This course aims to build knowledge and become fully acquainted with the scientific development of the science of statistics through identifying the second branch of the science of statistics, which is statistical inference. This is done by getting acquainted with the concept of statistical methods, their nature and principles in a comprehensive manner from the study and analysis of life phenomena, and by reaching rational and objective statistical decision-making. Realizing the priorities of statistical applications and standing on their importance. It also aims to apply statistical concepts to study sampling distributions and their properties. It aims to study point estimation and period estimation about community features that are usually unknown, especially in large and unlimited societies. Study the most important statistical tests and how to use them in the scientific and applied fields
Intended learning outcomes
Among the most important outputs that the student acquires after passing this course are:
1. Using the appropriate statistical method to skillfully treat different data.
2. Applying statistical tests in various fields.
3. Linking methods for finding confidence intervals and methods for testing hypotheses.
4. Comparing hypothetical tests and making the appropriate statistical decision.
5. Formulating research hypotheses and testing them in a sound statistical manner accurately
Teaching and learning methods
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Lectures
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Panels
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Solving exercises
Methods of assessments
The student is evaluated during the
semester based on:
• The result of the midterm exam,
for which 20 marks are allocated.
• As a result of continuous duties
during the semester with an average of 10 assignments, and 10 grades are
allocated to them
• The result of the worksheet in
which the student uses what has been studied throughout the semester, and
allocates 10 marks to it
• The result of the final exam, for
which 60 marks are allocated.
