Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at. This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Use sample information to make inferences about the population with a certain level of confidence about the accuracy of the estimations.Understand why normal distribution can be used in a wide range of settings.Understand the significance of proper sampling and why one can rely on sample information.Summarize large data sets in graphical, tabular, and numerical forms.The course will focus not only on explaining these concepts, but also understanding and interpreting the results obtained. This will be accomplished through the use of Excel and data sets from different disciplines, allowing you to see the use of statistics in a range of settings. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. Specifically, you will learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals. The data can be arranged into columns or rows. This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. 2 Introduction to Excel 2016 with Data Analysis Toolpak: Common Procedures Open an Analysis Tool Dialog Box Open an existing data file or enter data into a worksheet.

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