less than 89% of phone numbers in a certain city are unlisted. We need to express the null and alternative hypotheses for this claim in symbolic form, using percentages.

- **Null Hypothesis (\(H_0\))**: \( p \) _____________
- **Alternative Hypothesis (\(H_1\))**: \( p \) _____________

**Instructions:**  
Use the following codes to enter the symbols:

- \( \ge \) enter >=  
- \( \le \) enter <=  
- \( \neq \) enter !=  

**Explanation:**  
In hypothesis testing, the null hypothesis (\(H_0\)) generally represents a statement of no effect or status quo, while the alternative hypothesis (\(H_1\)) represents a statement we seek evidence for. Here, you are tasked to determine whether less than 89% of phone numbers are unlisted, implying the use of a one-tailed test.

**Diagram Explanation:**  
The image does not contain any graphs or diagrams, but rather focuses on formulating a hypothesis for statistical testing based on a given percentage.
Transcribed Image Text:**Title: Formulating Hypotheses in Statistics** **Date: 11/15/2020** **Platform: MyOpenMath** **Topic: Expressing Null and Alternative Hypotheses** **Scenario:** Less than 89% of phone numbers in a certain city are unlisted. We need to express the null and alternative hypotheses for this claim in symbolic form, using percentages. - **Null Hypothesis (\(H_0\))**: \( p \) _____________ - **Alternative Hypothesis (\(H_1\))**: \( p \) _____________ **Instructions:** Use the following codes to enter the symbols: - \( \ge \) enter >= - \( \le \) enter <= - \( \neq \) enter != **Explanation:** In hypothesis testing, the null hypothesis (\(H_0\)) generally represents a statement of no effect or status quo, while the alternative hypothesis (\(H_1\)) represents a statement we seek evidence for. Here, you are tasked to determine whether less than 89% of phone numbers are unlisted, implying the use of a one-tailed test. **Diagram Explanation:** The image does not contain any graphs or diagrams, but rather focuses on formulating a hypothesis for statistical testing based on a given percentage.
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