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HU Credits:
4
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Economics
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Sarit agami
Coordinator Office Hours:
Sunday at 18:15. Officae: 4208
Teaching Staff:
Dr. Sarit Agami,
Mr. yosef dinin,
Ms. ruth zussman
Course/Module description:
1. Statistical tools for describing and analyzing data, and in particular relationships between variables
2. The basics of probability
3. Sampling and estimation of parameters in the population.
Course/Module aims:
Providing basic knowledge in statistics and tools for statistical inference.
Learning outcomes - On successful completion of this module, students should be able to:
1. To describe and analyze a data file
2. To calculate probabilities
3. To estimate parameters in the population using a sample
Attendance requirements(%):
0
Teaching arrangement and method of instruction:
Frontal teaching in the classroom and solving exercises.
Course/Module Content:
* Descriptive statistics: graphical displays, measures for location and dispersion, measure for relative location, covariance, correlation.
* Probability
- basic concepts, probability calculations, conditional probability, independence, complete probability, Bayes formula.
- One-dimensional random variable: general, binomial, Poisson, exponential, normal
- Two-dimensional random variable: joint distribution, conditional distribution, covariance, Pearson.
* Sampling: definition, Markov inequality, Chebyshev inequality, the weak law of large numbers, the central limit theorem,
* Estimation of population parameters
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).
* Probability: Introduction to Probability and Statistics, Thelma Leviathan, Alona Raviv (In Hebrew).
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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