Use a = 0.05 to test for any significant differences in the mean price of a oneway airline ticket for the three travel agency websites. State the null and alternative hypotheses. O Ho: Not all the population means are equal. Ha: MAHB = MC O Ho: MAHB = μC Ha: HA MB MC O Ho: At least two of the population means are equal. H₂: At least two of the population means are different. Ho: MAHB = μC H₂: Not all the population means are equal. O HO HA MB MC # Ha: HA MB MC Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. O Do not reject Ho. There is not sufficient evidence to conclude that there is a difference in price among the three websites. O Do not reject Ho. There is sufficient evidence to conclude that there is a difference in price among the three websites. O Reject Ho. There is not sufficient evidence to conclude that there is a difference in price among the three websites. O Reject Ho. There is sufficient evidence to conclude that there is a difference in price among the three websites.

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**Title: Analyzing Airline Ticket Prices Across Different Travel Agency Websites**

**Introduction:**

Are there differences in airfare depending on which travel agency website you utilize? The following data were collected from travel agency websites on a certain day, showcasing the prices in U.S. dollars for a one-way ticket between specific city pairs. The city pairs act as blocks and the websites as treatments.

**Table: Flight Prices by Website**

| Flight From–To          | Website A ($) | Website B ($) | Website C ($) |
|-------------------------|---------------|---------------|---------------|
| Atlanta to Seattle      | 175.50        | 166.00        | 176.30        |
| New York to Los Angeles | 194.50        | 195.00        | 206.70        |
| Cleveland to Orlando    | 76.50         | 72.00         | 76.71         |
| Dallas to Indianapolis  | 148.50        | 149.00        | 148.70        |

**Statistical Analysis:**

Use a significance level of \( \alpha = 0.05 \) to test for any significant differences in the mean price of a one-way airline ticket across the three travel agency websites.

**Hypotheses:**

- **Option 1:**
  - \( H_0 \): Not all the population means are equal.
  - \( H_a \): \( \mu_A = \mu_B = \mu_C \)

- **Option 2:**
  - \( H_0 \): \( \mu_A = \mu_B = \mu_C \)
  - \( H_a \): \( \mu_A \neq \mu_B \neq \mu_C \)

- **Option 3:**
  - \( H_0 \): At least two of the population means are equal.
  - \( H_a \): At least two of the population means are different.

- **Option 4:**
  - \( H_0 \): \( \mu_A = \mu_B = \mu_C \)
  - \( H_a \): Not all the population means are equal.

- **Option 5:**
  - \( H_0 \): \( \mu_A \neq \mu_B \neq \mu_C \)
  - \( H_a \): \( \mu_A = \mu_B = \mu_C \)

**Conclusion
Transcribed Image Text:**Title: Analyzing Airline Ticket Prices Across Different Travel Agency Websites** **Introduction:** Are there differences in airfare depending on which travel agency website you utilize? The following data were collected from travel agency websites on a certain day, showcasing the prices in U.S. dollars for a one-way ticket between specific city pairs. The city pairs act as blocks and the websites as treatments. **Table: Flight Prices by Website** | Flight From–To | Website A ($) | Website B ($) | Website C ($) | |-------------------------|---------------|---------------|---------------| | Atlanta to Seattle | 175.50 | 166.00 | 176.30 | | New York to Los Angeles | 194.50 | 195.00 | 206.70 | | Cleveland to Orlando | 76.50 | 72.00 | 76.71 | | Dallas to Indianapolis | 148.50 | 149.00 | 148.70 | **Statistical Analysis:** Use a significance level of \( \alpha = 0.05 \) to test for any significant differences in the mean price of a one-way airline ticket across the three travel agency websites. **Hypotheses:** - **Option 1:** - \( H_0 \): Not all the population means are equal. - \( H_a \): \( \mu_A = \mu_B = \mu_C \) - **Option 2:** - \( H_0 \): \( \mu_A = \mu_B = \mu_C \) - \( H_a \): \( \mu_A \neq \mu_B \neq \mu_C \) - **Option 3:** - \( H_0 \): At least two of the population means are equal. - \( H_a \): At least two of the population means are different. - **Option 4:** - \( H_0 \): \( \mu_A = \mu_B = \mu_C \) - \( H_a \): Not all the population means are equal. - **Option 5:** - \( H_0 \): \( \mu_A \neq \mu_B \neq \mu_C \) - \( H_a \): \( \mu_A = \mu_B = \mu_C \) **Conclusion
Use \( \alpha = 0.05 \) to test for any significant differences in the mean price of a oneway airline ticket for the three travel agency websites.

