Prerequisite(s): MATH 111 with a grade of C- or higher or placement through the Montclair State University Placement Test (MSUPT) or MATH 122 with a grade of C- or higher or AMAT 120 with a grade of C- or higher. Introduction to the general methodology of statistical data science in the context of the purpose, planning, analysis, and conclusions associated with a variety of field-specific research studies. Topics include Exploratory Data Analysis (EDA), summary measures, the normal distribution, linear regression, correlation, sampling distributions, statistical estimation and inference including the t test and Chi-square test. Understanding data is the primary focus of this course with emphasis on statistical techniques for gathering, analyzing, summarizing and communicating the results of these analyses. Statistical software is used. Equivalent course STAT 401 effective through Spring 2020. Satisfies SEEDS Quantitative Reasoning student learning outcome in alignment with Educated Citizenry value.