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MH CET MBA Data Interpretation & Data Sufficiency Syllabus

Every chapter and topic of Data Interpretation & Data Sufficiency examined in MH CET MBA — 3 chapters, 12 topics and 7 sub-topics, plus 49 flashcards written against it.

3Chapters
12Topics
7Sub-topics
~10hEst. first pass
15%Of MH CET MBA
49Flashcards

Data Interpretation & Data Sufficiency syllabus — full chapter and topic list

Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Data Interpretation & Data Sufficiency in MH CET MBA, not a summary of it.

  1. Data Interpretation - Tabular & Graphical

    4 topics
    • Tables
      • Single and multi-table calculation
      • Missing-value tables
    • Bar Graphs
      • Simple and stacked bars
    • Line Graphs
    • Pie Charts
      • Single and comparative pie charts
  2. Advanced & Combined DI

    4 topics
    • Caselets (Paragraph-based DI)
    • Mixed/Combined Graphs
    • Radar and Other Charts
    • Calculation-intensive DI Techniques
      • Approximation and percentage shortcuts
      • Ratio comparison methods
  3. Data Sufficiency

    4 topics
    • Two-statement Data Sufficiency
      • Standard five-option framework
    • Quant-based Data Sufficiency
    • Reasoning-based Data Sufficiency
    • Data Comparison

Data Interpretation & Data Sufficiency flashcards for MH CET MBA

22 of 49 cards from the Data Interpretation & Data Sufficiency deck — real questions with worked answers.

  1. In a Data Interpretation table, what does each row and column typically represent, and why are tables considered the most precise DI format?

    Each row usually represents a category/entity and each column an attribute/parameter (or time period). Tables are most precise because they give exact numerical values directly, requiring no estimation from a visual scale, but they demand more reading and calculation effort.

  2. What is the standard formula for percentage change between an old value and a new value in DI?

    Percentage change = [(New value − Old value) / Old value] × 100. A positive result is an increase, a negative result is a decrease.

  3. How do you compute a category's share (percentage contribution) of a total in a DI table?

    Share = (Category value / Total of all categories) × 100.

  4. What is a bar graph and when is it the most appropriate DI chart to use?

    A bar graph represents data using rectangular bars whose lengths/heights are proportional to the values. It is best for comparing discrete categories or comparing magnitudes across groups at a single point or a few points in time.

  5. What is the difference between a grouped (clustered) bar graph and a stacked bar graph?

    A grouped bar graph places multiple bars side by side per category to compare sub-groups directly. A stacked bar graph stacks sub-group values within a single bar so the total height shows the aggregate while segments show the components.

  6. In a stacked bar chart, how do you read the value of a single component segment?

    Subtract the cumulative value at the bottom of the segment from the cumulative value at the top of the segment; the difference is that component's value.

  7. What is a line graph and what is its primary analytical use in DI?

    A line graph plots data points connected by line segments. It is primarily used to show trends over time and to compare the rate of change (slope) between two or more series.

  8. In a line graph, what does a steeper slope between two points indicate?

    A steeper slope indicates a greater rate of change (larger increase if upward, larger decrease if downward) over that interval.

  9. What does a pie chart represent and what must the sum of all its sectors always equal?

    A pie chart represents parts of a whole as sectors of a circle. The sum of all sectors must always equal 100% (or 360 degrees of central angle).

  10. What is the formula linking a pie chart sector's central angle to its percentage share?

    Central angle = (Percentage share / 100) × 360 degrees. Equivalently, Percentage = (Central angle / 360) × 100.

  11. In a pie chart, what central angle corresponds to 1% of the total, and how is this useful?

    1% corresponds to 3.6 degrees. Multiplying any percentage by 3.6 gives its central angle, and dividing any angle by 3.6 gives its percentage—useful for quick conversions.

  12. If a pie chart sector has a central angle of 90 degrees, what percentage and fraction of the total does it represent?

    90 degrees = 25% = one quarter (1/4) of the total.

  13. What is a caselet (paragraph-based DI) and what skill does it primarily test?

    A caselet presents data embedded in a descriptive paragraph rather than a table or chart. It primarily tests the ability to extract, organize, and tabulate scattered information before solving—often requiring the solver to build their own table or Venn diagram.