State the null and alternative hypotheses.

- \( H_0: \) Not all the population means are equal.
  \( H_a: \ \mu_A = \mu_B = \mu_C \)

- \( H_0: \ \mu_A = \mu_B = \mu_C \)
  \( H_a: \ \mu_A \neq \mu_B \neq \mu_C \)

- \( H_0: \) At least two of the population means are equal.
  \( H_a: \) At least two of the population means are different.

- \( H_0: \ \mu_A = \mu_B = \mu_C \)
  \( H_a: \) Not all the population means are equal.

- \( H_0: \ \mu_A \neq \mu_B \neq \mu_C \)
  \( H_a: \ \mu_A = \mu_B = \mu_C \)

Find the value of the test statistic. (Round your answer to two decimal places.)

\[ \text{Value: } \]

Find the \( p \)-value. (Round your answer to three decimal places.)

\[ p\text{-value: } \]

State your conclusion.

- \( \circ \) Do not reject \( H_0 \). There is not sufficient evidence to conclude that there is a difference in price among the three websites.

- \( \circ \) Do not reject \( H_0 \). There is sufficient evidence to conclude that there is a difference in price among the three websites.

- \( \circ \) Reject \( H_0 \). There is not sufficient evidence to conclude that there is a difference in price among the three websites.

- \( \circ \) Reject \( H_0 \). There is sufficient evidence to conclude that there is a difference in price among the three websites.
Transcribed Image Text:Use \( \alpha = 0.05 \) to test for any significant differences in the mean price of a oneway airline ticket for the three travel agency websites. State the null and alternative hypotheses. - \( H_0: \) Not all the population means are equal. \( H_a: \ \mu_A = \mu_B = \mu_C \) - \( H_0: \ \mu_A = \mu_B = \mu_C \) \( H_a: \ \mu_A \neq \mu_B \neq \mu_C \) - \( H_0: \) At least two of the population means are equal. \( H_a: \) At least two of the population means are different. - \( H_0: \ \mu_A = \mu_B = \mu_C \) \( H_a: \) Not all the population means are equal. - \( H_0: \ \mu_A \neq \mu_B \neq \mu_C \) \( H_a: \ \mu_A = \mu_B = \mu_C \) Find the value of the test statistic. (Round your answer to two decimal places.) \[ \text{Value: } \] Find the \( p \)-value. (Round your answer to three decimal places.) \[ p\text{-value: } \] State your conclusion. - \( \circ \) Do not reject \( H_0 \). There is not sufficient evidence to conclude that there is a difference in price among the three websites. - \( \circ \) Do not reject \( H_0 \). There is sufficient evidence to conclude that there is a difference in price among the three websites. - \( \circ \) Reject \( H_0 \). There is not sufficient evidence to conclude that there is a difference in price among the three websites. - \( \circ \) Reject \( H_0 \). There is sufficient evidence to conclude that there is a difference in price among the three websites.
Expert Solution
Step 1

Given Information:

Consider the given dataset:

  Websites
  A B C
Atlanta to seattle 175.5 166 176.3
New York to Los Angeles 194.5 195 206.7
Cleveland to Orlando 76.5 72 76.71
Dallas to Indianapolis 148.5 149 148.7

 

 

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