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HU Credits:
0
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Prep. - Humanities & Social Sciences Track
Semester:
Yearly
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Mr. Ilan Tsitsianov
Coordinator Office Hours:
Teaching Staff:
Mr. Ilan Tsitsianov
Course/Module description:
The course presents the basic principles of data analysis, descriptive statistics, basic concepts of probability, basic concepts in statistics and the main ideas of statistical inference.
Course/Module aims:
The aim of the course is to provide students with an understanding of basic concepts in statistics, and the basic ability to interpret and analyze quantitative data.
Learning outcomes - On successful completion of this module, students should be able to:
Describing and organizing quantitative information, generalizing from a sample to the population, making statistical inference, explaining statistical finding.
Attendance requirements(%):
100%
Teaching arrangement and method of instruction:
Lectures followed with practice sessions.
Three quizzes will be given in each semester.
Course/Module Content:
1. Descriptive Statistics- Describing and organizing quantitative information, Measures of central tendency, Measures of Dispersion, Pearson’s correlation, Normal distribution.
2. Basic concepts in Probability- introduction to probability and set theory, random variables: expectation and variation.
3. Principles in sampling and estimation- Distribution of sample’s sum and average, central limit theorem, confidence interval for mean and proportion.
4. Hypothesis testing- defining hypotheses, type I error, type II error, p-value, power calculation.
Required Reading:
1. פולק משה. חושבים אחרת – המבוא הידידותי לסטטיסטיקה. הוצאת ספרים ע"ש י"ל מאגנס, 2012.
2. מבוא לסטטיסטיקה לתלמידי מדעי החברה – א' (כרך ראשון – סטטיסטיקה תיאורית, כרך שני - הסתברות). הוצאת האוניברסיטה הפתוחה, 1993, 1995.
3. סטטיסטיקה חברתית לחברה מגוונת (תרגום: פרנקפורט-נחמיאס ולאון גררו) – הוצאת האוניברסיטה הפתוחה, 2014.
4. ורדה ליברמן ועמוס טברסקי. חשיבה ביקורתית – שיקולים סטטיסטיים ושיפוט אינטואיטיבי. הוצאת האוניברסיטה הפתוחה, 1996.
5. R. Falk. Understanding probability and statistics – A book of problems. A.K. Peters, 1993
6. J. M. Utts. Seeing Through Statistics, 2nd edition. Duxbury Press, 1999
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 65 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 0 %
Quizzes 35 %
Other 0 %
Additional information:
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