# 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.

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.