b. What is the value of the test statistic (to 2 decimals) What is the p-value for the hypothesis test (to 4 decimals)? Using a = .05, what is your conclusion? Conclude there is a salary difference between the two professions c. What are the sample median annual salaries for the two professions (to 2 decimals)? Public Accountant Median %24 in thousands 55.65 Financial Planner Median $ 51.85 in thousands
b. What is the value of the test statistic (to 2 decimals) What is the p-value for the hypothesis test (to 4 decimals)? Using a = .05, what is your conclusion? Conclude there is a salary difference between the two professions c. What are the sample median annual salaries for the two professions (to 2 decimals)? Public Accountant Median %24 in thousands 55.65 Financial Planner Median $ 51.85 in thousands
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
Transcribed Image Text:### Starting Annual Salaries for Public Accounting and Financial Planning Professions
**Data Overview:**
The table below shows samples of starting annual salaries for individuals entering the public accounting and financial planning professions. Annual salaries are presented in thousands of dollars.
| Public Accountant | Financial Planner |
|-------------------|-------------------|
| 50.2 | 49.0 |
| 58.8 | 49.2 |
| 56.6 | 53.1 |
| 58.2 | 55.9 |
| 54.2 | 51.9 |
| 55.0 | 53.6 |
| 50.9 | 49.7 |
| 59.5 | 53.9 |
| 57.2 | 51.5 |
| 51.9 | 48.9 |
**Statistical Analysis:**
**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.
1. **Calculate the Mean and Standard Deviation:**
- Enter the mean and standard deviation of the normal distribution that can be used for this statistical test, to two decimal places if necessary.
- Mean: $ __________ in thousands
- Standard deviation: $ __________ in thousands
2. **Sum of the Ranks:**
- What is the sum of the ranks for public accountants (to 1 decimal)?
- Sum of ranks: __________
This data can be used to analyze whether there is a statistical difference between the starting salaries of the two professions.

Transcribed Image Text:The image contains a series of questions and input fields related to a hypothesis test comparing median annual salaries between two professions: public accountants and financial planners. Here's a detailed transcription and explanation:
---
b. **What is the value of the test statistic (to 2 decimals)?**
Input field (left blank, marked with a red X indicating an error or incomplete input)
**What is the p-value for the hypothesis test (to 4 decimals)?**
Input field (left blank, marked with a red X)
**Using α = .05, what is your conclusion?**
Dropdown menu selected option: "Conclude there is a salary difference between the two professions." (marked with a green check indicating correctness)
c. **What are the sample median annual salaries for the two professions (to 2 decimals)?**
- **Public Accountant Median**
- $ 55.65 (in thousands, marked with a red X)
- **Financial Planner Median**
- $ 51.85 (in thousands, marked with a red X)
---
The inputs appear to be part of a task to test the understanding or application of hypothesis testing. The test seeks to determine if there is a significant salary difference between public accountants and financial planners using a significance level (α) of 0.05. The conclusion reached indicates a significant difference based on the selected alpha level.
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