Our world is saturated with information generated through statistical analysis. We are bombarded with facts and figures from all areas of society. Learning how statistics are generated and what the data mean is important for everyone, from quantitative researchers to consumers. This course is an introduction to statistical analysis. Students learn the underlying theory of statistics and the mechanics of hypothesis testing, z-tests and t-tests, ANOVA, linear regression, and other methods. They learn how to execute these statistical functions and use data from existing sources to develop their ability to engage with and critique statistical data. The class examines data from various sources, from political think tanks, polls compiled by media outlets, and data from scholarly articles. Students develop an understanding of how statistics are used on a daily basis to regulate and guide our decisions. This course satisfies application requirements for graduate school in psychology and other social sciences.