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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Public Policy
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Dmitry Epstein
Coordinator Office Hours:
Teaching Staff:
Dr. Dimitry Epstein
Course/Module description:
The course introduces basic concepts in statistics, and focuses on understanding and preforming statistical methods.
Course/Module aims:
To introduce basic concepts of descriptive statistics and statistical inference, and to develop the ability to evaluate results of statistical analysis.
Learning outcomes - On successful completion of this module, students should be able to:
1. To explain the purpose and use of statistical analysis.
2. To understand statistical outcomes.
3. To evaluate results from statistical analysis.
Attendance requirements(%):
Teaching arrangement and method of instruction:
Lectures and independent practice.
Course/Module Content:
1. Descriptive statistics.
2. Introduction to probability theory.
3. Statistical inference
4. Statistical hypothesis testing.
5. Estimating and
6. t- tests.
7. One way and two way ANOVA.
8. Linear regression.
9. Multiple regression and regression with dummy variables.
Required Reading:
None
Additional Reading Material:
Pollak, M. (2012). Thinking differently, the friendly introduction to statistics. Magnes, Jerusalem.
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 15 %
Project work 0 %
Assignments 30 %
Reports 25 %
Research project 0 %
Quizzes 30 %
Other 0 %
Additional information:
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