The second slide is the first part of the question and the first slide is the second part of the question. **Use a 0.05 level of significance and test the hypothesis that there is no difference between the starting annual salaries.****State the null and alternative hypotheses:**- \( H_0 \): The two populations of salaries are identical.- \( H_1 \): The two populations of salaries are not identical.1) \( H_0 \): Median salary for public accountants = median salary for financial planners. \( H_1 \): Median salary for public accountants \(\neq\) median salary for financial planners.2) \( H_0 \): Median salary for public accountants - median salary for financial planners = 0. \( H_1 \): Median salary for public accountants - median salary for financial planners \(\neq\) 0.3) \( H_0 \): Median salary for public accountants - median salary for financial planners \(\leq\) 0. \( H_1 \): Median salary for public accountants - median salary for financial planners > 0.4) \( H_0 \): Median salary for public accountants - median salary for financial planners \(\geq\) 0. \( H_1 \): Median salary for public accountants - median salary for financial planners < 0.**Find the value of the test statistic:**---**Table: Starting Annual Salaries**| **Public Accountant** | **Financial Planner** ||-----------------------|-----------------------|| 50.9 | 48.9 || 56.0 | 51.8 || 60.5 | 51.9 || 55.0 | 48.7 || 57.2 | 52.6 || 55.2 | 50.9 || 58.2 | 49.2 || | 52.1 || | 48.0 |The table displays the starting annual salaries of public accountants and financial planners. Each column represents the salaries for one group, indicating a comparison of salary distributions for hypothesis testing. ### Hypothesis Testing for Salary Differences**Objective:** Use a 0.05 level of significance to test the hypothesis that there is no difference between the starting annual salaries of public accountants and financial planners.#### Step 1: State the Null and Alternative Hypotheses- **Option 1:** - \( H_0 \): The two populations of salaries are identical. - \( H_a \): The two populations of salaries are not identical.- **Option 2:** - \( H_0 \): Median salary for public accountants = Median salary for financial planners. - \( H_a \): Median salary for public accountants ≠ Median salary for financial planners.- **Option 3:** - \( H_0 \): Median salary for public accountants ≤ Median salary for financial planners. - \( H_a \): Median salary for public accountants > Median salary for financial planners.- **Option 4:** - \( H_0 \): Median salary for public accountants ≥ Median salary for financial planners. - \( H_a \): Median salary for public accountants < Median salary for financial planners.#### Step 2: Conduct the Test**Find the value of the test statistic:**- \( W = \) [Enter value]**Find the p-value (Round your answer to four decimal places):**- p-value = [Enter value]#### Step 3: Make a Conclusion**What is your conclusion?**- Reject \( H_0 \): There is sufficient evidence to conclude that there is a significant difference between the starting annual salaries of public accountants and financial planners.- Do not reject \( H_0 \): There is not sufficient evidence to conclude that there is a significant difference between the starting annual salaries of public accountants and financial planners.Use this guide to complete your hypothesis test for comparing salaries. Ensure you enter the values for the test statistic and p-value to proceed with the analytical decision.

Name: The second slide is the first part of the question and the first slide
Uploaded: 2024-03-05T11:53:49.000Z
Channel: Bartleby
Description: The second slide is the first part of the question and the first slide is the second part of the question. **Use a 0.05 level of significance and test the hypothesis that there is no difference between the starting annual salaries.****State the null