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CA Foundation PAPER 3: QUANTITATIVE APTITUDE Syllabus

The PAPER 3: QUANTITATIVE APTITUDE syllabus for CA Foundation in full: 3 chapters, 18 topics and 47 sub-topics, every one listed below, plus 69 PAPER 3: QUANTITATIVE APTITUDE flashcards with answers.

3Chapters
18Topics
47Sub-topics
69Flashcards

PAPER 3: QUANTITATIVE APTITUDE syllabus: all 3 chapters

Expand any chapter to see its topics and sub-topics.

  1. BUSINESS MATHEMATICS

    8 topics
    • Ratio and proportion, Indices and Logarithms
      • Ratio and proportion and Time and work-related problems
      • Laws of Indices, Exponents and Logarithms and Anti Logarithms
    • Equations
      • Linear Simultaneous linear equations up to three variables
      • Quadratic and Cubic equations in one variable
      • Applications in Business related problems
    • Linear Inequalities
      • Linear Inequalities in one and two variables and the solution space
    • Mathematics of Finance
      • Simple Interest
      • Compound interest
      • Nominal and Effective Rate of Interest
      • Present Value
      • Net Present Value
      • Future Value
      • Perpetuity
      • Annuities
      • Sinking Funds
      • Calculating of EMI
      • Calculations of Returns: Nominal and Effective rate of Return
      • Compound Annual growth rate (CAGR)
    • Permutations and Combinations
      • Factorial
      • Permutations
      • Circular permutations
      • Permutations with restrictions
      • Combinations with standard results
    • Sequence and Series
      • Introduction Sequences, Series
      • Arithmetic and Geometric progression
      • Relationship between AM and GM and Sum of n terms of special series and Business Applications
    • Sets, Relations, and Functions
      • Basics of Limits and Continuity functions
    • Basic applications of Differential and Integral calculus in Business and Economics (Excluding the trigonometric applications)
  2. LOGICAL REASONING

    4 topics
    • Number series coding and Decoding and odd man out
    • Direction Tests
    • Seating Arrangements
    • Blood Relations
  3. STATISTICS

    6 topics
    • Unit 1: Statistical Representation of Data
      • Diagrammatic representation of data
      • Frequency distribution
      • Graphical representation of Frequency Distribution – Histogram, Frequency Polygon, Ogive, Pie-chart
    • Unit 2: Sampling
      • Basic principles of sampling theory
      • Comparison between sample survey and complete enumeration
      • Some important terms associated sampling types of sampling, sampling and non-sampling errors
    • Measures of Central tendency and Dispersion
      • Mean Median, Mode
      • Mean Deviation, Quartiles and Quartile Deviation
      • Standard Deviation, Co-efficient of Variation, Coefficient of Quartile Deviation
    • Probability
      • Independent and dependent events; mutually exclusive events
      • Total and Compound Probability and Bayes’ theorem
    • Theoretical Distributions
      • Random variables, Discrete and Continuous Random variables
      • Expectation of a discrete random variable
      • Theoretical Distributions: Binomial Distribution, Poisson distribution – basic application
      • Normal Distribution – basic applications
    • Correlation and Regression
      • Scatter diagram
      • Karl Pearson’s Coefficient of Correlation Rank Correlation
      • Regression lines
      • Regression equations,
      • Regression coefficients

CA Foundation PAPER 3: QUANTITATIVE APTITUDE flashcards — 69 questions with answers

  1. What is the difference between a ratio and a proportion?

    A ratio compares two quantities of the same kind (a:b = a/b). A proportion is an equality of two ratios (a:b = c:d, i.e., a/b = c/d), where the product of extremes equals the product of means (ad = bc).

  2. In the proportion a:b = c:d, what are the mean proportional and the third/fourth proportional?

    In a:b = c:d, a and d are extremes, b and c are means. The fourth proportional to a, b, c is d = bc/a. The third proportional to a, b is b²/a. The mean proportional between a and b is √(ab).

