About Introductory Statistics
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.
Statistics differs from mathematics in several ways. Statistics is inherently a data-based discipline that requires students to recognize variability in data and to take it into account to make decisions in a way that acknowledges and quantifies uncertainty. 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.
Throughout this course, students construct and test hypotheses, solve problems, reflect on their work, and make connections between concepts.
Students will use the DCMP Data Analysis Tools to facilitate data analysis and exploration, and to support the development of understanding important concepts such as sampling variability.
Key Concepts of this Course
- Linear regression
- Statistical inference
- Hypothesis testing
- Probability
Learn More About this Course
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. Explore this course further: