• 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.

[/vc_column_text][vc_custom_heading text=”COURSE LEARNING OUTCOMES (CLO)” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes”][vc_column_text]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.
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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

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