DS

- Construct
- Equations
- Numeric logic
**Percentages**CAT test writers use data sufficiency questions to test your ability to "reason quantitatively." This stands in sharp contrast to the problem solving section, which is designed to test how well you manipulate numbers. If you find yourself doing a lot of number crunching on the data sufficiency questions, you are doing something wrong. Math Concepts You Should Know The data sufficiency questions cover math that nearly any college-bound high school student will know. In addition to basic arithmetic, you can expect questions testing your knowledge of averages, fractions, decimals, algebra, factoring, and basic principles of geometry such as triangles, circles, and how to determine the areas and volumes of simple geometric shapes. The Answer Choices CAT data sufficiency questions will all have the exact same answer choices. Memorize these answer choices before you take the exam. It will help you better utilize your time in the quantitative section. The answer choices are summarized below as you will see them on the CAT exam.

Statement 1 alone is sufficient but statement 2 alone is not sufficient to answer the question asked. Statement 2 alone is sufficient but statement 1 alone is not sufficient to answer the question asked. Both statements 1 and 2 together are sufficient to answer the question but neither statement is sufficient alone. Each statement alone is sufficient to answer the question. Statements 1 and 2 are not sufficient to answer the question asked and additional data is needed to answer the statements.##### Use Process of Elimination

If statement 1 is insufficient, then choices A and D can immediately be eliminated. Similarly, if statement 2 is insufficient, then choices B and D can immediately be eliminated. If either statement 1 or 2 is sufficient on its own, then choices C and E can be eliminated. A Simple 4 Step Process for Answering These Questions Many test takers make the mistake of not arming themselves with a systematic method for analyzing the answer choices for these questions. Overlooking even one step in the process outlined below can make a big difference in the final quantitative score you will be reporting to your selected business schools.- Study the questions carefully. The questions generally ask for one of 3 things: 1) a specific value, 2) a range of numbers, or 3) a true/false value. Make sure you know what the question is asking. 2.) Determine what information is needed to solve the problem. This will, obviously, vary depending on what type of question is being asked. For example, to determine the area of a circle, you need to know the circle's diameter, radius, or circumference. Whether or not statements 1 and/or 2 provide that information will determine which answer you choose for a data sufficiency question about the area of a circle. 3.) Look at each of the two statements independently of the other. Follow the process of elimination rules covered above to consider each statement individually. 4.) If step 3 did not produce an answer, then combine the two statements. If the two statements combined can answer the question, then the answer choice is C. Otherwise, E.