Includes confidence interval estimation; tests of significance including z-tests, t-tests, ANOVA, and chi-square; and inference for linear regression. Investigates applications from science, business, and social science perspectives. Graphing calculator with advanced statistical programs and/or computer software required; see instructor.

This is the second term of a two-term sequence (MTH 243 and MTH 244). This course is intended to provide an introduction to statistics in a data-based setting.

Upon successful completion, students should be able to:

- Critically analyze the data from observational studies, surveys, and experiments, and using appropriate statistical methods and technology, judge if the results are reasonable, and then interpret and clearly communicate the results.
- Interpret studies in scholarly and scientific publications and make sense of statistical information provided by the media.
- Understand and be able to communicate the underlying mathematics involved to help another person gain insight into probability and statistics concepts encountered in real world situations.
- Reason from data and use standard mathematical terminology, notation, and symbolic processes in order to engage in work, study, and other applications that require the use of and an understanding of the concepts of statistics in a data-based setting.

Equivalent placement test scores also accepted.

This course fulfills the following GE requirements: Science, Math, Computer Science/AAS, Science, Math, Computer Science/AGS, Science, Math, Computer Science/AAOT, Science, Math, Computer Science/AS, Science, Math, Computer Science/ASOT-B.