Overview
Description
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.
Requirements
Prerequisites
PSY 210
Original catalog text
Prerequisites
Prerequisite(s): PSY 210.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Attributes
Standard
Learning Outcomes
- 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
- 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.
- 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 p
- 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 inte