11/28/2023 0 Comments Basic data analysis in excel![]() ![]() It is possible to obtain various averages from a sequence of data which have different names ( 4). The statistics can be divided into two areas of application: The continuous characters, such as weights, heights and, more generally, the quantities that can be measured, can assume any real value in a given interval (although usually it takes finite decimal numbers). The discrete characters, such as the number of pupils in a class, or of goals scored in a football match, can only take on certain values, usually integers. The quantitative traits can be expressed numerically and are divided into discrete and continuous. On the other hand, there are quantitative variables, which can be measured on a discrete scale. A qualitative variable is not measured, but classified into categories based on the manner in which it is presented (smooth or wrinkled peas, green or yellow). The statistical variables can be qualitative, if they express an individual quality (i.e., color and shape of leaves and fruit). Characters can be qualitative or quantitative. The font is defined as the properties that are being surveyed. ![]() The purpose of the study was to provide the necessary statistical information in order to facilitate access to the vast potential of Microsoft Excel correctly. The software that use spreadsheets are fundamental in different scientific fields but require an understanding of basic mathematical concepts that regulate the operation. This makes it particularly easy to insert and/or modify data previously collected within certain sectors such as occurs in research studies. The spreadsheet arises from the need to modify, through a specific “software”, a certain amount of data with the ability to automatically update the results deriving from the analysis of these without reprogramming entire columns of calculation. The mathematical concepts presented in this discussion represent the basis of the statistical models used in platforms of spreadsheets. The first step of statistical work is the collection of data, which, if well organized, saves effort in subsequent operations and allows the correct setting for the analysis. The term “Statistics” was introduced in the seventeenth century with the meaning of “science of the state” ( 1), which aims to gather and sort information to the public administration regarding: size and composition of the population, migration, demographic changes, birth and mortality tables, data on businesses, crops, the distribution of wealth, education and health. In this sense, statistical analysis plays a central role. Individuals with a basic knowledge of Microsoft® Excel, who would like to learn more about Excel’s powerful capabilities for data collection, manipulation, problem-solving, and decision making.Ī “certificate of completion” from RIT’s Center for Quality and Applied Statistics is issued upon completing the program including all assigned exercises.The value of a scientific study is recognized by the community only if it is supported by numerical evidence that warrants the validity. We keep you actively engaged through online discussions with the instructor and other students. Learning materials include pre-recorded lectures, case studies, and exercises. The online instructor-led workshop covers the same material as the 3-day on-campus program but is available over a 10-day period through our online Learning Management System, providing flexibility to your schedule. Outside of class, participants are welcome to join online discussions with the instructor and other students. Exercises are conducted in our computer lab using Microsoft® Excel. Each topic is reinforced through discussion, case studies, and exercises. The on-campus workshop is offered over a 3-day period. The workshop will also demonstrate how to plan your data collection process so that meaningful information can be extracted with the minimum cost and effort, and how you can produce reports with defendable statistical analyses. All basic statistical techniques are explained as well as how to design spreadsheets that allow you to see the consequences of your statistical analyses and get immediate feedback. You will enhance your data analysis skills and learn how to interpret Excel output. Data is everywhere, but how should you organize it, visualize it, and utilize it to solve problems and make data-driven decisions? This hands-on workshop will show you how to use Microsoft® Excel for making sense of data.
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