Fundamental Concepts of Statistics

• Definition of statistics and its importance in administrative, economic, and organizational fields.

• Types of statistics: descriptive statistics and inferential statistics.

• Statistical populations, samples, variables, and statistical data.

Data Collection and Classification

• Primary and secondary data sources and their respective characteristics.

• Data collection methods using questionnaires, records, and official sources.

• Classification of quantitative and qualitative data and identification of measurement scales.

Data Organization and Statistical Presentation

• Data tabulation and the preparation of frequency tables and statistical distributions.

• Developing one-way and multi-way statistical tables.

• Organizing data according to classes, frequencies, and percentages.

Graphical Representation of Statistical Data

• Types of statistical graphs and their applications in data presentation.

• Preparing bar charts, line graphs, and pie charts.

• Selecting appropriate visual presentation methods according to data characteristics and indicators.

Measures of Central Tendency

• Arithmetic mean, median, and mode and the characteristics of each measure.

• Using measures of central tendency to summarize and analyze data.

• Selecting the appropriate statistical measure according to data characteristics and distribution.

Measures of Dispersion and Statistical Distribution

• Range, variance, standard deviation, and coefficient of variation.

• The concept of normal distribution and the characteristics of statistical distributions.

• Interpreting data dispersion, variability, and the degree of data consistency.

Statistical Analysis and Inferential Methods

• Sampling concepts and statistical sampling techniques.

• Principles of statistical estimation and confidence intervals.

• Hypothesis testing and statistical significance levels.

Analysis of Statistical Relationships and Trends

• The concept of correlation, its types, and measurement methods.

• Linear regression and its application in examining relationships between variables.

• Time-series trend analysis, growth rates, and statistical changes.

Statistical Report Preparation and Analysis Results Organization

• The basic structure of statistical reports and their main components.

• Methods of presenting findings through tables, charts, and statistical indicators.

• Preparing statistical summaries and interpreting results objectively.

Statistical Report Quality and Decision-Making

• Standards of accuracy, consistency, and reliability in statistical reports.

• Identifying errors and inconsistencies and verifying data and results quality.

• Using statistical reports and indicators in planning, performance evaluation, and administrative decision-making.