30111 Introduction to Statistics for Students of Social Sciences I 1

Credits: 3 introductory credits in Social Sciences - General

Prerequisites: none 2

Authors: Shmuel Zamir, Ruth Beyth-Marom, Stanley Barkan

The course introduces basic concepts of probability and methods for describing data. Though the course is equivalent in content to Introduction to Statistics and Probability for Science Students (30203), the mathematical concepts required are taught here more gradually and simply. This course is a prerequisite to Introduction to Statistics for Students of Social Sciences II (30112).

Topics: Descriptive statistics – histograms, mean, median, frequency, standard deviation, normal distribution, relationship parameters; the use of statistics; the nature of the statisticians work. Probability – sampling, probability, events, conditional probability, random and binomial variables, expected value and variance of random variables.

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1There is overlap in the content of this course and Introduction to Statistics and Probability for Science Students (30203). This overlap has implications on the total number of credits granted for taking both courses. For details, see Overlapping Courses.

2To successfully complete this course, students need at least 3-point level knowledge of Mathematics. Students who do not have this background are advised to take the Mathematics Refresher Workshop for Social Science Students (95001) before taking this course.