Emphasis on applied statistics. Included are topics related to data collection (random sampling and experimental design), organizing and describing data (histograms, mean, standard deviation, correlation, and least squares regression), probability theory (finite probability and the normal distribution), and inferential statistics (confidence intervals and tests of significance). I Mathematics

An applied statistics course that uses basic statistical methodologies to explore data and answer research questions. Summarization, analysis and interpretation of data from the social sciences and other related areas. Topics include frequency distributions, graphical summaries, elementary probability, estimation, testing hypotheses, and correlation and regression. Emphasis upon applications using appropriate technology, as opposed to theoretical development of topics.