Applied Statistics

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KHUDKIBOOK
APPLIED STATISTICS 3716503
FREE PDF 3716503
Code: 3716503 Credits: 4 Semester 1 CE

Applied Statistics

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Applied Statistics Syllabus — Unit-wise Content

The official GTU curriculum for Applied Statistics (subject code 3716503) as prescribed for CE · Semester 1 divides the course into 6 units, covering 37 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (3716503)

Unit 1 MODULE 1

12 lecture hours

  • Probability Distributions : Probability mass functions and probability density function
  • mean and variance
  • Lognormal and normal distribution: Fitting of the distributions

Unit 2 MODULE 2

11 lecture hours

  • Sampling techniques : Simple random sampling
  • stratified sampling
  • systematic sampling
  • sample size determination- application in Environmental Engineering
  • Regression and correlation : Linear Regression and correlation
  • multiple correlation coefficient
  • standard error of estimate
  • curvilinear regression- Applications

Unit 3 MODULE 3

  • Statistical inference : Intervals estimation
  • Confidence interval for mean
  • variances and regression coefficients
  • Sampling Distribution
  • Test of significance of (i) Means (ii) Mean of two samples (iii) Proportions (iv) 11 Subject Code : 3716503 Subject Name : Applied Statistics Variance (v) Two variances (vi) Two observed correlation coefficients (Fishers' z-transformation)
  • (vii) Paired T-test (viii) Regression coefficients (ix) Chi- square test of goodness of fit, Skewness and Kurtosis tests

Unit 4 MODULE 4

  • Applications : Analysis of variance (i) Completely randomized designs (ii) Randomized block designs
  • Latin squares
  • Grecco Latin square design
  • Factorial experiments
  • Graphical presentation techniques
  • Scilab software. 11 References : 1
  • C. and Kapoor.V.K
  • Fundamentals of Mathematical Statistics
  • Sultan Chand and Sons
  • R and Come11.C
  • Statistics and Decision for Civil Engineers
  • Mc-Graw Hill. 3
  • Traffic Engineering and Transport Planning
  • Khanna Publishers. 4
  • Martin and Martin
  • Traffic Systems analysis for Engineers and Planners
  • Mc-Graw Hill

Unit 5 Richard.A. Johnson

  • Miller and Freunds
  • Probability and Statistics for Engineers (6th edition)Pearson

Unit 6 Elhance

  • fundamentals of Statistics

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