The Dana Center Mathematics Pathways (DCMP) Introductory Statistics: Analyzing Data with Purpose (ISAP) course is a college-level introductory statistics course organized around broad statistical concepts and intended to serve students pursuing careers in business, allied health, nursing, and the social and behavioral sciences.

This introductory statistics course is grounded in data, with engaging contexts bringing meaning to the work. Students are asked to learn from data and communicate with data, with a focus on the investigative process that leads to data-based conclusions. In this course, statistical thinking is viewed as an investigative process that leads to data-based conclusions. This type of statistical thinking promotes student success in future courses, helps students gain skills for the workplace, and prepares them to become well-informed, engaged citizens.

This course develops essential conceptual understanding by supporting students in:

• Learning good practice in study design
• Presentation and interpretation of univariate data using both graphical and numerical methods
• Probability
• Discrete and continuous probability distributions
• Linear regression
• Statistical inference
• Confidence intervals
• Hypothesis testing
• Inference for regression
• Analysis of variance

This Dana Center course is available inside of Lumen Learning’s Online Homework Manager (aka OHM). OHM offers seamless LMS integration, technical support, and the robust features and functionality math faculty rely on to better support their students and gain actionable student performance analytics.