
Logical & Analytical Reasoning — Exam & Recruitment Prep
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This CA Foundation Quantitative Aptitude session is built as a complete revision run for the January 2027 attempt, taught by Anurag Chauhan. It covers mathematics, statistics and logical reasoning in one sitting, with the timestamps showing a chapter order that runs for more than ten hours.
Candidates who already studied the syllabus and need a long, structured recap close to the exam. The timestamp list is detailed, so it is easy to jump to a weak topic. The session is less useful for a first pass through the material, because each section is covered briefly in a marathon format.
Ace your CA Foundation Jan 2027 preparation with this Full Day Quantitative Aptitude Marathon by Anurag Chauhan. This complete revision session covers the most important topics from CA Foundation QA, including Mathematics, Statistics, and Logical Reasoning, with concept clarity, shortcut tricks, PYQs, and exam-oriented practice. Perfect for last-minute revision and boosting your confidence before the exam.
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Time Stamp:
00:00 - Intro & Session Motivation
13:18 - Mathematics of Finance
15:35 - Simple Interest
41:51 - Compound Interest
1:09:12 - Effective Rate of Interest
1:12:00 - Annuity & Sinking Fund
1:21:46 - Loan Amortization
1:23:51 - NPV
1:30:00 - Bond Valuation
1:42:04 - CAGR
1:46:57 - Central Tendency & Dispersion
2:23:17 - Quartiles & Percentiles
2:35:03 - Standard Deviation & Variance
3:28:33 - Data Description
3:44:40 - Data Collection
4:00:15 - Data Presentation
4:12:56 - Frequency Distribution
4:38:00 - Sampling
4:53:18 - Parameter vs. Statistic
4:56:07 - Types of Sampling
5:12:50 - Standard Error
6:07:08 - Permutations & Combinations
6:49:21 - Circular Permutation
6:54:22 - Combinations
7:10:02 - Committee Formation
7:12:46 - Geometry Applications
7:19:40 - Grouping & Distribution
8:09:42 - Equations & Inequalities
8:24:39 - Demand & Supply Equilibrium
8:27:10 - Quadratic Equations
8:34:49 - Cubic Equations
9:11:07 - Formation of New Equations
9:21:28 - Linear Inequalities
9:30:50 - Graphing Inequalities
10:00:00 - Correlation & Regression
10:03:02 - Covariance & Pearson’s Coefficient
10:06:58 - Rank Correlation
10:10:56 - Regression Lines
10:12:35 - Regression Coefficients
10:14:12 - Properties of Regression Lines
10:18:18 - Change of Origin & Scale
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