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Important Questions: CBSE Class 10 Mathematics Chapter 13 Statistics

Statistics in CBSE Class 10 Mathematics Chapter 13 is a scoring chapter that tests your ability to organize data, compute central tendencies (mean, median, mode), and interpret cumulative frequency graphs. With 10–12 marks at stake in the board exam, mastering important questions across 1-mark MCQs, 2-mark short answers, 3-mark applications, and 5-mark case studies is essential. This page brings you 18+ carefully selected, exam-aligned questions with step-by-step model answers, a breakdown of CBSE question patterns, and a checklist of common mistakes to avoid.

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Key takeaways

  • Chapter 13 Statistics typically carries 10–12 marks in the CBSE Class 10 Mathematics board exam, split across objective and subjective formats.
  • Expect 1–2 MCQs (1 mark each), one or two 2-mark questions, one 3-mark question, and one 5-mark question or case-based problem on mean, median, mode, and ogive.
  • Mean by assumed-mean and step-deviation methods, median and mode of grouped data, and drawing cumulative frequency curves (ogive) are high-weightage topics.
  • CBSE often tests empirical relationship (Mode = 3 Median − 2 Mean) and graphical reading of median from ogive in 3-mark and 5-mark questions.
  • Case-based questions introduced since 2021 present real-life data (rainfall, COVID statistics, sales figures) requiring frequency table construction, graph interpretation, and central tendency calculations.
  • Common errors include wrong class mark calculation, confusion between 'less than' and 'more than' ogives, and sign mistakes in assumed-mean method—revise these carefully.
  • Practicing 15–18 varied questions from all mark categories builds speed and confidence for the 80-mark theory paper.

Chapter Overview and Marks Weightage in CBSE Class 10 Mathematics Board Exam

Chapter 13 Statistics is part of Unit V (Statistics and Probability) in the CBSE Class 10 Mathematics syllabus. This unit carries 11 marks in the 80-mark theory paper. Statistics alone contributes approximately 10–12 marks, depending on the year. The 2025 sample paper and previous years (2023, 2024) show a consistent pattern: one or two 1-mark objective questions (MCQ or assertion-reason), one 2-mark question on formula-based computation (mean or mode), one 3-mark question involving calculation and reasoning (median, empirical formula, or graph interpretation), and one 5-mark question or case-based integrated problem requiring construction of frequency tables, calculation of all three measures of central tendency, or drawing and interpreting an ogive. The chapter builds on Class 9 Statistics (basic data presentation) and introduces grouped data formulae, making it both conceptual and computation-intensive. Topics tested include mean (direct, assumed-mean, step-deviation methods), median, mode, cumulative frequency distribution, and ogive construction. Understanding the weightage helps you allocate revision time: spend extra hours on 5-mark questions and case studies, as they fetch maximum marks and test multiple concepts together.
  • Unit V (Statistics and Probability): 11 marks total in the 80-mark theory paper.
  • Statistics chapter: typically 10–12 marks across objective (MCQ, assertion-reason) and subjective (VSA, SA, LA, case-based) formats.
  • Expected distribution: 1–2 MCQs (1 mark each), one 2-mark question, one 3-mark question, one 5-mark or case-based question.
  • High-frequency topics: mean by assumed-mean and step-deviation methods, median and mode formulae for grouped data, empirical relationship, ogive drawing and interpretation.
  • Case-based questions (introduced 2021 onwards) integrate real-world data, require multi-step solutions, and carry 4–5 marks.

1-Mark Questions: Multiple Choice Questions (MCQ) and Very Short Answer (VSA)

