his course introduces the student to basic concepts in descriptive statistics, by introducing him to methods of collecting and organizing data, methods of presenting them in frequency tables, and representing these tables with an appropriate graph, as well as introducing the student to methods of analyzing data using measures of central tendency, measures of dispersion, measures of skewness and flatness, and comparing characteristics of these different scales.
Intended learning outcomes
1. Learn about commonly used terms and synonyms in the field of statistics and the types of statistical data collected from the study.2. Explanation of the measures of central tendency and their use and on the homogeneity and dispersion of statistical data through knowledge of the most important measures of dispersion.3. To clarify the distribution of statistical data by knowing the most important measures of skewness and kurtosis4. Distinguishing between the types of statistical data and the characteristics of each of them, and studying the relationships between the phenomena under study.5. Analyzing statistical data to solve some economic, social and health problems6. Interpretation and analysis of statistical results and graphing of statistical data7. To distinguish between the statistical data collected from previous studies.To use different statistical measures to represent the data and to find the relationship between them
Teaching and learning methods
The course will be presented to the student through lectures, panel discussions, or assignments and exercises, discussion and dialogue
Methods of assessments
Term work 40% and final 60%Term work: divided between written midterm exams, assignments and assignmentsWritten final exam
