Most of you know where to find the help and examples provided with Analyse-it, but if not, today we’d like to explain what’s available. If you're stuck we're always happy to help, and usually respond within a few hours, but it's always faster for you to check if the help answers your question first.
If you’re new to Analyse-it, or want a quick refresher, the best place to start is the Getting Started tutorial. It’s completely automated, no typing is required, so all you have to do is sit back and watch. In just 10 minutes it will demonstrate how to setup a dataset, how to filter the dataset, how to run a statistical test, and how to edit, refresh, and print the reports.
To watch the tutorial:
The application help provided with Analyse-it is a complete reference covering all aspects of Analyse-it: how to install Analyse-it, start it, layout datasets, manage reports, and how to use the statistical tests. You can either browse the contents to learn about Analyse-it, or use the index or search to quickly find the right topic. Index and search were only recently added to the help, in Analyse-it 2.10, so if you’re not using the latest version download it now.
To open the help:
Most questions arise when using a statistical test -- what are the assumptions for this test, how do I use the test, and how do I interpret the statistics? Help topics for every statistical test in Analyse-it are included, explaining what the test does, what the assumptions are, common tasks using the test, and references to further reading on how the test implemented and the statistics calculated.
To get help for the test you’re using:
Sometimes it’s easier to learn from an example -- actually seeing how it's done is easier than reading about it. If you’re stuck and want to see an example dataset and report that you can then use as a template, take a look at the examples. We’ve included sample datasets and reports for almost every statistical test in Analyse-it.
To access the examples:
In future we plan to blog about how to use specific features and statistical tests in Analyse-it. Your comments on these topics will help us ensure we concentrate our time and efforts on problem areas. Post a comment now and tell us what you think of the help and, more importantly, where we can improve it.
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