المواد الدراسية

Have knowledge of elementary probability and probability distributions - Summarize data by a suitable statistic - Graphical presentation of data including Box plot - Ability to use the z and t tests for one and two samples - Conduct hypothesis tests...
Introduction to Sample space, Random events, Probability rules, Conditional probability, Baye’s rule Definition of Random variables, Discrete and Continuous distribution Definition of the mean (mathematical expectation) and the variance of a random...
Introduction to Sample space, Random events, Probability rules, Conditional probability, Baye’s rule Definition of Random variables, Discrete and Continuous distributions. Definition of the mean (mathematical expectation) and the variance of a...
Introduction to Bio-Statistics, types of data and graphical representation. Descriptive statistics: Measures of Central tendency- Mean, median, mode, Measures of dispersion-Range, Standard deviation, coefficient of variation. Calculating Measures...
Some Statistical distributions - Sampling distributions - Central limit theorem - Chebychev's inequality - Interval estimation - Testing hypotheses (two populations case) - Introduction to experimental designs (CRD and RBD)- Analysis of variance (...
Simple and Multiple regression models - Non-Linear regression models - Dummy Variables - Multicollinearity Problem-Identification Errors - Generalized Least Square Method – Heteroscedasticity Problem - Autocorrelation Problem - Time series models-...
Outline Stat 332Regression AnalysInstructor:  Dr. Mohamed AbdelkaderOffice: 2B27 Building #4,  Phone (office): 76269  E-mail:  aabdelkader1.c@ksu.edu.sa       Textbook:  Applied Linear Regression Models, Fifth Edition by Kutner, Nachtsheim and...