介绍描述和推理统计旨在给统计技术和应用的社会科学的理解. 主题包括:集中趋势的度量, dispersion and position; correlation and regression; probability and probability distributions, including binomial and normal; parameter estimation and hypothesis testing; two-sample analysis; chi-square test of independence; one-way analysis of variance. 学生批判性地分析数据, 承认局限性，比如观点和偏见, 并发展出合理的论点来形成结论. 将使用统计软件. 本课程面向但不限于社会科学专业的学生. 已完成MTH 160或MTH 161课程的学生可能不会获得本课程的额外学分.

先决条件

MTH 096 with a grade of B- or better; or any of the following with a grade of C or better: MTH 104, m 140, m 141, m 152, MTH 165 (or higher); or MCC Level 7 mathematics placement.