Upon successful completion of this learning experience, students will be able to: explain the usefulness of obtaining and analyzing data for making decisions and advancing knowledge; interpret the results of data collection and critique the quality of studies based upon issues of data collection; describe the prevalence of statistics in the advancement of knowledge and will be able to intelligently learn about reports about studies that involve statistical issues; apply basic data analytical techniques to uncover patterns and truths within data sets, and will understand the primary importance of data visualization; recognize that statistical inference is only meaningful within the context of a study; explain each step within a study, such as deciding how to collect data, clean data, build appropriate models, and assess and evaluate statistical models, in determining what conclusions can be drawn; apply the basic techniques of statistical inference to data, to interpret the results of a statistical analysis using the concepts of confidence intervals or tests of significance, and to assess when particular inferential procedures are appropriate; and communicate the results of statistical analyses or quantitative findings.