# Test Format & Components -

the Psychometric Entrance Test

## Quantitative Reasoning

The Quantitative Reasoning domain tests the ability to use numbers and mathematical concepts and methods to solve quantitative problems. The domain also covers the analytical skills needed to analyze data presented in a variety of ways, such as in table or graph form. For the most part the Quantitative Reasoning questions do not test the speed with which calculations are done, but rather the ability to comprehend mathematical problems and use mathematical tools to solve them.

The mathematical knowledge required in the Quantitative Reasoning sections is comparable to that required for the high school matriculation (Bagrut) math exam at the minimum level (3 units). Admission to university in Israel is contingent on a complete Bagrut certificate, so it can be assumed that Psychometric test examinees are familiar with the kind of material that appears in the Quantitative Reasoning sections.

Quantitative Reasoning questions deal with a wide variety of topics, such as percentages, exponents and roots, properties of numbers, inequalities, factors, arithmetic operations using integers and fractions, equations, abbreviated multiplication formulas, number lines, coordinate systems, combinatorics, probability, averages, distance and work problems. The domain also covers the characteristics of geometric shapes such as straight lines, triangles, quadrilaterals, polygons and circles, and the characteristics of geometric solid figures such as boxes, cylinders, cones, prisms and pyramids. The ability to remember formulas is not one of the skills required for the test, and therefore most of the formulas needed for answering the questions are provided on the formula page that appears in the test booklet.

Details and explanations of components of the Quantitative Reasoning domain appear here: examples and explanations of Quantitative Reasoning questions.

There are two types of questions in the Quantitative Reasoning domain. A description of the quantitative reasoning ability required for each type appears below, along with an explanation of its relevance to academic studies.

### Questions and Problems

**example 5 - questions and problems**

Most of the questions in the Quantitative Reasoning sections fall under the heading of Questions and Problems. These deal with a variety of topics in algebra and geometry. In order to solve these questions, the examinee must comprehend quantitative information presented in an abstract form, for example an equation with missing values, or in concrete terms, for example, a scenario that the examinee must convert from verbal to mathematical terms. There are questions that call for calculation strategies, and there are those that require an understanding of rules.

Scientific research in most fields is based on the gathering, processing, analysis and presentation of quantitative data. Most courses in education, social sciences, natural sciences and life sciences, require basic quantitative data processing skills, and the use of mathematical tools to solve problems is a necessity. In other disciplines, especially the exact sciences, proficiency in these skills is essential for academic success.

More information about questions and problems in the Quantitative Reasoning domain can be found here: questions and problems in examples and explanations.

### Graph and Table Comprehension Questions

**example 6 - graph and table comprehension**

These questions involve analyzing information presented in a graph or table, along with a short explanation. The information is presented in a variety of visual forms, for example, in a graph or in a diagram with columns. In a table, the quantitative data are arranged in rows and columns.

Obtaining information from a graph or table in order to analyze it requires a variety of analytical skills such as understanding coordinate systems and the structure of tables, the ability to convert visual information into quantitative information and the ability to extract a specific piece of information from a larger set of data. Organization and presentation of data in tables and graphs is widely used in both scientific and non-scientific texts. The media often use these visual modes of presenting information, and the ability to process this kind of information is therefore important not only for academic studies, but for everyday life. Students at institutions of higher learning are required not only to interpret tables and graphs but also to produce them.

More information about table and graph comprehension can be found here: graph and table comprehension questions in examples and explanations.

### Topics not covered by the Quantitative Reasoning questions

The Quantitative Reasoning questions test knowledge and ability in various mathematical areas. Other areas, such as trigonometry, differential and integral calculus, etc., are not covered by the test. This is because the test only relates to areas needed for academic studies; including other areas would make the test unnecessarily difficult.