MTH 119 - Statistical Analysis

Course unit(s): 1
Meets GAR: Meets general academic requirement RG.
Prerequisite(s): Recommended: 3 years of high school mathematics.
Our world is full of questions that can be explored through data. This course discusses the complexities of collecting data, how the data collection method influences the conclusions that can be made, and how to explore and analyze collected data. Statistical software (R/RStudio) is integral throughout the course in exploring data visually, numerically, and analytically (with confidence intervals and p-values). Emphasis is placed on clearly communicating statistical results. Topics include bootstrap distributions to understand confidence intervals, randomization distributions to understand p-values, t-tests, proportion tests, Chi-Square analysis, ANOVA, and simple linear regression.