Do the same task as Step B but only for Instructors whose salary is greater than $50,000

To tackle the given task, we can break it down into clear steps. However, since the question is somewhat vague without specific context or data to work from, I will assume this involves filtering a dataset for instructors based on their salaries. Here's how to approach it:

1. ### Break Down the Problem

1. Identify the dataset that contains the instructors’ salary information.
2. Filter the dataset to include only those instructors whose salary is greater than $50,000.

2. ### Relevant Concepts

• Filtering Data: This involves using logical conditions to isolate specific entries in a dataset based on their attributes (in this case, the salary).

3. ### Analysis and Detail

• Suppose you have a dataset structured as follows:

  | Instructor Name | Salary   |
  |------------------|----------|
  | John Doe         | 55000    |
  | Jane Smith       | 48000    |
  | Alan Brown       | 62000    |
  | Emily White      | 47000    |
  

• Apply the filter to the dataset:

  • Check each instructor's salary.
  • Include only those with a salary greater than $50,000.

• The filtered dataset will look like:

  | Instructor Name | Salary   |
  |------------------|----------|
  | John Doe         | 55000    |
  | Alan Brown       | 62000    |
  

4. ### Verify and Summarize

• Ensure that the filtering was done correctly by checking each entry against the salary condition ($50,000).
• The filtered list shows two instructors meeting the salary criterion.

Final Answer

The instructors whose salary is greater than $50,000 are:

1. John Doe with a salary of $55,000.
2. Alan Brown with a salary of $62,000.