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Nov 25, 2024
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SOC 706 - Intermediate Statistics I (3 units)
Theory and application of statistical inference with special emphasis on probability, parametric and nonparametric techniques including simple and complex analysis of variance, multiple comparison techniques and trend analysis. (PSY 706 and SOC 706 are cross-listed; credit may be earned in one of the two.)
Prerequisite(s): PSY 210 .
Units of Lecture: 3
Offered: Every Spring
Student Learning Outcomes:
Upon completion of this course:
1. Students will be able to organize data, identify and distinguish case/units from variables, justify choice of statistics, compute statistics, identify results, design and create peer-review journal quality graphics/visualizations and tables for descriptive statistics, report and interpret descriptive statistics orally and in writing at a graduate level.
2. Students will be able to make basic probability calculations, identify and generate classic probability distributions; compare sample data to the normal distribution, evaluate the degree of similarity and defend that evaluation.
3. Students will be able to provide a foundation (including interpreting a verbal description of a research problem into statistical terms); formulate hypotheses; recognize and critique hypotheses in journal articles; evaluate alternative candidate statistics with respect to their precision, their robustness, and their compliance with assumptions, especially concerning distributions of residuals. Distinguish serious and trivial consequences of assumption violation. Defend their choice. Statistics include 1-sample Z tests, difference-of-means tests (“t-test”, both independent and paired), difference-of-proportions test, regression, analysis of variance, chi-squared, and, where appropriate, non-parametric analogs. Begin developing strategies for instances where disciplinary tradition conflicts with good statistical practice.
4. Students will be able to compute the statistical analyses chosen in SLO 3; identify relevant estimates in output of a statistical package; identify implications of the results for the hypotheses; design and create peer-review-journal-quality graphics and tables; estimate and interpret the magnitudes of associations using both point estimates and confidence intervals; report results orally and in writing at the graduate level.
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