Learn more statistics fundamentals. Find out how to perform ANOVA, regression, and correlation testing and run simulations in Microsoft Excel.
Data isnât valuable until you put it to good use. Statistics transforms data into meaningful information, enabling organizations to make better decisions and predictions. Thatâs why statisticsâcollecting, analyzing, and presenting dataâis a valuable skill for anyone in business or academia. This course, part two of a series, continues your training on the fundamentals of descriptive and inferential statistics. Dr. Joseph Schmuller teaches you how to use the tools in Microsoft Excelâstatistical functions, 3D maps and charts, the Ideas tool, and the Analysis Toolpak add-onâto carry out more sophisticated statistical analysis. First, learn to visualize sampling distributions. Next, test differences with analysis of variance (ANOVA). Then, find out how to use linear, multiple, and nonlinear regression to analyze relationships between variables and to make predictions. Joe also shows how to perform advanced correlations, test hypotheses about frequencies, and create and run simulations. Once you complete both courses, you should have the foundational knowledge to ace your next exam or interview and perform statistical analyses in the workplace.