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HU Credits:
4
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Economics
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Sarit Agami
Coordinator Office Hours:
Wednesday at 14:00, Teva Hall 3
Teaching Staff:
Dr. Sarit Agami,
Mr. Tal Asif,
Mr. Ron Taieb
Course/Module description:
- Statistical inference based on estimation and hypothesis testing of parameters that describe the population or a discrete/continuous random variable.
- Statistics in R software.
Course/Module aims:
Tools for statistical inference
Learning outcomes - On successful completion of this module, students should be able to:
Statistical inference via estimation and hypothesis testing
Attendance requirements(%):
Teaching arrangement and method of instruction:
Course/Module Content:
I. Estimation and hypotheses testing:
Point estimation and confidence interval of: Mean, variance, proportion, means difference, proportions difference.
Hypothesis testing: a. General: Description, errors in hypothesis testing, test’s power
b. Hypothesis testing according to decision rules and according to p-value for:
* Mean and proportion - single sample
* From two independent samples: two means, two proportions, two variances. Two means of a paired sample
* Chi- squared test for goodness of fit, and for independence of frequency table.
II. Statistical theory of estimators
Theoretical properties of estimator: unbiased / bias, consistency, efficiency.
Methods for point estimation:
* Method of maximum likelihood
* Method of moments
* Least squared method.
III. Continuous random variable:
One-dimensional and two-dimensional continuous variable, with reference to the function of density, expectation, variance. Statistical theory of estimators in the context of a continuous random variable.
Required Reading:
none
Additional Reading Material:
* Introduction to Statistics and Probability, Shmuel Zamir and Ruth Bate Marom, Open University Press (In Hebrew).
* Introduction to Statistics without Statisticians, Ronit Eisenbach (In Hebrew).
* Statistical Theory, Esther Samuel-Cohen (In Hebrew).
* Probability, Thelma Leviathan, Alona Raviv.
Course/Module evaluation:
End of year written/oral examination 70 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 5 %
Reports 0 %
Research project 0 %
Quizzes 25 %
Other 0 %
Additional information:
Each week an exercise will be given. At least 10 exercises must be submitted during the semester, the weight of the grade on the exercises will be 5% of the final grade, as a protective grade.
During the course there will be two exams. The weight of each exam will be 12.5% of the final grade, as a protective grade.
* The lessons will be recorded, and the lesson recordings will be available to all students at any time.
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