  3. State the laws of indices for a^m × a^n, a^m ÷ a^n, (a^m)^n, a^0 and a^(-n).

    a^m × a^n = a^(m+n); a^m ÷ a^n = a^(m−n); (a^m)^n = a^(mn); a^0 = 1 (a≠0); a^(−n) = 1/a^n; a^(1/n) = n-th root of a.

  4. State the three fundamental laws of logarithms (product, quotient, power).

    log(mn) = log m + log n; log(m/n) = log m − log n; log(m^n) = n·log m. Also log_a a = 1 and log_a 1 = 0.

  5. State the change of base formula for logarithms and the value of log_b a × log_a b.

    Change of base: log_a m = log_b m / log_b a. Consequence: log_b a × log_a b = 1 (they are reciprocals).

  6. How many roots does a quadratic equation ax² + bx + c = 0 have, and what is the quadratic formula?

    It has exactly two roots. x = [−b ± √(b² − 4ac)] / (2a).

  7. For ax² + bx + c = 0, what are the sum and product of the roots?

    Sum of roots = −b/a. Product of roots = c/a.

  8. What does the discriminant (b² − 4ac) of a quadratic tell you about the nature of its roots?

    If b²−4ac > 0: real and distinct roots. If = 0: real and equal roots. If < 0: imaginary (complex conjugate) roots. If it is a perfect square (and >0): roots are rational.

  9. How is a cubic equation different from a quadratic, and how many roots does it have?

    A cubic equation has the highest power 3 (ax³+bx²+cx+d=0) and has exactly three roots. For roots α, β, γ: sum = −b/a, sum of products taken two at a time = c/a, product = −d/a.

  10. What happens to an inequality when both sides are multiplied or divided by a negative number?

    The direction of the inequality sign is reversed. E.g., if x > y, then −x < −y, and multiplying by −2 gives −2x < −2y.

  11. In linear programming, what is the feasible region and where does the optimal solution occur?

    The feasible region is the set of all points satisfying all the constraints (intersection of half-planes). The optimal value of the objective function occurs at a corner (vertex/extreme) point of the feasible region.

  12. State the formula for Simple Interest and the Amount.

    Simple Interest = P × R × T / 100, where P = principal, R = rate % per annum, T = time in years. Amount = P + SI = P(1 + RT/100).

  13. State the Compound Interest formula for the amount when compounded annually.

    A = P(1 + r/100)^n, where P = principal, r = rate % per period, n = number of periods. Compound Interest = A − P.

  14. How is the compound amount formula adjusted when interest is compounded m times per year?

    A = P(1 + r/(100m))^(mn), where r = annual rate %, m = compounding frequency per year, n = number of years.

  15. What is the formula for the effective rate of interest given nominal rate i compounded m times a year?

    Effective rate E = (1 + i/m)^m − 1, expressed as a percentage. It is the equivalent annual rate of return accounting for compounding.

  16. State the formula for the Future Value of an ordinary annuity.

    FV = A × [((1 + i)^n − 1) / i], where A = periodic payment, i = interest rate per period, n = number of periods (payments made at the end of each period).

  17. State the formula for the Present Value of an ordinary annuity.

    PV = A × [(1 − (1 + i)^(−n)) / i], where A = periodic payment, i = rate per period, n = number of periods.

  18. What is the formula for the Present Value of a perpetuity?

    PV = A / i, where A = periodic payment and i = interest rate per period. A perpetuity is an annuity that continues forever.

  19. Define the difference between Permutation and Combination.

    A permutation is an arrangement where order matters; a combination is a selection where order does not matter. nPr ≥ nCr because each combination corresponds to r! permutations.

  20. State the formulas for nPr and nCr.

    nPr = n! / (n − r)! ; nCr = n! / [r!(n − r)!]. Relationship: nPr = nCr × r!.

Show the other 49 PAPER 3: QUANTITATIVE APTITUDE flashcards
  1. What is the value of nC0, nCn, and what does nCr = nC(n−r) state?

    nC0 = nCn = 1. The identity nCr = nC(n−r) states that choosing r items is equivalent to leaving out (n−r) items. Also nCr + nC(r−1) = (n+1)Cr (Pascal's rule).

