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Blaze is a small but highly useful statistical app for researchers, managers, analysts and students. That is to say, it isn't an everything-but-the-kitchen-sink kind of app. Instead, it's focused on those simple but very common tasks such as creating histograms, generating descriptive statistics and hypothesis testing.
Since our last beta, we have made a lot of improvements. The user interface has been completely revamped and we have added support for Mann Whitney U Tests, ANOVA, Chi Square Goodness of Fit and Chi Square Test of Independence.
This is our second Beta release, so we're getting closer to releasing the product for real. However, we are really keen to get feedback from the community on how we're doing so far. We're writing to you to invite you to download the Beta (it's totally free and we don't require registration, your email address or anything like that).
You can download the Beta here: www.blazestatistics.com
We'd love to hear from you. Please let us know what you think of Blaze; the good bits and the bad. You can contact us at info@blazestatistics.com
The Blaze Team, www.blazestatistics.com/
T Test and Mann Whitney U Test
Determining whether two sets of data are significantly different is an extremely powerful and frequently used statistical test.
The most common test is the T Test. There are a few different types of T Test and Blaze supports them all.
In addition, for those times when your data doesn't meet the requirements of the T Test, Blaze enables you to perform a Mann Whitney U Test.
With Blaze, all of these tests are very easy to do and the results are presented in a understandable way.