Statistical Analysis for Information Sciences
Course Composition and Objectives
- Theory: To educate you on the theoretical underpinnings of multiple statistical techniques
- Application in SPSS: To facilitate running analyses using a statistical tool
- Critical Thinking: To develop problem solving skills in determining what may be wrong with data
- Instructors Choice: Instructors may choose topics and learning objectives that meet the spirit of the course as defined here. Instructors may choose to devote more time to the learning objectives listed above or to add additional, complimentary objectives. Supplementary material and objectives should not overlap with the defined content of other courses in the curriculum.
Your student handbook describes this course as:
An “Intermediate-level statistics course emphasizing understanding hypothesis testing and experimental design, a broad array of statistical techniques applied to data analysis, and computer tools to support testing and analysis; specifically applied to information sciences and technology applications.”
In reality this course is a hybrid between traditional statistical theories and understanding data manipulation techniques. SRA is a diverse major. Many of our graduates have reported working with statistics in varying degrees. Some alumni have been directly responsible for analyzing and making sense of large volumes of data through running various statistical analyses, whereas others have mainly needed to be effective consumers of statistical information.