21DS41 Dayananda Sagar University • CSE — Data Science (Semester 4)

Statistical Inference and R Programming

💡 DSU Exam Strategy & Guidance

Parametric and Non-parametric tests, ANOVA (One-way and Two-way), Linear Regression modeling in R, and Data Wrangling using dplyr/ggplot2.

High-Yield Passing Strategy: Solve ANOVA table sum of squares numerical calculations and write basic R ggplot code snippets.
Most Repeated Question Topics:
One-Way and Two-Way ANOVA CalculationsSimple & Multiple Linear Regression in RData Manipulation with dplyr (filter, mutate, group_by)Confidence Intervals and P-Value Interpretation

🔥 Most Predictable Exam Questions (1)

Guaranteed Every Year 8 Marks Module 3: Analysis of Variance (ANOVA)

Q1. Perform a One-Way ANOVA test to determine if 3 training methods result in significantly different performance scores across groups (Group 1: [8, 10, 12], Group 2: [6, 8, 7], Group 3: [14, 16, 15]) at alpha = 0.05.

Key Points: Calculate Grand Mean, Sum of Squares Between (SSB), Sum of Squares Within (SSW), Degrees of Freedom (df_between = k-1 = 2, df_within = N-k = 6), Mean Squares (MSB, MSW), and F-statistic F = MSB / MSW. Compare with critical F_crit(2, 6).

🎓 Open Source Courses & Video Playlists (2)

Harvard University

Harvard CS109: Data Science (Statistics & R)

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YouTube (StatQuest)

StatQuest: Statistics Fundamentals in R

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📄 Previous Year Question Papers (1)

END_SEM • 2024

End Semester Exam 2024

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