Analytical Ability for the CSE Professional: Analogies, Logic and Data

Analytical Ability is the part of the Civil Service Exam that only Professional level examinees take. The CSC’s official scope lists four items: word analogy, symbolic logic and abstract reasoning, identifying assumptions and drawing conclusions, and data interpretation. These questions test how you think, not what you have memorised, so the best preparation is learning a method for each type and practising it.

1. Word analogy

An analogy presents a pair of words with a relationship and asks you to find a pair with the same relationship.

DOCTOR : HOSPITAL :: TEACHER : ___ → SCHOOL

Method: before you look at the options, describe the first pair in a short sentence. “A doctor works in a hospital.” Then apply the same sentence to the second pair: “A teacher works in a ___.” Only one option fits exactly.

Common relationships:

Relationship	Example
Worker and workplace	doctor : hospital
Tool and use	pen : write
Opposites	ascend : descend
Young and adult	kitten : cat
Part and whole	petal : flower
Instrument and what it measures	thermometer : temperature
Lack and thing lacking	drought : rain
Member and group	senator : Senate

Trap: options that are related to the words but not in the same way. “Surgeon : patient” is related, but if the first pair is “carpenter : hammer” (worker and tool), the answer must be “surgeon : scalpel”.

2. Logical statements

Logic questions give you statements and ask what must follow. Accept the statements as true, even if they sound unusual, and choose only what is certain.

“All” statements

All clerks in this office use computers. Ben is a clerk in this office. → Ben uses a computer.

“Some” statements are weaker than they look

All roses are flowers. Some flowers fade quickly. It does not follow that some roses fade quickly, because the flowers that fade quickly may not include roses.

Drawing quick circles (Venn diagrams) is the safest way to check “all”, “some” and “no” statements.

If–then statements

If it rains, the program moves indoors.

• The program did not move indoors → it did not rain. ✔ (valid)
• The program moved indoors → we cannot conclude it rained. ✘ (it may have moved for another reason)

Negations

“Not all applicants passed” means at least one did not pass, not “none passed”.

3. Assumptions and conclusions

An assumption is something the speaker takes for granted without saying it. A conclusion is something that follows from the information given.

Statement: “The city will add more buses to reduce traffic.” Assumption: more buses will lead some people to stop driving cars.

Method for assumptions: ask, “What must be true for this statement or plan to make sense?” If an option is not needed for the statement to make sense, it is not an assumption.

Method for conclusions: ask, “Is this certain from the information alone?” Reject options that:

• add information not given;
• use extreme words such as all, always, never or will surely when the data do not support them;
• confuse “happened after” with “was caused by”.

Data: after flexible hours were introduced, late arrivals fell from 40 to 10 a month. Supported: late arrivals decreased after the change. Not supported: flexible hours ended all lateness.

4. Data interpretation

These questions give a table or chart and ask for totals, averages, percentages or comparisons.

Method:

1. Read the title, labels and units before the numbers.
2. Find only the numbers you need. Tables often contain extra information.
3. Compare rates, not counts. A group with more passers can still have a lower passing rate if it is larger.
4. Base percentage change on the earlier value: (new − old) ÷ old × 100.
5. Estimate first to rule out options that are far off.

Group A: 36 of 45 passed (80%). Group B: 42 of 60 passed (70%). Group C: 27 of 30 passed (90%). Group B had the most passers, but Group C had the highest passing rate.

Trap: averaging percentages from groups of different sizes. The overall rate for these three groups is 105 ÷ 135 ≈ 78%, not the simple average of 80%, 70% and 90%.

How to build analytical skill

Analytical questions improve with regular, varied practice more than with long sessions. Do ten questions a day from different types, and for every mistake, write down which rule or trap caught you.

Start with word analogy and logical reasoning, then move to assumptions and conclusions and data interpretation. Each explanation shows the reasoning step by step, so you learn the method as well as the answer.