Calendar
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Quantitative Aptitude - Calendar
Learn to compute weekdays for any date using odd-day cycles, century codes, and leap-year rules.
1. Concepts & Definitions
- Odd Day: Extra days beyond complete weeks (7-day cycles).
- Century Cycle: 400 years = complete cycle → 0 odd days; 100 → 5; 200 → 3; 300 → 1 odd day.
- Month Codes: Jan = 0, Feb = 3, Mar = 3, Apr = 6, May = 1, Jun = 4, Jul = 6, Aug = 2, Sep = 5, Oct = 0, Nov = 3, Dec = 5.
- Leap Year: Year divisible by 4; if century, must be divisible by 400. For Jan/Feb of a leap year, subtract 1.
2. Step-by-Step Calculation
- Write date (D), month code (M), year (YY), century code (C): C for 2000s = 6, 1900s = 0, 1800s = 2, 1700s = 4.
- Compute Year Code = YY + floor(YY/4).
- Total = D + M + Year Code + C - (leap correction).
- Day Index = Total mod 7 → 0 = Sunday, 1 = Monday, … 6 = Saturday.
3. Worked Example
Date: 15 Aug 1947
- D = 15, M = 2 (August), YY = 47, C = 0 (1900s)
- Year Code = 47 + floor(47/4) = 58
- 15 + 2 + 58 + 0 = 75; Not leap → no correction
- 75 mod 7 = 5 → Friday
4. Exam Tips
- Always adjust the month code for leap-year Jan/Feb only.
- Memorize century cycle codes; missing century code causes ±1-2 day errors.
- Practice across leap-year boundaries and centuries.
5. Pitfalls to Avoid
- Forgetting leap adjustment when date falls in Jan/Feb of a leap year.
- Using wrong century code-e.g., treating 1900 as leap year erroneously.
6. Quick Revision Checklist
- Memorize month and century codes.
- Practice with ~25 dates (contemporary, past, and future).
Summary: Date → sum codes → mod 7 → map to weekday. Ensure correct leap-year handling for Jan/Feb.
Topics
- Number System
- H.C.F. & L.C.M.
- Decimal Fractions
- Simplification
- Square Roots & Cube Roots
- Average
- Problems on Ages
- Percentage
- Profit & Loss
- Ratio & Proportion
- Time & Work
- Pipes & Cistern
- Time & Distance
- Problems on Trains
- Boats & Streams
- Simple Interest
- Compound Interest
- Area
- Volume & Surface Areas
- Mensuration
- Calendar
- Clocks
- Algebra
- Work & Wages
- Geometry (Lines, Angles, Triangles, Polygons)
- Data Interpretation
- Trigonometry
- Statistics (Mean, Median, Mode)