One-mark questions test quick recall of formulae, definitions, and basic computations. CBSE typically includes 1–2 MCQs or assertion-reason items from Statistics in Section A of the paper. These questions are designed to be solved in under a minute and require no lengthy working—just formula substitution or direct reading from a given table or graph. Common MCQ themes include identifying the correct formula for mean or median, recognizing the class with maximum frequency (modal class), reading cumulative frequency values, or applying the empirical relationship between mean, median, and mode. VSA questions may ask for the class mark of a given interval, the cumulative frequency up to a certain class, or the angle in a pie chart. Accuracy is crucial: even a small error in reading or calculation costs the full mark. Practice at least 10–12 MCQs to build speed and confidence.
  • Q1. The class mark of the class interval 20–30 is: (A) 20 (B) 25 (C) 30 (D) 50. Answer: (B) 25. [Class mark = (20 + 30)/2 = 25.]
  • Q2. If the mean of the data 3, 7, 9, x, 11 is 8, find x. Answer: x = 10. [Sum = 5 × 8 = 40; 3+7+9+x+11=40 ⇒ 30+x=40 ⇒ x=10.]
  • Q3. For a frequency distribution, the sum of all frequencies is 50 and Σf·x = 1500. The mean is: (A) 25 (B) 30 (C) 50 (D) 75. Answer: (B) 30. [Mean = Σf·x / Σf = 1500/50 = 30.]
  • Q4. The modal class of a frequency distribution is the class with: (A) lowest frequency (B) highest frequency (C) lowest class mark (D) highest cumulative frequency. Answer: (B) highest frequency.
  • Q5. In a 'less than' ogive, the cumulative frequency is plotted against: (A) lower limit (B) upper limit (C) class mark (D) frequency. Answer: (B) upper limit.

2-Mark Questions: Short Answer Type on Mean, Mode, and Class Intervals

Two-mark questions require one or two steps of calculation or a brief explanation. CBSE frames these to test formula application without demanding full derivation. Typical 2-mark questions include: finding the mean of a small ungrouped dataset, computing the class mark or class size for given intervals, determining the modal class and stating its frequency, or calculating cumulative frequency for a specific class. You may also be asked to find one missing frequency if the mean is given, or to convert a frequency distribution into a cumulative frequency table. Always show method clearly: write the formula, substitute values, and box the final answer. Even if the answer is obvious, examiners award marks for systematic working. Aim to complete each 2-mark question in 2–3 minutes during the exam.
  • Q6. Find the mean of 12, 15, 18, 20, 25. Answer: Mean = (12+15+18+20+25)/5 = 90/5 = 18.
  • Q7. The class marks of a distribution are 15, 25, 35, 45. Find the class size and write the class intervals. Answer: Class size = 25 − 15 = 10. Intervals: 10–20, 20–30, 30–40, 40–50.
  • Q8. In a frequency table, classes are 0–10, 10–20, 20–30, 30–40 with frequencies 3, 7, 12, 8. Identify the modal class. Answer: Modal class is 20–30 (highest frequency 12).
  • Q9. For the classes 5–10, 10–15, 15–20 with frequencies 4, 6, 5, prepare a cumulative frequency table (less than type). Answer: Cumulative frequencies: 4, 10, 15 (for upper limits 10, 15, 20).
  • Q10. If the mean of 8, 12, x, 16, 20 is 14, find x. Answer: (8+12+x+16+20)/5 = 14 ⇒ 56+x = 70 ⇒ x = 14.

3-Mark Questions: Application of Mean, Median, Mode Formulae and Empirical Relationship

Three-mark questions demand multi-step solutions, usually involving grouped data. CBSE expects you to apply the standard formulae for mean (assumed-mean or step-deviation method), median, or mode, show all substitutions, and interpret the result. Common 3-mark questions include: calculating the mean of a given frequency distribution using assumed-mean method; finding the median class, then computing median using the formula; determining mode using the mode formula; or verifying the empirical relationship Mode ≈ 3 Median − 2 Mean with given data. You may also be asked to find a missing frequency when mean or median is specified, which involves forming and solving a linear equation. Clear step-wise working is essential: define variables (l, h, f, cf), substitute into formula, simplify, and state the final answer with units. Allocate 4–5 minutes per 3-mark question and double-check arithmetic.
  • Q11. Find the mean of the following distribution using the assumed-mean method: Classes 0–10, 10–20, 20–30, 30–40; Frequencies 5, 8, 12, 5. (Take assumed mean A = 15.)
  • Solution: Class marks xᵢ: 5, 15, 25, 35. dᵢ = xᵢ − 15: −10, 0, 10, 20. fᵢdᵢ: −50, 0, 120, 100. Σfᵢ = 30, Σfᵢdᵢ = 170. Mean = A + (Σfᵢdᵢ / Σfᵢ) = 15 + (170/30) = 15 + 5.67 ≈ 20.67.
  • Q12. For a grouped data, median class is 20–30 with cf before it = 12, frequency f = 15, total N = 50, class width h = 10. Find the median.
  • Solution: l = 20, N/2 = 25. Median = l + [(N/2 − cf)/f] × h = 20 + [(25−12)/15]×10 = 20 + (13/15)×10 = 20 + 8.67 ≈ 28.67.
  • Q13. If mean = 25, median = 24, find mode using empirical formula. Answer: Mode = 3×24 − 2×25 = 72 − 50 = 22.
  • Q14. A distribution has classes 10–20, 20–30, 30–40 with frequencies 8, f, 6. If mean is 24, find f. (Solve using mean formula.)

