Business Statistics DU 3rd Semester (DSC-3.1)

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About Course

Complete Exam-Ready Course for Delhi University Students

Are you in 3rd Semester at Delhi University, (Bcom Prog./Bcom Hons.) and struggling to prepare for your Business Statistics exam?

This one complete course gives you everything you need to score 100% Full marks, even if you haven’t studied a single chapter yet.

This is not just another theory course. It’s a targeted, exam-oriented program built strictly as per DU syllabus — designed to make you exam-ready in minimum time with maximum understanding.

 
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What Will You Learn?

  • 📘 Made for DU Students, by DU Experts
  • Content strictly aligned with University of Delhi syllabus and paper pattern.
  • 🎯 Guaranteed Exam Success
  • Study smart with the exact material DU examiners expect — no extra theory, only what scores marks.
  • ⏱️ Time-Saving & Fully Structured
  • Every unit, topic, and concept explained in the same order as your DU textbook, so you don’t get lost.
  • 💻 Learn Anytime, Anywhere
  • Access lectures 24×7 from your phone or laptop — at your own pace.
  • 🔥 Enroll Now – Limited Seats for Live Guidance Batch!
  • 🚀 Don’t risk your semester marks. Join now and turn your DU exam into a guaranteed success story.

Course Content

Unit 1: Descriptive Statistics
Measures of Central Tendency: Concept and properties of averages including Arithmetic mean, Median and Mode. Measures of Dispersion: An overview of Range, Quartile Deviation and Mean Deviation; Standard deviation; Variance and Coefficient of variation. Moments: Computation and significance; Skewness; Kurtosis.

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Unit 2: Probability and Probability Distributions
Theory and approaches to probability; Probability Theorems: Addition and Multiplication; Conditional probability and Bayes’ Theorem. Expectation and variance of a random variable. Discrete Probability distributions: Binomial and Poisson (Properties and Applications). Normal distribution: Properties of Normal curve; Computation of Probabilities and Applications.

Unit 3: Simple Correlation and Regression Analysis
Correlation Analysis: Meaning and types of Correlation; Correlation Vs Causation; Pearson’s coefficient of correlation (computation and properties); Probable and standard errors; Rank correlation. Regression Analysis: Principle of least squares and regression lines; Regression equations and estimation; Properties of regression coefficients; Relationship between Correlation and Regression coefficients; Standard Error of Estimate.

Unit 4: Time Series Analysis
Time Series Data; Components of time series; Additive and Multiplicative models. Trend analysis; Fitting of trend using principle of least squares – linear and seconddegree parabola. Shifting of Origin and Conversion of annual linear trend equation to quarterly/monthly basis and vice-versa.

Unit 5: Index Numbers
Meaning and uses of index numbers. Construction of Index numbers: Methods of Laspeyres, Paasche and Fisher’s Ideal index. Construction and Utility of Consumer Price Indices; BSE SENSEX, and NSE NIFTY.

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