EDS 8823 Representation and Analysis of Quantitative Data

This course focuses on: (1) describing and summarizing data; (2) creating and interpreting standard scores, and; (3) using inferential statistics to make decisions. Students will be introduced to these quantitative procedures using the SPSS software. The skills developed in this course are a prerequisite to understanding educational research.

Registration Name

Rep & Analysis of Quant Data

Lecture Hours

3

Lab Hours

0

Credits

3

Offered

TBA

Student Learning Outcomes

Upon the completion of this course, students will be able to:

1. Explain how levels of measurement connects to which hypothesis test we conduct.
2. Evaluate the appropriate fit between data and the statistical analysis approach.
3. Describe characteristics of quantitative data using appropriate statistical tools like central tendency and measures of dispersion.
4. Apply key probability principles in hypothesis testing.
5. Build useful quantitative summaries for outside audiences.