5-Mark Questions: Comprehensive Problems on Mean, Median, Mode, and Ogive

Five-mark questions are the foundation of Statistics scoring. They integrate multiple concepts: constructing or completing a frequency table, calculating mean (often by step-deviation to save time), finding median and mode, verifying empirical relationship, and sometimes drawing a cumulative frequency curve (ogive) to locate median graphically. A typical 5-mark question presents a grouped frequency distribution (or raw data to be grouped), asks you to compute all three measures of central tendency, and may require you to plot a 'less than' or 'more than' ogive on graph paper and mark the median point. CBSE values neat graphs: use a sharp pencil, label axes with variable and scale, plot points accurately, and draw a smooth curve. The written part should show: class intervals and frequencies clearly, cumulative frequency column, formula statement, substitution with all terms defined, arithmetic neatly laid out, and final answers underlined. Practicing 5-mark questions under timed conditions (allocate 8–10 minutes) builds exam stamina and ensures you do not lose marks for incomplete steps.
  • Q15. The marks obtained by 60 students are: 0–10 (5), 10–20 (8), 20–30 (16), 30–40 (18), 40–50 (10), 50–60 (3). (i) Find the mean using step-deviation method. (ii) Find the median. (iii) Find the mode. (iv) Verify Mode ≈ 3 Median − 2 Mean.
  • Solution outline: (i) Choose A=25, h=10. Compute uᵢ=(xᵢ−25)/10 and Σfᵢuᵢ. Mean = A + (Σfᵢuᵢ/Σfᵢ)×h. (ii) N=60, N/2=30. Cumulative freq: 5,13,29,47,57,60. Median class 30–40 (cf=29<30). Median formula. (iii) Modal class 30–40 (f=18 max). Mode formula. (iv) Substitute and check empirical relation.
  • Q16. Draw a 'less than' ogive for the data: Class 0–10, 10–20, 20–30, 30–40, 40–50; Frequency 4, 6, 10, 8, 2. Use it to estimate the median graphically. Also calculate median by formula and compare.
  • Solution: Cumulative frequencies (less than): 4, 10, 20, 28, 30. Plot (10,4), (20,10), (30,20), (40,28), (50,30). Join smoothly. N/2=15; draw horizontal line at cf=15, read x-coordinate (approx 26). Formula: median class 20–30, l=20, cf=10, f=10, h=10. Median=20+[(15−10)/10]×10=20+5=25. Graphical and calculated values should be close.
  • Q17. A survey of 100 families gave the following frequency distribution of monthly income (in ₹ thousands): 10–15 (8), 15–20 (14), 20–25 (22), 25–30 (28), 30–35 (18), 35–40 (10). Find (i) mean income, (ii) median income, (iii) modal income class. Present your answer in ₹.
  • Q18. The table shows the age distribution of 80 patients in a hospital: Age 0–20 (10), 20–40 (20), 40–60 (30), 60–80 (15), 80–100 (5). Calculate mean age by assumed-mean method, find the median age class, and compute mode. Comment on which measure best represents central age.

