A hypothesis test Is to be performed. Determine the null and alternate hypotheses. In 1994, the average duration of long-distance telephone calls originating in one town was 7.1 minutes. A long-distance telephone company wants to perform a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1994 mean of 7.1 minutes.

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### Hypothesis Testing: Null and Alternative Hypotheses

**Scenario:**
In 1994, the average duration of long-distance telephone calls originating in one town was 7.1 minutes. A long-distance telephone company wants to conduct a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1994 mean of 7.1 minutes.

**Objective:**
Determine the null and alternate hypotheses for this scenario.

**Possible Choices:**
1. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu > 7.1 \) minutes
2. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu < 7.1 \) minutes
3. \( H_0: \mu \neq 7.1 \) minutes, \( H_1: \mu = 7.1 \) minutes
4. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu \neq 7.1 \) minutes
5. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu < 7.1 \) minutes

**Graphical Representation:**

The given image presents a multiple-choice format where different hypothesis pairs are listed, with each pair consisting of a null hypothesis (\(H_0\)) and an alternate hypothesis (\(H_1\)).

**Explanation of Setup:**

- **Null Hypothesis (\(H_0\))**: Represents the status quo or the hypothesis that indicates no effect or no change. Here, it suggests that the average duration of the phone calls is still 7.1 minutes.
- **Alternate Hypothesis (\(H_1\))**: Represents a change or an effect. This could either indicate that the average duration has increased, decreased, or simply changed in either direction.

**Choose the Correct Pair:**
For a two-tailed hypothesis test, where we are interested in any change from the historical mean (both increases and decreases),
we use:
- \( H_0: \mu = 7.1 \) minutes
- \( H_1: \mu \neq 7.1 \) minutes

Hence, the fourth option listed in the multiple-choice setup should be selected.

**Instructions:
Transcribed Image Text:### Hypothesis Testing: Null and Alternative Hypotheses **Scenario:** In 1994, the average duration of long-distance telephone calls originating in one town was 7.1 minutes. A long-distance telephone company wants to conduct a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1994 mean of 7.1 minutes. **Objective:** Determine the null and alternate hypotheses for this scenario. **Possible Choices:** 1. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu > 7.1 \) minutes 2. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu < 7.1 \) minutes 3. \( H_0: \mu \neq 7.1 \) minutes, \( H_1: \mu = 7.1 \) minutes 4. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu \neq 7.1 \) minutes 5. \( H_0: \mu = 7.1 \) minutes, \( H_1: \mu < 7.1 \) minutes **Graphical Representation:** The given image presents a multiple-choice format where different hypothesis pairs are listed, with each pair consisting of a null hypothesis (\(H_0\)) and an alternate hypothesis (\(H_1\)). **Explanation of Setup:** - **Null Hypothesis (\(H_0\))**: Represents the status quo or the hypothesis that indicates no effect or no change. Here, it suggests that the average duration of the phone calls is still 7.1 minutes. - **Alternate Hypothesis (\(H_1\))**: Represents a change or an effect. This could either indicate that the average duration has increased, decreased, or simply changed in either direction. **Choose the Correct Pair:** For a two-tailed hypothesis test, where we are interested in any change from the historical mean (both increases and decreases), we use: - \( H_0: \mu = 7.1 \) minutes - \( H_1: \mu \neq 7.1 \) minutes Hence, the fourth option listed in the multiple-choice setup should be selected. **Instructions:
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