Familiarity with basic statistical concepts such as t-tests and regression is recommended but not necessary. Prerequisites: Completion of "Excel Data and Graphics" short course or equivalent practice and experience with Excel. Use the Data Analysis ToolPak for single and multi-predictor linear regression.Use the Data Analysis ToolPak to calculate a p-value for correlation.
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Learn how to make a correlation matrix or correlation calculation.Create a bar chart of means for comparison including error bars.Use the Data Analysis Toolpak to calculate an independent samples t-test.Use the Data Analysis ToolPak to calculate a paired samples t-test.The specific topics covered in this course include: paired and independent samples t-tests and supporting graphics, correlation, and linear regression.Īfter completing this course, participants should be able to: We discuss and practice applying these methods on real datasets using the Data Analysis Toolpak in Microsoft Excel. This hands-on course will introduce participants to common inferential statistical analyses. Use the Data Analysis ToolPak to calculate descriptive statistics and correlations.Use the Data Analysis ToolPak to create charts of data.Create tables and charts using Pivot Table.Use ‘if’ and ‘vlookup’ functions for summarizing data.Name cells and cell ranges for functions.Create new tables and charts and edit properties.
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The functionality of previous versions of Excel (2010 for Mac and prior) is not the same and you will not be able to follow along without the latest version.Īfter completing this course, a new user should be able to: If you wish to follow along on a Mac computer you must have Excel version 2016. The computers in the lab are PCs as well.
Note: I will primarily be working from a PC and using the built in package the Data Analysis ToolPak. It will cover topics such as using sorting and organizing data using filters, naming cells and cell ranges as a shortcut for functions, ‘if’ functions, matching data using built in functions, pivot tables and charts, editing charts and tables, and using built in features such for basic statistical analysis. This course is intended to introduce new users to Microsoft Excel as a tool for managing, summarizing, and visualizing data, as well as conducting basic statistical analysis. She has taught SDS 328M Biostatistics for the department since 2015. She has a Master's Degree and PhD in Educational Psychology from the University of Texas at Austin. Instructor: Lauren Blondeau is an assistant professor of instruction in the Department of Statistics and Data Sciences. To access the same training online, visit the Office for Mac website. * Seating for each class is limited to 40 students. The Office for Mac 2011 training downloads include Portable Document Format (.pdf) and PowerPoint (.pptx) versions of all Office 2011 tutorials and videos, so you can customize them for group training or view them on your desktop. * Excel Short Courses are for current UT faculty, staff, and students.
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