By the end of this chapter you'll be able to…

  • 1Read a table accurately to find a maximum, minimum, total and percentage share
  • 2Compute the mean of a dataset and recover a missing value from a given mean
  • 3Compute the median for both odd and even counts of sorted data
  • 4Compute the mode and range of a dataset
  • 5Compute the combined mean of two groups of different sizes
  • 6Compute percentage change across consecutive periods and correctly identify the period of highest growth
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Why this chapter matters in CUET UG
This is the smallest topic in the paper by question count, but the calculation involved is always basic — mean, median, mode, range or a percentage change. The entire difficulty is reading the given table correctly; a misread cell produces a confidently wrong answer even with flawless arithmetic afterward.

Before you start — revise these

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Arithmetic
Percentage of a group and averages, taught there, are the direct base for this chapter's share-of-total and mean calculations.
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Numerical Ability
Basic percentage and average calculations are assumed fluent before applying them to table-based data here.

Data Interpretation & Statistics — CUET UG General Test

This is the smallest of the five Quantitative & Numerical Ability topics, but it rewards careful reading more than any of the others: every question starts from a single small table, and the entire difficulty lies in extracting the right numbers from it accurately — the calculation that follows is always basic. A single misread cell produces a confidently wrong answer built on otherwise-correct arithmetic.

1. Reading a table: maximum, minimum, total and share

Before calculating anything, scan the whole table once to identify its rows, columns and units — a table's maximum or minimum value is found by direct comparison, never by any calculation, and the total is simply the sum of every relevant entry. A "share of total" or "part of a group" question then divides one entry by that total, exactly like the percentage-of-a-group questions from the Arithmetic chapter.

2. Mean (average) and finding a missing value

The mean of a dataset is its sum divided by its count — identical to "average" elsewhere in this cluster — and a "missing value" question reverses that relationship: multiply the given mean by the total count to recover the full sum, then subtract the sum of the known values to isolate the missing one.

3. Median

The median is the middle value of a dataset once every value is arranged in order — for an ODD count of values, it is the single middle value directly; for an EVEN count, it is the average of the two middle values. Arranging the data in order first is not optional: a median taken from unsorted data is simply wrong, regardless of how the calculation afterward is done.

(5 values, odd) has median 9 directly. (6 values, even) has median .

4. Mode

The mode is the value that occurs most frequently in a dataset — unlike mean and median, it does not require sorting or arithmetic, only counting how many times each value appears. A dataset can have one mode, more than one (if two or more values tie for the highest frequency), or no mode at all (if every value occurs equally often).

5. Range

The range is simply the maximum value minus the minimum value in a dataset — the single fastest statistic to compute, since it needs only two values already identified while reading the table.

6. Combined mean of two groups

Exactly as with combined averages elsewhere in this cluster, the combined mean of two groups is their combined sum divided by their combined count — never the simple average of the two individual means, unless both groups happen to be the same size.

7. Percentage change and identifying the highest-growth period

Percentage change between two consecutive periods in a table follows the same formula as any percentage increase — (new value minus old value), divided by the OLD value, times 100 — computed separately for every pair of consecutive periods when a question asks which period had the highest growth.

A larger absolute increase does NOT automatically mean a higher percentage growth — a small absolute increase on a small base can outpace a larger absolute increase on a much larger base, so every candidate period's percentage must actually be computed and compared, not estimated by eye.

Worked Examples

A company's yearly sales (in ₹ lakh) are given below.

Year20192020202120222023
Sales120150135180165

Example 1. Find the total sales across all five years.

.

Answer: ₹750 lakh.

Example 2. In which year were sales the highest, and by how much do they exceed the lowest year's sales?

Highest: 2022 (₹180 lakh). Lowest: 2019 (₹120 lakh). Difference .

Answer: 2022 is highest; it exceeds 2019 by ₹60 lakh.

Example 3. What percentage of the 5-year total do 2022's sales represent?

.

Answer: 24%.

Example 4. Find the mean, median and mode of: .

Mean . Median (already sorted, odd count) (the middle value). No value repeats, so there is no mode.

Answer: Mean = 18, Median = 18, Mode = none.