  2. How many ways can n distinct objects be arranged in a circle?

    (n − 1)! ways for a circular arrangement. If clockwise and anticlockwise arrangements are considered the same (e.g., a garland/necklace), it is (n − 1)!/2.

  3. How many permutations are there of n objects where there are repeated items (p alike, q alike, r alike)?

    n! / (p! × q! × r!), where p, q, r are the counts of each kind of identical object.

  4. State the formula for the nth term of an Arithmetic Progression (AP).

    Tn = a + (n − 1)d, where a = first term, d = common difference, n = term number.

  5. State the formula for the sum of the first n terms of an AP.

    Sn = n/2 [2a + (n − 1)d] = n/2 (a + l), where a = first term, d = common difference, l = last term.

  6. State the formula for the nth term and the sum of n terms of a Geometric Progression (GP).

    nth term: Tn = a·r^(n−1). Sum: Sn = a(r^n − 1)/(r − 1) for r > 1, or a(1 − r^n)/(1 − r) for r < 1, where a = first term, r = common ratio.

  7. What is the formula for the sum of an infinite GP, and when does it apply?

    S∞ = a / (1 − r), valid only when |r| < 1 (the common ratio's absolute value is less than 1).

  8. What is the relationship between the Arithmetic Mean (AM) and Geometric Mean (GM) of two positive numbers a and b?

    AM = (a + b)/2, GM = √(ab). AM ≥ GM always (equal only when a = b). Also GM² = AM × HM.

  9. Define a set, and distinguish between the subset (⊆) and proper subset (⊂) symbols.

    A set is a well-defined collection of distinct objects. A ⊆ B means every element of A is in B (A may equal B). A ⊂ B means A is a subset of B and A ≠ B (proper subset).

  10. If a set has n elements, how many subsets and how many proper subsets does it have?

    Number of subsets = 2^n. Number of proper subsets = 2^n − 1 (excluding the set itself). The power set has 2^n elements.

  11. State the formula for n(A ∪ B) and for n(A ∪ B ∪ C) (inclusion–exclusion).

    n(A∪B) = n(A) + n(B) − n(A∩B). n(A∪B∪C) = n(A)+n(B)+n(C) − n(A∩B) − n(B∩C) − n(A∩C) + n(A∩B∩C).

  12. What is the difference between a relation and a function?

    A relation is any set of ordered pairs from A×B. A function is a special relation in which every element of the domain (A) is mapped to exactly one element of the codomain (B).

  13. Define one-to-one (injective), onto (surjective), and bijective functions.

    Injective (one-one): distinct inputs give distinct outputs. Surjective (onto): every element of the codomain is an image of some input. Bijective: both injective and onto (has an inverse).

  14. What is the derivative of x^n, a constant, e^x, and ln x?

    d/dx(x^n) = n·x^(n−1); d/dx(constant) = 0; d/dx(e^x) = e^x; d/dx(ln x) = 1/x.

  15. State the product rule and quotient rule of differentiation.

    Product rule: d/dx(uv) = u'v + uv'. Quotient rule: d/dx(u/v) = (u'v − uv') / v².

  16. State the chain rule of differentiation.

    If y = f(g(x)), then dy/dx = f'(g(x)) × g'(x). In Leibniz form: dy/dx = (dy/du)(du/dx).

  17. How do you find the maxima or minima of a function using calculus?

    Set the first derivative f'(x) = 0 to find critical points. Then use the second derivative: if f''(x) < 0 it is a maximum; if f''(x) > 0 it is a minimum; if f''(x) = 0 the test is inconclusive.

  18. In economics, how are Marginal Cost and Marginal Revenue obtained from Total Cost and Total Revenue functions?

    Marginal Cost = d(TC)/dx and Marginal Revenue = d(TR)/dx. Profit is maximized where MR = MC (and the slope of MC exceeds MR).

  19. State the power rule for integration and the integral of 1/x and e^x.

    ∫x^n dx = x^(n+1)/(n+1) + C (n ≠ −1); ∫(1/x) dx = ln|x| + C; ∫e^x dx = e^x + C.

