Analyzing Student Admissions Data

The question asks us to identify two things based on the provided table: the college with the second lowest number of admitted students in the year 2016 and the college with the minimum number of admitted students in the year 2018.

Understanding the Data Table

The table shows the number of students admitted in three colleges (A, B, and C) over six years (2014 to 2019). We need to focus specifically on the data for 2016 and 2018.

Finding the Second Lowest Admissions in 2016

Let's look at the number of admitted students for each college in 2016:

• College A: 17000
• College B: 23000
• College C: 19000

To find the second lowest number, we arrange these numbers in ascending order (from smallest to largest):

$\text{17000 (College A)} < \text{19000 (College C)} < \text{23000 (College B)}$

The lowest number of admitted students in 2016 is 17000 (College A). The second lowest number of admitted students in 2016 is 19000, which corresponds to College C.

Finding the Minimum Admissions in 2018

Now, let's look at the number of admitted students for each college in 2018:

• College A: 22000
• College B: 26000
• College C: 24000

To find the minimum (lowest) number, we compare these values:

$\text{22000 (College A)}$, $\text{26000 (College B)}$, $\text{24000 (College C)}$

Comparing the numbers, the minimum number of admitted students in 2018 is 22000, which corresponds to College A.

Combining the Findings

The question asks for the college with the second lowest admissions in 2016 first, and then the college with the minimum admissions in 2018.

• Second lowest in 2016: College C
• Minimum in 2018: College A

Therefore, the answer is College C and College A.

Reviewing the Options

Let's check the given options:

1. College C and College B
2. College B and College A
3. College C and College A
4. College A and College B

Our finding, College C and College A, matches Option 3.

Revision Table: College Admissions Analysis

Additional Information: Data Interpretation Skills

This question requires basic data interpretation skills from a table. Here are some key skills involved:

• Reading Tables: Understanding how to locate specific data points based on row (Year) and column (College) headers.
• Comparison: Comparing numerical values to determine which is highest, lowest, second lowest, etc.
• Ordering Data: Arranging a set of numbers in ascending or descending order to identify ranks (like minimum, second lowest).
• Multiple Conditions: Answering a question that requires finding values based on conditions across different parts of the table (different years and colleges).

Practicing with different types of data tables helps improve these skills for quantitative aptitude sections in exams.