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Inferential statistics

Course Description: The course includes the knowledge, skills, and practical aspects of the logical foundations of inferential statistics, including the concept of sampling distribution, its use in statistical estimation, hypothesis testing, and the differences between parametric and non-parametric statistics. The course also covers how to transform research questions and hypotheses into statistical hypotheses, select appropriate analysis methods, conduct manual analysis and analysis using statistical software, and present and interpret the analysis results. The course focuses on parametric and non-parametric tests for differences between means, analysis of variance, as well as correlation coefficients and regression analysis.
Credit hours: 3
Objectives of the course :

The course aims to equip students with the necessary knowledge, information, and skills for:
• Introduce students to statistical concepts related to generalizing from sample data to population data,
• Select statistical previews.
• Transforming research questions and assignments into statistical hypotheses,
• Selecting statistical methods manually and using statistical computer software.
• Interpretation of data analysis results.

Course outputs :

Retrieval of the intended meaning of various statistical concepts. .
Understanding the nature and role of statistics in scientific research.
Understanding the differences between research hypotheses and statistical hypotheses, and the errors in their verification.
Formulating statistical hypotheses.
Statistical hypothesis testing.
Choosing the appropriate statistical method. .

Additional information:
  • Last updated: 2026-04-26

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