Case-Based / Integrated Questions: Real-World Data Application

Since 2021, CBSE has introduced competency-based case studies in the Class 10 Mathematics paper. A Statistics case-based question presents a real-life scenario—daily COVID cases, rainfall data, sales figures, survey results—accompanied by a frequency table or raw data. Candidates answer 4–5 sub-questions (MCQ or short-answer), each worth 1 mark, totaling 4–5 marks per case. These questions test comprehension, data interpretation, and application of statistical formulae in context. You might be asked to identify the modal class, compute mean or median, read cumulative frequency, interpret an ogive, or draw a simple graph. The key is careful reading: underline the question requirement, refer back to the data table, and apply the correct formula. Case-based questions are scoring if you manage time well—allocate 6–7 minutes for the entire case. They also mirror real-world statistical thinking, making them valuable beyond exam scores.
  • Case Q1: A survey recorded the daily screen-time (in hours) of 100 students: 0–2 (10), 2–4 (25), 4–6 (35), 6–8 (20), 8–10 (10). (i) What is the modal class? (ii) Calculate the mean screen-time. (iii) Find the median class. (iv) How many students spend less than 6 hours?
  • Answers: (i) Modal class 4–6 (frequency 35). (ii) Mean = Σfᵢxᵢ/Σfᵢ; compute class marks, Σfᵢxᵢ, divide by 100. (iii) N/2=50, cumulative: 10,35,70,90,100; median class 4–6. (iv) cf up to 6 = 70 students.
  • Case Q2: Monthly rainfall (mm) in a city over 50 days: 0–20 (5), 20–40 (12), 40–60 (18), 60–80 (10), 80–100 (5). (i) Find the mean rainfall. (ii) Which class has maximum frequency? (iii) Prepare a 'less than' cumulative frequency table. (iv) Draw the ogive and estimate the median rainfall.
  • Answers: (i) Use assumed-mean method. (ii) 40–60 (f=18). (iii) cf: 5,17,35,45,50. (iv) Plot and read median at cf=25.
  • Case Q3: Marks distribution of 80 students: 10–20 (6), 20–30 (10), 30–40 (18), 40–50 (28), 50–60 (12), 60–70 (6). (i) Modal class? (ii) Median? (iii) Mean by step-deviation? (iv) Verify empirical formula. (v) What percentage scored above 40?
  • Answers: (i) 40–50. (ii) Calculate. (iii) Calculate. (iv) Check Mode ≈ 3 Med − 2 Mean. (v) (28+12+6)/80 × 100 = 57.5%.

How CBSE Frames Questions from Chapter 13 Statistics

Understanding CBSE question-setting patterns helps you anticipate what to expect and how to prepare. The board follows a competency-based framework: questions test conceptual understanding, procedural fluency, and application. For Statistics, this means questions are rarely rote; they require you to choose the correct formula, interpret data context, and justify steps. CBSE often embeds small twists: giving an incomplete frequency table and asking you to find the missing frequency using a given mean; providing both 'less than' and 'more than' ogives and asking you to find the median by intersection; or presenting a word problem where you must first organize raw data into a grouped table before calculating mean, median, or mode. Another common pattern is multi-part questions: part (a) asks for mean, part (b) for median, part (c) for mode, and part (d) to verify the empirical relationship—this tests whether you can apply all formulae correctly in sequence. The board also favors real-life contexts (health data, sports statistics, economic indicators) to assess application skills. Graphical questions (drawing histogram, frequency polygon, ogive) test neatness and accuracy, often carrying 1–2 marks just for correct plotting. Knowing these patterns, you can practice strategically: focus on formula derivations, multi-step problems, and graph work.
  • Formula-based direct questions: 'Find the mean/median/mode of the given distribution'—straightforward, high-frequency, 2–3 marks.
  • Missing data problems: 'If the mean is 30, find the missing frequency f'—requires forming an equation and solving; tests algebraic skill alongside statistics.
  • Graphical interpretation: 'From the given ogive, estimate the median' or 'Draw the histogram and frequency polygon for the data'—tests graph reading and plotting accuracy.
  • Empirical relation verification: 'Calculate mean, median, mode and check if Mode = 3 Median − 2 Mean holds'—common in 3-mark and 5-mark questions.
  • Cumulative frequency construction: 'Prepare a cumulative frequency table (less than type / more than type)'—often a sub-part in 5-mark questions or case studies.
  • Comparison and reasoning: 'Which measure of central tendency best represents the data and why?'—tests conceptual understanding, may appear as a 1-mark MCQ or 2-mark justification.

