Statistics and Probability (MTCE2072)

None

Statistical Methods For Engineer, McCuen R. P. H., Latest Edition

Basic Statics For Business & Economics, Doughlas A Lind, Latest Edition

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

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

CLO:1 Learn and perform statistical analysis of data related to civil engineering research and projects.

CLO:2 Learn and perform probability analysis of data related to civil engineering research and projects.

CLO:3 Be able to use soft wares i.e. Microsoft excel, Microsoft access and Matlab for complex problems having huge data.

• Classification, tabulation, classes, graphical representation, histograms, frequency polygons, frequency curves and their types
• Means: Arithmetic Mean (A.M), Geometric Mean (GM), Harmonic Mean (HM), and their properties, Weighted mean, median, quartiles, mode and their relations, Merits and demerits of Averages

• Range, moments, skewness, quartile deviation
• Mean deviation
• Standard deviation
• Variance and its coefficients, kurtosis

• Goodness of fit
• Fitting a straight line, parabola, circle
• Scatter diagram
• Linear regression and correlation

• Definitions, sample space, events.
• Laws of probability, conditional probability
• Dependent and independent events

• Introduction, distribution function, discrete random variable and its probability distribution
• Continuous random variable and its probability density function
• Mathematical expectation of a random variable
• Moment generating functions
• Binomial, Poisson, uniform, exponential and normal distribution functions and its approximation to Poisson distribution

• Microsoft Excel
• Microsoft Access
• Matlab