|
HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Business Administration
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Dr. Assaf Sarig
Coordinator Office Hours:
Teaching Staff:
Dr. Assaf Sarig
Course/Module description:
Thorough study of issues and concepts in statistics and probabilty. Focusing on statistical inference.
Course/Module aims:
To extend the knowledge in probability and statistics. To enable the students to recognize and to use the statistical tools' to understand and to critically investigate statistical data from all kind of media.
Learning outcomes - On successful completion of this module, students should be able to:
To explain statistical data . To evaluate quantitative information. To make statistical conclusions from data. To educatedly deal with uncertainty situations.
Attendance requirements(%):
80%
Teaching arrangement and method of instruction:
lectures
Course/Module Content:
Relearning basic concepts in probability. Random variables, 2D random variable. The normal distribution and its uses, central limit theorem. Statistical inference - basic concepts, estimation, statstical tests, alpha, beta, p-value.
Chi-Square test for independence, spearman's rank correlation test.
Pearson correlation coefficient, and simple linear regression. Multiple linear regression.
testing of the difference between expected values in independent and dependent samples.
Wilcocson test and Mann-Whithney test.
ANOVA one and two way factor, aparametric tests.
Chi-Square test for independence. Chi-Square test goodness of fit test.
Hypothesis testing on the variance on one sample and on 2 samples.
Required Reading:
None
Additional Reading Material:
non relevant
Grading Scheme :
Written Exam % 90
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 10 %
Additional information:
Handing in at least 75% of the weekly exercises.
The grade in the exma must be at least 60 in order that the exercises will be calculated in the final grade.
pre-requisite: Course 55797
|