Common Mistakes to Avoid in Statistics Questions

Even well-prepared students lose marks in Statistics due to recurring errors. The most frequent mistake is incorrect identification of the median class: students forget that the median class is where the cumulative frequency first equals or exceeds N/2, not merely the class with the highest frequency. Another common slip is using the wrong cf (cumulative frequency of the class before the median class) in the median formula—always double-check your cumulative frequency column. In mean calculation by assumed-mean or step-deviation method, sign errors in dᵢ or uᵢ are frequent; for instance, if xᵢ < A, then dᵢ is negative—students sometimes drop the minus sign, leading to a wrong mean. Class mark confusion also occurs: some students add the frequencies instead of the class limits when computing the class mark. In mode formula, students mix up f₁ (frequency of modal class), f₀ (frequency of class before modal class), and f₂ (frequency of class after modal class). Graphical mistakes include plotting cumulative frequency against class marks instead of upper limits in a 'less than' ogive, or forgetting to join points with a smooth curve. Units are often omitted in final answers—always state units (marks, cm, kg, ₹) as given in the question. Finally, time management errors: spending too long on a 5-mark question and rushing the rest. Practice under timed conditions to avoid this. Maintain a checklist: formula stated, all terms defined, substitution shown, arithmetic verified, answer boxed with units.
  • Wrong median class: Picking the class with maximum frequency instead of the class where cf ≥ N/2.
  • Incorrect cf in median formula: Using cf of the median class itself, not the class before it.
  • Sign errors in assumed-mean: Forgetting that dᵢ = xᵢ − A can be negative; this flips the mean.
  • Class mark miscalculation: Adding frequencies or using wrong limits; class mark = (lower + upper)/2.
  • Mode formula confusion: Swapping f₀, f₁, f₂; modal class is the one with highest frequency, then apply formula.
  • Ogive plotting errors: Plotting cf against class marks or lower limits instead of upper limits (for 'less than' type).
  • Missing units: Writing 'mean = 35' instead of 'mean = 35 marks' or 'mean income = ₹25,000'.
  • Incomplete working: Skipping formula statement or substitution steps; CBSE awards step-marks, so show all work.
  • Time mismanagement: Spending 15 minutes on a 5-mark question; allocate 8–10 minutes and move on.

Preparation Strategy and Practice Tips for Statistics

To master Chapter 13 Statistics, adopt a layered practice approach. Start with NCERT: solve all examples and exercises in Chapter 14 (NCERT Class 10 Maths Chapter 14 is Statistics). Understand the derivation of mean, median, and mode formulae—CBSE may ask you to recall or apply them with small variations. Next, memorize the three standard methods for mean (direct, assumed-mean, step-deviation) and know when to use each—step-deviation is fastest for large class intervals. Practice at least 5–6 median and mode problems until you can identify the correct class and apply the formula without hesitation. For ogives, draw 3–4 graphs on your own graph paper; measure accuracy by checking if your plotted median matches the formula-calculated median. Solve previous years' board papers (2020–2024) and CBSE sample papers; Statistics questions repeat patterns, so you will recognize familiar structures. Time yourself: 1 minute for MCQ, 2–3 minutes for 2-mark, 4–5 minutes for 3-mark, 8–10 minutes for 5-mark. Review common mistakes (listed above) before each mock test. Use CBSETUTOR.ai for instant doubt-clearing: snap a photo of any tricky frequency table or ogive question, and the AI tutor will walk you through the solution step-by-step, available 24×7 at a flat ₹999/month for all subjects and classes (6–12), with a 3-day free trial. Finally, maintain a formula sheet: write all formulae (mean, median, mode, empirical relation, class mark) on one page and revise it daily in the week before the exam. Statistics is scoring if you are systematic—organize your work, double-check arithmetic, and always write units.
  • NCERT first: Complete all Chapter 14 examples, exercises, and optional exercises; understand formula derivations.
  • Master the three mean methods: Direct (simple), assumed-mean (reduces arithmetic), step-deviation (fastest for equal class widths).
  • Practice median and mode: Solve 5–6 problems each; identify median class by cumulative frequency, modal class by maximum frequency.
  • Draw ogives: Plot 3–4 cumulative frequency curves on graph paper; verify median graphically matches formula.
  • Solve past papers: 2020–2024 board papers and CBSE sample papers; note recurring question types and marking schemes.
  • Time yourself: Allocate strict time per question type in mock tests; build speed without sacrificing accuracy.
  • Use CBSETUTOR.ai: Snap and solve tricky questions instantly; the AI tutor explains every step, available 24×7 at ₹999/month (3-day free trial).
  • Maintain a formula sheet: One-page summary of all Statistics formulae; revise daily in the final week.
  • Double-check arithmetic: Statistics involves many calculations; re-compute Σfᵢxᵢ, cf, and substitutions before finalizing answers.

