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Syllabus INTRODUCTION TO PROBABILITY AND DESCRIPTIVE STATISTICS - 71025
עברית
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Last update 27-08-2024
HU Credits: 2

Degree/Cycle: 1st degree (Bachelor)

Responsible Department: Environmental Economics & Management

Semester: 2nd Semester

Teaching Languages: Hebrew

Campus: Rehovot

Course/Module Coordinator: Dizza Bursztyn

Coordinator Email: dizza.bursztyn@mail.huji.ac.il

Coordinator Office Hours: Tuesday 11-12

Teaching Staff:
Dr. Dizza Bursztyn,
Mr. Shlomo Akiva Levin,
Dr. hadas Don

Course/Module description:
During the course we shall learn: probability, conditional probability, random variables, normal distribution and central limit theorem.
Descriptive statistics using JMP and Excel (self-learning)

Course/Module aims:
To provide basic statistical tools in probability and descriptive statistics using JMP and Excel software

Learning outcomes - On successful completion of this module, students should be able to:
Knowledge in probability calculations.
Use of graphical presentations and descriptive statistics in order to describe and summarize data.
Basic knowledge of JMP and Excel

Attendance requirements(%):
100

Teaching arrangement and method of instruction: Lectures, frontal exercise, homework

Course/Module Content:
Events, definition of probability, conditional probability, random variables, binomial distribution, normal distribution, central limit theorem, descriptive statistics: type of variables, frequency tables, graphical presentation, scale and dispersion parameters, percentiles

Required Reading:
Eizenbach Ronit: Statistics for non-statisticians.
Open university: Introduction to statistics and probability for social sciences students a (unit 1-8)
Introduction to statistics and probability for social sciences students b (unit 9)

Additional Reading Material:
Sall: JMP Start Statistics
Leviatan and Raviv: Introduction to probability and statistics (vol 1): Probability

Grading Scheme :
Written Exam % 85
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 5 %
Other 10 %

Additional information:
The student should self-learn Excel. A test will be held in Excel, the weight of the test is 10%
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
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