  14. What is the recommended first step when solving a caselet DI set?

    Read carefully and convert the textual data into a structured form (a table, grid, or Venn diagram) so relationships and missing values become visible before attempting any calculation.

  15. What is a mixed or combined graph in DI, and give a common example.

    A mixed/combined graph displays two or more chart types together (or two data series with different scales) in one figure. A common example is a bar graph for absolute values combined with a line graph for a percentage/ratio, often using a secondary (dual) y-axis.

  16. In a combined bar-and-line chart with two y-axes, what caution must a solver observe?

    Each series must be read against its own axis/scale; the bar values use the primary (left) axis and the line values use the secondary (right) axis, so they cannot be compared by visual height alone.

  17. What is a radar (spider) chart and what kind of data is it best suited for?

    A radar chart plots multiple variables on axes radiating from a common center, forming a polygon. It is best for comparing the profile of one or more entities across several dimensions (e.g., ratings on multiple parameters) simultaneously.

  18. In a radar chart, how do you read the value of a parameter for a given entity?

    Read the distance from the center to the data point along that parameter's axis, using the concentric scale marked on the axis.

  19. Name two non-standard DI chart types beyond bar/line/pie and state what each shows.

    Bubble chart (shows three variables: x-position, y-position, and bubble size/area). Funnel chart (shows progressively decreasing stages of a process, e.g., a sales pipeline).

  20. What is the key approximation technique used in calculation-intensive DI to compare two fractions quickly?

    Cross-multiplication: to compare a/b and c/d, compare a×d with c×b; the larger product indicates the larger fraction (assuming positive denominators). This avoids full division.

  21. How can percentages be estimated quickly using benchmark fractions in calculation-intensive DI?

    Memorize fraction-to-percentage equivalents (e.g., 1/8=12.5%, 1/6≈16.67%, 1/3≈33.33%, 1/7≈14.28%, 3/8=37.5%) and break a target percentage into sums/multiples of these benchmarks for fast mental estimation.

  22. What is the 'percentage-to-fraction' shortcut for computing a 12.5% portion of a number?

    12.5% = 1/8, so 12.5% of a number equals the number divided by 8. Similarly 16.67% = 1/6, 14.28% = 1/7, 11.11% = 1/9.

See more Data Interpretation & Data Sufficiency flashcards →

Planning Data Interpretation & Data Sufficiency for MH CET MBA

Data Interpretation & Data Sufficiency is about 15% of the MH CET MBA syllabus by topic count — 12 of 82 topics, spread over 3 chapters. At roughly 45 minutes per topic plus 12 minutes per sub-topic, a first pass runs to about 10 hours.

The heaviest chapters are Data Interpretation - Tabular & Graphical (4 topics), Advanced & Combined DI (4 topics), Data Sufficiency (4 topics) . Front-load those while your energy is high; the short chapters are better revision filler later.

Work top-down: read the chapter, then tick topics off individually rather than marking the whole chapter done. Sub-topics are where silent gaps hide.

Data Interpretation & Data Sufficiency (MH CET MBA) FAQ

What is in the MH CET MBA Data Interpretation & Data Sufficiency syllabus?

Data Interpretation & Data Sufficiency is split into 3 chapters — Data Interpretation - Tabular & Graphical, Advanced & Combined DI and Data Sufficiency, containing 12 topics and 7 sub-topics in total.

How many chapters are there in Data Interpretation & Data Sufficiency for MH CET MBA?

3 chapters. Data Interpretation & Data Sufficiency accounts for about 15% of the topics in the whole MH CET MBA syllabus (12 of 82).

How long should I spend on Data Interpretation & Data Sufficiency for MH CET MBA?

Budget around 10 hours for a first pass through Data Interpretation & Data Sufficiency — about 45 minutes per topic plus 12 minutes per sub-topic across its 12 topics. Add revision cycles on top.

Are there flashcards for MH CET MBA Data Interpretation & Data Sufficiency?

Yes — a 49-card Data Interpretation & Data Sufficiency deck. Sample cards are printed on this page, and the full deck is free in the Examius app with spaced repetition scheduling.