Overview
Description
Principles of statistics and application to the fields of social, life, and environmental sciences; and economics. Emphasis is given to computer applications. (Depending on the major, students must also achieve a satisfactory score on a placement examination to receive Core credit. This course will fulfill the Core Mathematics requirement for major programs that accept MATH 120.)
Requirements
Prerequisites
- ACT 27
- SAT 630
- Accuplacer QAS 276
- AAF 276
- ALEKS PPL of 61
MATH 126MATH 127MATH 128MATH 176MATH 181
Recommended Preparation
- Take a math placement test before registering if 10 or more years have passed since completion of the prerequisite coursework.
Original catalog text
Units
Lecture3
Laboratory Studio1
Catalog Details
Offering
Offered: Every Fall and Spring
Terms
fall, spring
Core
CO2
Attributes
Standard
Learning Outcomes
- engage in critical thinking to justify choice of statistics, legitimate data manipulations, data visualization and expressing verbal variables in algebraic terms; compute statistics using algebraic formulas and statistical software; identify results; design and create appropriate graphics and tables for descriptive statistics.
- work with algebraic formulas 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.
- provide a foundation (including interpreting a verbal description of a research problem into statistical terms); formulate hypotheses both algebraically and verbally; evaluate alternative candidate statistics (including the assumptions) and defend their choice. Statistics include difference-of-means test (“t-test”), difference-of-proportions test, regression, analysis of variance, chi-squared, and, where appropriate, non-parametric analogs.
- compute the statistical analyses chosen; identify relevant estimates in output from statistical software; design and produce appropriately labeled and clearly presented graphs and tables of statistical results; write correct summaries of and meaningful conclusions about statistical results, drawing both on hypothesis tests and on confidence intervals.