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This course provides conceptual understanding of statistics and its importance in real life, also its relationship with other majors. In addition, this course identifies all necessary statistical concepts and procedures that can be used to describe the data, such as measures of central tendency, measures of dispersion, correlation and simple linear regression.
  
This course provides conceptual understanding of statistical procedures that have been used in analyzing the data after determining the kind of data at hand. In addition, this course identifies the random variable and its probability function, finding the sampling distribution for one mean and the difference between two means and for a population proportion and the difference between two proportions. Also, estimating population parameters and testing hypotheses about those parameters.
  
This course aims at providing students with basic skills and tools needed in scientific research. These skills include: determining the research problem, describing the variables and data collection, choosing the appropriate research design, analyzing the data and writing the final report. Also, this course provides the statistical techniques needed for analysis with the aids of the statistical package SPSS.
  
This course aims at providing students with basic skills and tools needed in multivariate statistical analysis. These skills include: defining the model, describing the variables, choosing the appropriate design and analyzing the data. This course contains the following: Simple linear regression, Multiple regression and variable selection, Discrimintant analysis, Logistic regression, Principle component analysis, Factor analysis, Canonical correlation analysis and cluster analysis. Throughout the course, SPSS will be used to assist students in the phase of analyzing and interpreting the data.