Statistix

I have been using Statistix for well over a decade and it keeps getting better.

Commentaires : 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.

Avantages :

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.

Inconvénients :

The graphing capability has come on a long way in the latest version but is not publication quality.

Statistix (which I've used for may years) is great for EXPLORATORY data analyses.

Commentaires : Please see my review.

Avantages :

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).

Inconvénients :

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.

Statistix for Statistics and Data Analysis

Commentaires : Most convenient and easy to use.

Avantages :

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.

Inconvénients :

Pricing is moderate. If possible then makes it eligible for all with minimum cost.

IT IS A SUITABLE PROGRAM

Commentaires : i have a good experience of the programm

Avantages :

The transaction is very simply and you can get the information easly

Inconvénients :

i compared it with the other and it was the best

Super easy to use, customer support quickly responds, has all statistics needed for biology work

Commentaires : It saves a lot of time because of how easy it is to get statistical analyses and accompanying graphs accomplished. The customer service is also quick to respond whenever I upgraded work computers and needed to re-download the program.

Avantages :

It is very easy to plot descriptive graphs almost right away with just a few clicks. to get a feel for the data. I especially enjoy that the output for statistics like One-way ANOVAs will also give you the results for tests of assumptions, like homogeneous variation in the data. It's got pretty much all of the statistical tests a biologist would need in just a few clicks (rather than sorting through a series of menus like in other programs). Overall, the ease of use makes this perfect for working with undergraduates in the lab and has me using the it as my main statistical program.