AUSTA - Augustana Faculty - Statistics
Offered By:
Augustana Faculty
Below are the courses available from the AUSTA code. Select a course to view the available classes, additional class notes, and class times.
Introduction to elementary statistical concepts designed to provide an understanding of how statistics can be used to analyze real world phenomena. Emphasis is on applications in the field of business and economics. The student is required to use spreadsheet and other statistical software to analyze and examine statistical data. Prerequisite: Mathematics 30-1 or 30-2. Notes: The course does not count toward the major in Mathematics and Physics or the minor in Mathematics. Credit may be obtained for only one of AUSTA 153, 213, 215 or AUPSY 213 (2020).
Frequency distributions, averages, dispersion, simple linear regression and correlation, elementary probability, binomial and normal distributions, sampling distributions, confidence intervals, significance tests on means and variances, chi square tests for two way tables, introduction to the analysis of variance. Labs include projects in which a student collects and analyzes real data. Prerequisite: Mathematics 30-1 or 30-2. Notes: The course does not count toward the major in Mathematics and Physics or the minor in Mathematics. Credit may be obtained for only one of AUSTA 153, 213, 215, AUPSY 213 (2020).
Experimental design, data presentation and analysis; descriptive statistics, probability distributions and statistical hypothesis testing; parametric and nonparametric tests, correlation and regression; use of statistical software. Prerequisites: Mathematics 30-1 or 30-2; one of AUBIO 111, AUCHE 110, AUCSC 111 (2021), 113, AUENV 120, AUGEO 120, AUMAT 110, 116, 120, AUPHY 102 (2021), 104 (2021), 110 (2021), 120. Notes: The course does not count toward the major in Mathematics and Physics or the minor in Mathematics. Credit may be obtained for only one of AUSTA 153, 213, 215, AUPSY 213 (2020).
Students will learn to apply their existing knowledge of quantitative research design. Topics include choosing appropriate tests, setting up a dataset for analysis, and interpreting the results of the analysis. The course will also examine successful written, visual, and oral presentation of results. Prerequisites: AUSTA 153.
In this course, students will continue to build upon their existing knowledge of quantitative research design and data analysis. Some topics include: The role of theory in psychological research, an introduction to qualitative methods and analysis, literature reviews and advanced quantitative design. Prerequisites: AUSTA 217. Note: Credit may be obtained for only one of AUPSY 313 (2021) and AUSTA 313.