The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? H₁: p=0.76 H₁: p>0.76 Choose the correct answer below. OLeft-tailed OTwo-tailed Right-tailed E

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**Understanding Hypothesis Testing**

The null and alternative hypotheses are presented below. Your task is to determine whether the hypothesis test should be categorized as left-tailed, right-tailed, or two-tailed. Additionally, consider which parameter is being tested.

- **Null Hypothesis (\(H_0\))**: \(p = 0.76\)

- **Alternative Hypothesis (\(H_1\))**: \(p > 0.76\)

**Question: Choose the correct answer regarding the type of test:**

- ○ Left-tailed
- ○ Two-tailed
- ○ Right-tailed

**Analysis**: 

The null hypothesis states that the population parameter \(p\) is equal to 0.76. The alternative hypothesis, \(p > 0.76\), suggests that the parameter could be greater than 0.76. This indicates a **right-tailed test**, as it is concerned with detecting a value greater than a specific point.
Transcribed Image Text:**Understanding Hypothesis Testing** The null and alternative hypotheses are presented below. Your task is to determine whether the hypothesis test should be categorized as left-tailed, right-tailed, or two-tailed. Additionally, consider which parameter is being tested. - **Null Hypothesis (\(H_0\))**: \(p = 0.76\) - **Alternative Hypothesis (\(H_1\))**: \(p > 0.76\) **Question: Choose the correct answer regarding the type of test:** - ○ Left-tailed - ○ Two-tailed - ○ Right-tailed **Analysis**: The null hypothesis states that the population parameter \(p\) is equal to 0.76. The alternative hypothesis, \(p > 0.76\), suggests that the parameter could be greater than 0.76. This indicates a **right-tailed test**, as it is concerned with detecting a value greater than a specific point.
Expert Solution
Step 1: Determine the given information

The hypotheses are given as follows:

H0:p=0.76  versus  H1:p>0.76

The objective is to determine the nature of the hypothesis testing and the parameter of interest.

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