• To learn and perform statistical analysis of data related to civil engineering research and projects.
  • To learn and perform probability analysis of data related to civil engineering research and projects.


CLO: 1. To explain the use of descriptive techniques to describe the statistical data.
CLO: 2. to solve statistical problems in engineering by sciences using concepts and methods of probability theory.
CLO: 3. to clarify the analysis of civil engineering problem solved by statistical methods.
CLO: 4. to use statistical tools (MS Excel and Mat Lab) for the presentation of the statistical data.


  1. Presentation of Data and Measures of Central Tendency
    • Classification, tabulation, classes, graphical representation, histograms, frequency polygons, frequency curves and their types
    • _Arithmetic Mean (A.M), Geometric Mean (GM), Weighted mean, median,quartiles, mode and their relations, Merits and demerits of Averages
  2. Measures of Dispersion
    • Range, moments, skewness, quartile deviation
    • Mean deviation
    • Standard deviation
    • Variance and its coefficients
  3. Curve Fitting and Simple Regression
    • Goodness of fit
    • Scatter diagram
    • Fitting a straight line
    • Linear regression and correlation
  4. Probability and Random Variable
    • Definitions, sample space, events
    • Laws of probability, conditional probability
    • Dependent and independent events
  5. Probability Distribution
    • Introduction, distribution function
    • Discrete random variable and its probability distribution (Binomial, Poisson)
    • Continuous random variable and its probability density function, uniform, and normal distribution functions
    • Mathematical expectation of a random variable
  6. Introduction to Softwares
    • Microsoft Excel
    • Matlab