The Resource Pack can be downloaded for free by clicking on Download. To address Excel’s shortcomings, therefore, we have created the Real Statistics Resource Pack which contains various supplemental tools that enable you to carry out a wide range of advanced statistical analyses without leaving the Excel environment. This makes Excel an ideal tool for learning statistical concepts, although often it is easier to use the standard statistical tools for carrying out more advanced statistical analyses. It provides the user with a lot of control and flexibility.It is much easier to see what is going on since unlike the more popular statistical analysis tools very little is hidden from the user.It already contains some basic statistics functions and data analysis tools.It is not necessary to learn new methods of manipulating data and drawing graphs.It is not necessary to incur the cost of yet another tool.It is widely available and so many more people know how to use it.The reasons for choosing Excel are as follows: ![]() We have chosen instead to use Excel as our analysis tool, even though it offers far fewer built-in statistical tools. The most popular of these are SPSS, SAS and R. There are a number of commonly used, powerful tools for carrying out statistical analyses. Some of the theory behind these analyses (primarily in the Appendix).Step by step procedures for carrying out these tests and analyses using Excel. ![]()
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