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The image contains a table showing the percentage of students in different fields of employment across several years at St. Tech University, followed by comprehension questions based on the data in the table.

Let me help you with the questions:

### 1. What is the total percentage of students in Software Development in 2018?

According to the table, the percentage for Software Development in 2018 is 42%.

### 2. Which employment percentage distribution of students who got employment in 2016 approximates the situation in 2018?

To find this, compare the distribution of percentages for 2016 and 2018:

- **Hardware:** 2016 (35%), 2018 (33%)
- **Software Development:** 2016 (40%), 2018 (42%)
- **Software Quality Assurance:** 2016 (25%), 2018 (25%)

Thus, the distribution in 2016 closely resembles that of 2018.

### 3. In 2021, students getting employment in Hardware earned more than those getting employment in Software Development by approximately how much?

From the table, the percentage of students employed in:
- **Hardware (2021):** 41%
- **Software Development (2021):** 36%

The difference is \(41\% - 36\% = 5\%\).

Would you like to go over more details or clarify any other information from the table?

Here are 5 related questions you might find useful:
1. What was the trend for Software Development employment from 2016 to 2021?
2. How does the employment in Hardware compare between 2017 and 2021?
3. What can you infer about the total number of students employed in 2020 from the percentages given?
4. If there were 100 students employed in 2019, how many would be employed in Software Quality Assurance?
5. What might explain the fluctuation in employment percentages in Software Quality Assurance over the years?

Tip: Always calculate percentage differences carefully to avoid small errors when interpreting data trends.

Which employment percentage distribution of students who got employment in 2016 approximates the situation in 2018?

Analyze the employment percentage distribution of students in 2016 and compare it to 2018. This problem involves calculating percentage differences and comparing fields like Hardware, Software Development, and Software Quality Assurance.

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