The First Part of The Course Introduces Basic Concepts Of Probability Theory# Basic Rules of Probability, Combinatory, Conditional Probability, Discrete and Continuous Random Variables and The Central Limit Theorem. The Second Part Focuses On Statistical Inference and Includes Descriptive Statistics, Sampling Distribution, Point Estimation, Confidence Intervals, Hypothesis Testing, Goodness of Fit Tests, Tests of Independence, and Simple Linear Regression.

Faculty: Data and Decision Sciences
|Undergraduate Studies

Pre-required courses

104004 - Differential and Integral Calculus 2 or 104013 - Differential and Integral Calculus 2t or 104022 - Differential and Integral Calculus 2m


Course with no extra credit

14003 - Statistics 94424 - Statistics 1 94480 - מבוא להסתברות וסטטיסטיקה 104034 - Introduction to Probability H 104222 - Probability Theory


Course with no extra credit (contained)

34058 - Probability and Statistics For Mech.eng.


Course with no extra credit (contains)

46010 - Statistical Inference 94411 - Probability (ie) 94412 - Probability (advanced) 94417 - הסתברות א' 94423 - Introduction to Statistics 334023 - Int. to Statistics For Biomedical Eng.


Semestrial Information