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Statistix
Was ist Statistix?
Statistix ist ein intuitives, einfaches Statistikprogramm, das von Forschern für Forscher entwickelt wurde. Statistix ist umfassend, aber nicht einschüchternd. Es bietet grundlegende und erweiterte Statistiken in einem kostengünstigen Paket.
Wer verwendet Statistix?
Forscher an Universitäten, in Regierungsbehörden und Unternehmen.
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Statistix
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Bewertungen über Statistix
Statistix for Statistics and Data Analysis
Kommentare: Most convenient and easy to use.
Vorteile:
The most important part of this software is to analyze results from numeric data. All the important features are included in this software. Survival analysis is most important for Biostatistician and medical science which makes it easier.
Nachteile:
Pricing is moderate. If possible then makes it eligible for all with minimum cost.
Statistix (which I've used for may years) is great for EXPLORATORY data analyses.
Kommentare: Please see my review.
Vorteile:
Statistix is my "go to" program for most initial analyses of experiment data. For me, its best features are easy access to graphical looks at the data and the "Omit, select, restore" command. I always tell students, "before you run any statistical analyses, GRAPH your data," and Statistix makes that really easy. Although I don't use Statistix to produce figures for publications, I'll often model my publication graphs on those quickly drawn with Statistix. I find "Omit/select/restore" incredibly useful for exploratory analyses because it allows me to partition data sets and focus analyses only on portions of them WITHOUT having to save a multitude of partitioned files under a large number of different file names. I also like the very clear menu layout, and the ability easily to run both parametric and non-parametric analyses, and to transform data. The selection of ANOVA designs is very good, as is the selection of post-hoc tests offered. Another feature that facilitates explorations of data by regression are tools such as "Best-subset linear regressions" that allow finding the independent variables that explain the most variance. The best experience that I've had with Statistix was using it to re-analyze a student's analysis of a complicated three-factor, blocked design that had been analyzed with "R." Statistix refused to run the analysis, giving the message that two treatments were aliased, which we hadn't realized (and "R" did not reveal).
Nachteile:
There is very little that I dislike about Statistix when using it for data exploration. The main thing is that sometimes I want to look at a quick graph to compare more groups than a particular graphic will allow (perhaps comparing many lines instead of a limited number), or using something like box-and-whisker plots for a two- or three-factor design without having to re-code them as if they were multiple levels of a single factor. Although I do not produce publication-quality graphs with Statistix, I do NOT WANT it to implement the large number of formatting options that would be needed for that purpose. I would be afraid that would overly complicate what now are exceptionally easy to use graphs that greatly favor rapid data exploration. The only time I couldn't use Statistix for a publishable analysis was when I had a two-factor, repeated-measures design with unequal sample sizes per treatment (because of plant mortality). My solution had been to randomly eliminate data so that all treatments had equal numbers of plants, and then to argue that the diminished replication made the analysis conservative. But reviewers wouldn't accept that argument, so I had to use some other statistical software that implemented restricted maximum likelihood methods (which Statistix did not) in order to accommodate my unbalanced data.
IT IS A SUITABLE PROGRAM
Kommentare: i have a good experience of the programm
Vorteile:
The transaction is very simply and you can get the information easly
Nachteile:
i compared it with the other and it was the best
I have been using Statistix for well over a decade and it keeps getting better.
Kommentare: Clear and well explained outcomes that aid in experimental interpretation but also in experimental design. More than just doing statistical tests it helps to explain the statistical processes - especially useful for research students.
Vorteile:
Versatility and ease of use for a variety of scientific applications. Nested breakdown summary of multivariate data. Handles complex analysis of variance with ease. Explanations are clear and helpful when approaching different types of analysis. It is easy to use but you do need to choose which test to run - it doesn't just publish a range of statistical test results for your data, for you to chose which one suits.
Nachteile:
The graphing capability has come on a long way in the latest version but is not publication quality.
Light weight, simple and effective
Kommentare: It's very easy to copy data from excel and get an immediate feedback on descriptive data and then run simple ANOVAs.
Vorteile:
I like that it does not take up a lot of room and is very powerful. It gives me a sense of what is going on with my data immediately and is simple enough to be explained to students quickly.
Nachteile:
The overall appearance on screen is a bit oldish looking and requires a bit of getting used to. There could be more icons etc., although that may slow down the whole analysis and make the software more "heavy".