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Frequently asked questions

How many marks does Chapter 13 Statistics carry in the CBSE Class 10 Mathematics board exam?+
Statistics typically carries 10–12 marks out of the 80-mark theory paper, as part of Unit V (Statistics and Probability, 11 marks total). Expect 1–2 MCQs (1 mark each), one 2-mark question, one 3-mark question, and one 5-mark or case-based question covering mean, median, mode, and ogive.
Which topics in Statistics are most important for the board exam?+
High-weightage topics include: (i) mean by assumed-mean and step-deviation methods, (ii) median of grouped data using the formula, (iii) mode of grouped data, (iv) drawing and interpreting 'less than' and 'more than' ogives, and (v) empirical relationship (Mode = 3 Median − 2 Mean). Practice these thoroughly.
What is the empirical relationship between mean, median, and mode?+
The empirical relationship for moderately skewed distributions is: Mode = 3 Median − 2 Mean. CBSE often asks you to verify this in 3-mark or 5-mark questions by calculating all three measures and checking if the formula holds approximately.
How do I identify the median class in a frequency distribution?+
First, compute N (sum of all frequencies) and find N/2. Then prepare a cumulative frequency column. The median class is the class interval where the cumulative frequency first equals or exceeds N/2. Do not confuse it with the modal class (which has the highest frequency).
What is the difference between 'less than' and 'more than' ogive?+
A 'less than' ogive plots cumulative frequency against the upper class limits and rises from left to right. A 'more than' ogive plots cumulative frequency (counting from the top) against the lower class limits and falls from left to right. Their intersection gives the median graphically.
When should I use the step-deviation method for mean?+
Use the step-deviation method when class intervals have equal width (h) and are large numbers. It simplifies arithmetic by converting deviations into small integers (uᵢ = (xᵢ − A)/h), reducing calculation errors and saving time in the exam.
How do I draw an accurate ogive on graph paper?+
Choose a suitable scale for both axes. For a 'less than' ogive, plot points with x-coordinate = upper class limit and y-coordinate = cumulative frequency. Join the points with a smooth freehand curve (not straight lines). Label axes, mark scales, and title the graph. To find the median, draw a horizontal line from N/2 on the y-axis, read the x-coordinate where it intersects the curve.
What are common mistakes students make in Statistics questions?+
Common errors include: (i) wrong median class identification, (ii) using incorrect cf in the median formula, (iii) sign mistakes in assumed-mean method, (iv) confusing class mark with frequency, (v) mixing up f₀, f₁, f₂ in the mode formula, (vi) plotting ogive against wrong limits, (vii) omitting units in final answers, and (viii) incomplete working. Always show all steps clearly.
How can CBSETUTOR.ai help me with Statistics doubts?+
CBSETUTOR.ai lets you snap a photo of any Statistics problem—cumulative frequency tables, ogive graphs, mean/median/mode calculations—and receive instant step-by-step solutions. It recognizes handwriting and graphs, verifies your working, and explains mistakes. Available 24×7 at ₹999/month for all subjects and classes (6–12), with a 3-day free trial.
Is it necessary to memorize all three mean calculation methods?+
Yes, but focus on when to use each. Direct method is simple for small datasets. Assumed-mean method reduces arithmetic for larger numbers. Step-deviation is fastest for grouped data with equal class widths. CBSE may specify the method or leave it to you—knowing all three gives you flexibility and saves time.
How much time should I spend on a 5-mark Statistics question in the exam?+
Allocate 8–10 minutes for a 5-mark question. This includes reading, organizing data, performing calculations, drawing graphs (if required), and reviewing your answer. Practice under timed conditions so you can complete the question accurately within this window without rushing.
Can I score full marks in Statistics if I practice enough questions?+
Absolutely. Statistics is one of the most scoring chapters in Class 10 Mathematics because it rewards systematic working and formula application. Solve NCERT exercises, past board papers, and sample papers thoroughly. Focus on accuracy, neat presentation, and showing all steps. With disciplined practice, full marks (10–12) are very achievable.

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