MATH 100 Elements of Data Literacy

Data literacy as the ability to read, write and communicate data in context. In this course, students will have an opportunity to develop these skills through individual projects and group discussions with their peers and the instructor. In addition, students will learn a variety of foundational technical skills required for the successful completion of a statistics course. (NE)

Credits

2

Prerequisite

Math 98 or Placement Test

Outcomes

1. construct dotplots;
2. describe features of dotplots and histograms, including an informal discussion of measures of center and spread;
3. describe features of scatterplots, including an informal discussion of correlation;
4. develop proficiency with percentages;
5. interpret the scaling of an axis;
6. describe features of a linear trend;
7. formulate a testable hypothesis about a given dataset;
8. use foundational aspects of spreadsheet software;