Example 5. Find the median of: .

Sorted: (5 values, odd count). The middle value is 9.

Answer: 9.

Example 6. Find the median of: .

Already sorted, 6 values (even count). Median .

Answer: 15.5.

Example 7. Find the mode of: .

3 appears three times, more than any other value.

Answer: 3.

Example 8. Find the range of: .

Maximum , minimum . Range .

Answer: 82.

Example 9. One group of 5 numbers has a mean of 20; another group of 3 numbers has a mean of 30. Find the combined mean of all 8 numbers.

Combined sum . Combined mean .

Answer: 23.75.

Example 10. The mean of 5 numbers is 20. Four of the numbers are 15, 22, 18 and 25. Find the fifth number.

Total sum . Sum of the four known numbers . Fifth number .

Answer: 20.

Example 11. Using the sales table above, find the percentage change in sales for each year from 2019 to 2023, and identify the year of highest growth.

2020: . 2021: . 2022: . 2023: .

Answer: 2022 has the highest growth, at approximately 33.3% — even though 2020's absolute increase (₹30 lakh) is smaller than 2022's (₹45 lakh) in raw terms, both years' PERCENTAGE growth had to be computed and compared directly, and 2022's percentage growth on its 2021 base turns out highest.

Summary

Every question in this topic starts with reading a table correctly — maximum, minimum and total are found by direct comparison or summation, never by calculation shortcuts, and a misread cell produces a wrong answer regardless of correct arithmetic afterward.

Mean = sum / count, reversible to recover a sum or a missing value. Median requires sorting first — the single middle value for an odd count, the average of the two middle values for an even count. Mode is the most frequent value, found by counting, not calculating. Range = maximum − minimum, the fastest statistic to compute.

A combined mean of two groups is their combined sum over combined count, never the simple average of two means unless the groups are equal size. Percentage change between periods must be computed separately for every candidate period when identifying the highest-growth period — a larger absolute increase does not guarantee a higher percentage increase.

Key formulas & results

Everything to memorise for the exam hall, in one card. Screenshot this for revision.

Mean
Reversible to recover a sum or a single missing value.
Median (odd/even)
Data must be sorted in order first — a median from unsorted data is wrong.
Range
The fastest statistic to compute, needing only two already-identified values.
Combined mean
Not the simple average of the two means unless both groups are equal in size.
Percentage change
Computed separately for EVERY candidate period when identifying the highest-growth period.
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Traps CUET UG sets — and how to dodge them

These are the exact option-traps and misreads that cost marks under negative marking.

WATCH OUT
Computing a median from unsorted data
Always arrange the data in ascending (or descending) order first, then apply the odd-count or even-count median rule.
Why it happens: The median specifically means the MIDDLE value once ordered — reading an arbitrary position in unsorted data gives a meaningless number.
WATCH OUT
Assuming the year or period with the largest absolute increase also has the highest percentage growth
Compute the percentage change for every candidate period individually and compare those percentages directly.
Why it happens: A smaller absolute increase on a smaller base can produce a larger percentage increase than a bigger absolute increase on a much larger base.
WATCH OUT
Averaging two groups' means directly when the groups have different sizes
Compute each group's total sum (mean x count), add the two sums, and divide by the combined count.
Why it happens: A simple average of two means silently assumes equal group sizes, understating or overstating the true combined mean when sizes actually differ.
WATCH OUT
Misreading a table's row or column while scanning for a maximum or minimum
Scan the table once fully — noting units and labels — before extracting any single value, rather than jumping straight to the number that looks largest.
Why it happens: A table question's entire difficulty is in correct reading, since the arithmetic that follows is always simple; a single misread cell invalidates an otherwise-correct calculation.
WATCH OUT
Forgetting that a dataset can have no mode, or more than one mode
Count each value's frequency explicitly — if the highest frequency is shared by two or more values, report all of them; if every value appears equally often, there is no mode.
Why it happens: Mode is defined purely by frequency comparison, and assuming a single mode always exists leads to a wrong or incomplete answer.

Exam-pattern practice

PYQ-style questions with full solutions. Work through them as a readiness check — mark yourself honestly and get your gap report at the end.

Readiness check

Are you exam-ready for Data Interpretation & Statistics?

10 problems from this chapter. Try each one, reveal the worked solution, mark yourself honestly — get your gap report at the end.

10 questions~7 min worth ~250 marks in CUET UG exams

5-minute revision

The whole chapter, distilled. Read this the night before the exam.

  • Read a table fully once before extracting any value — maximum/minimum are found by direct comparison, total by summation, never by shortcut calculation.
  • Mean = sum / count, reversible to recover a sum or a single missing value.
  • Median needs sorted data first: the single middle value for an odd count, the average of the two middle values for an even count.
  • Mode is the most frequent value, found by counting — a dataset can have no mode or more than one.
  • Range = maximum - minimum, the fastest statistic to compute.
  • Combined mean = combined sum / combined count, not the simple average of two means unless the groups are equal size.
  • Percentage change must be computed separately for every candidate period when identifying the period of highest growth — a bigger absolute increase does not guarantee a bigger percentage increase.

CUET UG question blueprint

How this topic is asked, tier by tier — so you can prep to the pattern.

Typical weightage: Data Interpretation & Statistics contributes an estimated 5-15 of the General Test's 250 marks (about 1-3 of 50 questions)

Question styleMarks eachTypical countWhat it tests
Reading a table5~1Extracting a total, maximum, minimum or percentage share from a table
Mean5~1Computing a dataset's mean
Median5~1Computing the median for odd- or even-count data
Mode5~1Identifying the most frequent value in a dataset
Range5~1Computing maximum minus minimum
Missing value from mean5~1Recovering a missing value from a given mean
Combined mean5~1Computing a size-weighted combined mean of two groups
Percentage change5~1Computing and comparing percentage change across periods
Prep strategy
  • Day 1: table-reading discipline (max/min/total/share) with timed drills on small tables.
  • Day 2: mean, median, mode and range, with sorting practice for median.
  • Day 3: combined mean and percentage-change-across-periods questions, then mixed timed practice.

Exam-hall strategy

Battle-tested tips from mentors and toppers for this topic under the sectional clock.

  1. Spend the first few seconds scanning the whole table's rows, columns and units before extracting any single value.
  2. Always sort data mentally (or on the rough sheet) before computing a median — never skip this step even for a small dataset.
  3. For a 'highest growth period' question, compute every candidate period's percentage change rather than trusting which looks largest by eye.
  4. For a combined-mean question, compute each group's total sum first, then divide by the combined count — never average the two means directly.
  5. Double-check a missing-value-from-mean answer by adding it back to the known values and confirming the mean matches.

Beyond the exam

Where this skill shows up in the job you're competing for — and in life.

Reading business and news reports

Computing a share of total, a year-over-year percentage change, or identifying which period grew fastest is exactly how sales, revenue and demographic reports are read and summarised.

Basic data summaries

Mean, median, mode and range together form the standard first summary of any small dataset, from test scores to survey results.

Where else this topic is tested

Prepare once, score in every exam that asks it.

IBPS PO / SBI PO Data InterpretationHigh — the same mean/median/mode/percentage-change toolkit is core to banking-exam DI sets, at greater complexity
SSC CGL Data InterpretationModerate — overlapping table-reading and statistics questions
CAT Data Interpretation & Logical ReasoningLow-Moderate — shares the underlying statistics concepts, applied within much more complex multi-step sets

Questions aspirants ask

Pulled from the Q&A community and mentor sessions.

Roughly 1-3 of the General Test's 50 questions — the smallest of the five Quantitative & Numerical Ability topics by question count.

At this level the data is typically presented as a simple table. The calculations (mean, median, mode, range, percentage change) are identical regardless of how the data is displayed.

Median specifically means the middle value once the data is arranged in order — reading a fixed position in unsorted data does not give a meaningful 'middle' value at all.

Yes — percentage growth depends on both the increase and the base it grew from. A smaller absolute increase on a small base can outpace a larger absolute increase on a much bigger base, so each period's percentage must be computed and compared directly.

Only when both groups are exactly the same size. Otherwise, combine the two groups' sums first (mean x count for each) and divide by the combined count.
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