  20. What does the definite integral ∫(from a to b) f(x) dx represent?

    It represents the net area under the curve y = f(x) between x = a and x = b. By the Fundamental Theorem: ∫(a to b) f(x)dx = F(b) − F(a), where F is an antiderivative of f.

  21. In a number/letter coding-decoding problem, what is the standard place value (rank) of letters A and Z, and the reverse rank of A?

    Forward: A = 1, B = 2, ..., Z = 26. Reverse: A = 26, Z = 1. A useful check: forward rank + reverse rank of any letter = 27 (e.g., opposite of letter at position n is at position 27−n).

  22. In odd-man-out problems, what is the basic approach?

    Identify the common rule or property shared by most items (e.g., all prime, all perfect squares, same difference pattern) and pick the one item that does not follow that rule.

  23. In direction tests, if you face North and turn right, then right again, which direction do you face? Give the clockwise order of directions.

    Facing North, a right turn faces East, another right turn faces South. Clockwise order: North → East → South → West → North. A right turn is clockwise (90°), a left turn is anticlockwise.

  24. In direction sense problems, how is the shortest (straight-line) distance between start and end points calculated?

    Using the Pythagorean theorem: if net horizontal displacement is x and net vertical displacement is y, the shortest distance = √(x² + y²).

  25. What are the main types of seating arrangement problems?

    Linear arrangement (in a row, all facing one direction or facing each other), circular arrangement (facing centre or facing outward), and rectangular/square table arrangements. Direction of facing determines left/right interpretation.

  26. In blood relation problems, who is your father's father's only son, and your mother's brother?

    Father's father's only son = your father. Mother's brother = your maternal uncle. (Key skill: break the chain step by step and track gender.)

  27. What are the main forms of statistical (graphical) representation of data?

    Bar diagram, pie chart (circular diagram), histogram, frequency polygon, ogive (cumulative frequency curve), and line/time-series graphs. Tabulation and textual presentation are non-graphical forms.

  28. What is the difference between an inclusive and an exclusive class interval?

    Exclusive: upper limit of one class equals lower limit of next (e.g., 10–20, 20–30); upper limit not included. Inclusive: limits do not overlap (e.g., 10–19, 20–29); must be converted to exclusive (class boundaries) before drawing a histogram.

  29. Distinguish between a census and a sample survey.

    Census: data collected from every unit of the entire population (complete enumeration). Sample survey: data collected from a representative subset (sample) of the population, then generalized. Sampling saves time and cost but has sampling error.

  30. Differentiate between a parameter and a statistic.

    A parameter is a numerical characteristic of the population (e.g., population mean μ, population SD σ). A statistic is a numerical characteristic computed from a sample (e.g., sample mean x̄, sample SD s) used to estimate the parameter.

  31. Name common probability/random sampling methods.

    Simple random sampling (with/without replacement), stratified sampling, systematic sampling, cluster sampling, and multistage sampling. These are probability sampling methods; quota and convenience sampling are non-probability methods.

  32. State the formulas for Mean, Median (for grouped data), and Mode.

    Mean = Σfx/Σf. Median (grouped) = L + [(N/2 − cf)/f] × h. Mode = most frequent value; grouped Mode = L + [(f1−f0)/(2f1−f0−f2)] × h.

  33. State the empirical relationship between Mean, Median, and Mode.

    Mode = 3 Median − 2 Mean (for a moderately asymmetrical/skewed distribution). For a perfectly symmetrical distribution, Mean = Median = Mode.

  34. What are the main measures of dispersion?

    Range, Quartile Deviation (semi-interquartile range), Mean Deviation, Standard Deviation, and Variance. Range and QD are absolute measures based on position; SD and MD are based on all values.

  35. State the formula for Standard Deviation and Variance for a frequency distribution.

    Variance σ² = Σf(x − x̄)²/N = Σfx²/N − (Σfx/N)². Standard Deviation σ = √(Variance). SD is the positive square root of variance.

