Distribution is an important LRDI topic where you need to assign different people, objects or entities to categories based on a set of conditions. These questions can involve multi-layered arrangements, placement-based problems and logical data interpretation.
For CAT LRDI Distribution, the key is to identify the factors involved, choose the right factor to fix and use the conditions to eliminate impossible combinations. The same logic can also help with other LRDI areas such as Games and Tournaments, Puzzles, Missing Data and Venn Diagrams. PW CAT batches support your preparation with learning and practice for the different CAT sections.
The first step is to identify all the factors given in the question. Once you know the factors, you can decide how to represent them in a table.
List the people, objects, categories or other variables that need to be matched with one another.
Use the number of factors to determine how the rows, columns and sections of your distribution table should be organised.
Examine the conditions and select the factor that gives you the clearest starting point.
Use the given clues to eliminate impossible combinations and confirm assignments instead of making assumptions too early.
The solving approach changes depending on whether one of the factors has an inherent order.
When positions have a fixed order, such as apartment floors, it is usually useful to fix the ordered factor first and assign the remaining entities to it.
Conditions such as living on the second floor, not living above someone or not living on the top floor can eliminate several possibilities.
When categories have no predefined order, such as five friends wearing five different coloured shirts, any factor can be fixed.
The nature of the conditions should determine which factor you fix rather than simply following a fixed method for every question.
Cross-Hatching, also called the Tick and Cross Method, is useful when a distribution problem contains several indirect, negative or restrictive conditions. It allows you to record possibilities and eliminate them systematically.
List the relevant factors in a table so that every possible combination can initially be considered.
Use crosses to eliminate combinations that violate a given condition.
Once a combination is confirmed, mark the corresponding possibilities in the rest of the table as unavailable.
Do not treat an unresolved possibility as a confirmed assignment until the available conditions support it.
A two-factor distribution problem can involve people and colours, objects and categories or other pairs of variables. A table makes it easier to track the possibilities.
Place one factor along the rows and the other along the columns.
Use clues such as a person not wearing a particular colour to cross out the relevant combination.
Once enough possibilities have been eliminated, confirmed assignments can be identified.
A confirmed assignment can eliminate the same option from other rows and columns, helping you complete the remaining combinations.
Three-factor distribution questions add another layer of information, such as coffee type, country of origin and import duration. The same basic logic can still be applied by dividing the information into manageable sections.
List the three variables before beginning the arrangement so that no condition is overlooked.
A factor that appears frequently in the clues can provide a useful starting point.
Organise the possibilities for each fixed value so that you can track the combinations clearly.
If a clue cannot yet be applied, note it and return to it once another assignment provides the required information.
Some distribution clues can allow more than one logical possibility. Instead of forcing one interpretation, separate the possibilities and test each against the other conditions.
Break a conditional statement into the different cases that it logically permits.
Test each case against assignments that have already been established.
When information is given for two or more entities respectively, match each piece of information to the corresponding entity in the stated order.
Reject a case as soon as it conflicts with an established assignment or another given condition.
Four-factor distribution problems can involve variables such as restaurant names, dishes, costs and ratings. The table becomes larger, but the same elimination-based approach can be applied.
Choose one factor as the fixed reference after examining the conditions.
Arrange the other variables around the fixed factor so that their possible combinations can be tracked.
If a clue allows two possibilities, separate them and check each against the other conditions.
Once an assignment is established, use it to eliminate incompatible restaurant, dish, cost or rating combinations elsewhere in the table.
Some questions involve several factors, such as ice cream flavours, toppings and costs. Keeping the table clear becomes increasingly important as more information is added.
Use the available cost or other reference values to organise the table.
A direct statement linking a flavour to a particular cost, for example, can provide an immediate starting point.
When a condition cannot yet be applied, note it rather than forcing an assignment.
A confirmed flavour or topping can remove the same option from other possible combinations.
In an unordered distribution problem, you can technically fix any factor, but some choices can make the solving process easier.
Look at which factors appear most frequently or have the strongest restrictions.
A factor that occurs repeatedly in the clues may give you more information when fixed.
A useful starting factor can reduce the number of possibilities that need to be considered.
If your initial table becomes complicated, changing the fixed factor can make the conditions easier to apply.
Distribution questions can become difficult when you make assumptions before enough information is available or overlook how one clue affects multiple factors.
Keep multiple possibilities open until the conditions allow you to eliminate them.
Words such as “does not”, “neither” and “not used for” can provide useful information for eliminating combinations.
A possible combination should not be treated as a final assignment until it is supported by the conditions.
Break complicated clues into smaller parts so that each restriction is applied correctly.
After completing the table, check the arrangement against every condition given in the question.
Start with basic two-factor distribution problems before moving to sets involving three or four factors. Regular CAT LRDI practice can help you recognise useful conditions and reduce unnecessary casework.
Practise simple tables and straightforward conditions before attempting multi-factor sets.
Use the Tick and Cross Method across two-, three- and four-factor problems to become comfortable with systematic elimination.
Build accuracy with manageable questions before attempting lengthy distribution sets.
When a condition creates multiple possibilities, list them separately and eliminate the cases that conflict with other clues.
After solving a question, identify whether the difficulty came from understanding the condition, selecting the fixed factor, building the table or eliminating cases.
Use class exercises and daily practice questions to strengthen your understanding and improve your ability to solve distribution sets efficiently.
Watch the session to revise distribution tables, Cross-Hatching, multi-factor problems and case-based elimination.
The key to CAT LRDI Distribution is to identify the factors, choose a useful starting point and convert the conditions into a clear table. Cross-Hatching can be particularly useful when a set contains several negative or indirect clues.
Regular practice with two-, three- and four-factor distribution problems can help you become more comfortable with case-building and elimination. PW also support your overall CAT preparation with learning and revision support across the different sections of the exam.