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CA Foundation Statistics (Part 3 of Paper 3) covers 40 marks, focusing on data description, central tendency, dispersion, probability, correlation, regression, and index numbers. Key topics include Mean/Median/Mode, Standard Deviation, Probability Distributions, and Pearson’s Correlation Coefficient. It requires a strong grasp of formulas for MCQ-based calculation, with focus on Measures of Central Tendency and Dispersion for ~20 marks.
Key Topics in CA Foundation Statistics
    • Statistical Description of Data: Collection, organization, and representation of data (sampling, tables, graphs).
    • Measures of Central Tendency and Dispersion: Arithmetic mean, geometric mean, harmonic mean, median, mode, range, quartile deviation, mean deviation, and standard deviation.
  • Probability: Basic concepts, conditional probability, and expected value.
  • Theoretical Distributions: Binomial, Poisson, and Normal distributions.
  • Correlation and Regression: Pearson’s correlation, Spearman’s rank correlation, and regression lines.
  • Index Numbers: Price index numbers, cost of living index, and tests of consistency.
Important Formulas & Concepts
  • Relationship: 
  • Standard Deviation Property: SD remains unchanged by shift of origin but changes by change of scale.
  • Relationship between Mean, Median, and Mode: 

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Courses Title
Ca (F) |April 2026 | : Statistics
Language
Not specified
Course Level
Beginner
Reviews
0
Quizzes
481
Duration
Students
0
Certifications
Yes
Start Time
29 Apr, 2026
Instructor
ISHMEET KAUR
Start Learning
  • Beginner
  • April 29, 2026 Last Updated

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