  36. What is the Coefficient of Variation and what does it indicate?

    CV = (Standard Deviation / Mean) × 100. It is a relative measure of dispersion used to compare variability of two or more series; a higher CV means less consistency/more variability.

  37. State the classical (mathematical) definition of probability.

    P(A) = (Number of favourable outcomes) / (Total number of equally likely outcomes) = m/n. Probability lies between 0 and 1 inclusive.

  38. State the addition theorem of probability for two events.

    P(A ∪ B) = P(A) + P(B) − P(A ∩ B). For mutually exclusive events, P(A ∩ B) = 0, so P(A ∪ B) = P(A) + P(B).

  39. State the multiplication theorem and the condition for independent events.

    P(A ∩ B) = P(A) × P(B|A). For independent events, P(B|A) = P(B), so P(A ∩ B) = P(A) × P(B).

  40. State Bayes' Theorem and conditional probability formula.

    Conditional: P(A|B) = P(A∩B)/P(B). Bayes: P(Ai|B) = [P(Ai)·P(B|Ai)] / Σ[P(Aj)·P(B|Aj)]. It revises prior probabilities using observed evidence.

  41. State the mean and variance of the Binomial distribution.

    For Binomial B(n, p): Mean = np, Variance = npq (where q = 1−p), Standard Deviation = √(npq). Note: Mean > Variance always (since q < 1).

  42. State the conditions/properties of a Binomial distribution.

    Fixed number of trials n; each trial has only two outcomes (success/failure); constant probability p of success; trials are independent. P(X=r) = nCr · p^r · q^(n−r).

  43. State the mean and variance of the Poisson distribution.

    For Poisson with parameter m: Mean = Variance = m. P(X = r) = (e^(−m) · m^r)/r!. It is the limiting case of binomial when n→∞, p→0, np = m (rare events).

  44. State the key properties of the Normal distribution.

    Bell-shaped and symmetrical about the mean; Mean = Median = Mode; total area = 1; defined by μ and σ. Empirical rule: about 68% of data lie within μ ± σ, 95% within μ ± 2σ, 99.7% within μ ± 3σ.

  45. What is the standard normal variate (z-score) and its distribution parameters?

    z = (x − μ)/σ. The standard normal distribution has mean = 0 and standard deviation = 1. The z-score measures how many standard deviations a value is from the mean.

  46. What does the correlation coefficient (r) measure and what is its range?

    It measures the degree and direction of linear relationship between two variables. r ranges from −1 to +1: +1 = perfect positive, −1 = perfect negative, 0 = no linear correlation.

  47. State the formula for Karl Pearson's coefficient of correlation.

    r = Σ(x−x̄)(y−ȳ) / √[Σ(x−x̄)²·Σ(y−ȳ)²], or r = [nΣxy − ΣxΣy] / √{[nΣx² − (Σx)²][nΣy² − (Σy)²]}.

  48. State the formula for Spearman's rank correlation coefficient.

    R = 1 − [6Σd²] / [n(n² − 1)], where d = difference between ranks of paired items and n = number of pairs.

  49. What are the two regression coefficients, and how do they relate to r?

    byx = r·(σy/σx) (regression of y on x) and bxy = r·(σx/σy) (regression of x on y). Their product byx × bxy = r², so r = ±√(byx × bxy) (sign same as the regression coefficients).

CA Foundation PAPER 3: QUANTITATIVE APTITUDE FAQ

What is in the CA Foundation PAPER 3: QUANTITATIVE APTITUDE syllabus?

CA Foundation PAPER 3: QUANTITATIVE APTITUDE is split into 3 chapters: BUSINESS MATHEMATICS, LOGICAL REASONING and STATISTICS. Together they contain 18 topics and 47 sub-topics.

How many chapters are in CA Foundation PAPER 3: QUANTITATIVE APTITUDE?

3 chapters, containing 18 topics and 47 sub-topics. The largest chapter is BUSINESS MATHEMATICS, with 8 topics.

Are there flashcards for CA Foundation PAPER 3: QUANTITATIVE APTITUDE?

Yes — a 69-card PAPER 3: QUANTITATIVE APTITUDE deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.