Topic outline

  • General description

    The course provides students with special and profound knowledge in main topics of applied statistics and also the due and the necessary statistical approaches for the decision making operation, also how it can analyze the systematic and the random errors, how it can remove the outlier or the singular points of the statistical data or from any measured or experimental data. At the end of the course, students can manipulate and manage with essential knowledge and comprehension in descriptive and inference statistics and in its applications and aims, also how it can use the applied statistics to solve real problems and taking a decision about, finally an essential knowledge about the quantitative analysis operation.