HU Credits: 3

Degree/Cycle: 1st degree (Bachelor)

Responsible Department: Psychology

Semester: 1st Semester

Teaching Languages: Hebrew

Campus: Mt. Scopus

Course/Module Coordinator: Yoni Pertzov, PhD

Coordinator Email: pertzov@gmail.com

Coordinator Office Hours: First Semester Sunday, 13:00-14:00. Second Semester Sunday, 10:30-11:15

Teaching Staff:
Prof Yoni Pertzov,
Ms. Rina Schwart,
Ms. Hadar Arnon,
Ms. Zoe Salzer,
Mr. zlotnick elad,
Ms. Sorka Hila,
Ms. louise twito,
Mr. daniel mandelbaum,
Ms. yael bark

Course/Module description:
The course focuses on statistical ideas and reasoning, describing research data and Laying the foundations for statistical modeling.

Course/Module aims:
To introduce to the students ideas and analysis tools from statistical theory, probability and statistical inference.

Learning outcomes - On successful completion of this module, students should be able to:
1.Describe distributions with numbers.
2.Display distributions with Graphs.
3.Outline the empirical reality that is portrayed from the data.
4.Describe relationships: scatterplots and Correlation.
5.Build probability models.
6.Calculate sampling distributions.
7.Estimate population parameters.
8.Perform inference from sample to population

Attendance requirements(%):

Teaching arrangement and method of instruction: 1.Lectures
2.Practice sessions.
3.Practice Questions

Course/Module Content:
A) Introduction to statistics
a. Measurement scales, presentation methods and distributions
b. Measures of central tendency and dispersion.
c. Standardized Scores, Percentiles and Percentile Ranks. Joint distribution: Scatter plot and correlation
B) Probability theory
a. Simple experiments. Sample space. Statistical events.
b. Probabilities of events and joint events.
c. Conditional probabilities. Independence of events. Sequences of events.
d. Bays formula
C) Inference statistics
a. Sampling Distribution. The Normal Distribution.
b. Statistical inference and Inference by confidence intervals.
c. Hypothesis testing.
d. Critical perspective on significance tests.
e. T tests
Distribution.
7.Joint distribution: Scatter plot and correlation.
Probability
8.Simple experiments.
9.Sample space.
10.Events.
11.Probabilities.
12.Conditional probabilities.
13.Independence of events.
14.Sequences of events.
15. Bernuili Trials
16.The Binomial Distribution.
17.The Distribution of a Random variable
18.Sampling Distribution.
19.Significance tests
20.Hypothesis testing
21.Confidence intervals

Required Reading:
-

Additional Reading Material:
Hays, W.L. (1981) statistics (4th ed) New-York: holt, Rinehart & Winston.

Grading Scheme :
Written / Oral / Practical Exam 80 %
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 20 %

Additional information:
The exam is 80% of the grade.
Submitting the weekly work is mandatory and will be 20% of the grade. The work grade will consist of all grades minus the 2 works with the lowest scores