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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

Statistix

4,6 (58)
495,00 $
einmalig
Kostenlose Version
Kostenlose Testversion
9
Keine Integrationen gefunden
4,6 (58)
4,7 (58)
4,3 (58)
VS.
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Funktionen
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1.250,00 $
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Kostenlose Version
Kostenlose Testversion
108
25
4,1 (50)
4,3 (50)
4,5 (50)
Die grünen Bewertungsbalken geben an, welches Produkt gemessen an der Durchschnittsbewertung und der Zahl der Bewertungen am besten abschneidet.

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Bewertungen über Statistix

Durchschnittliche Bewertung

Gesamt
4,6
Benutzerfreundlichkeit
4,6
Kundenservice
4,3
Funktionen
4,2
Preis-Leistungs-Verhältnis
4,7

Nutzerbewertungen nach Unternehmensgröße (Angestellte)

  • <50
  • 51-200
  • 201-1.000
  • >1.001

Bewertungen nach Punktzahl finden

5
66%
4
33%
1
2%
Mossabber
Mossabber
Guest Teacher in Bangladesch
Verifizierter Nutzer auf LinkedIn
Bildungsmanagement, 11–50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Statistix for Statistics and Data Analysis

5,0 vor 2 Jahren

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.

Dave
Professor of Biology in USA
Verifizierter Nutzer auf LinkedIn
Hochschulbildung
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

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

5,0 vor 7 Jahren

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.

mohamed
accountant in Ägypten
Buchhaltung, 2–10 Mitarbeiter
Verwendete die Software für: Kostenlose Testversion
Herkunft der Bewertung

IT IS A SUITABLE PROGRAM

1,0 vor 6 Jahren

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

Dr. John
Adjunct Professor in Kanada
Forschung, 2–10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

We have used SX for many years and find it an excellent statistical database and software.

5,0 vor 7 Jahren

Kommentare: It permits analysis of data that is very user-friendly and well documented and statistical procedures that satisfy most of the primary needs of fisheries scientists.

Vorteile:

This is an excellent analytical software, and I highly recommend it. It is very user-friendly and well supported with help menus and explanations of the statistical analysis offered. Our biologists, technicians, undergraduate and graduate students have used the software and have found that it provides 80% of the analyses normally used in fisheries science. Customer support has been excellent; however, we continue to use versions 8 and 9 because we have found some issues with certain utilities in 10. As a research scientist and adjunct professor, I am very pleased to have the capabilities provided in the software, use it regularly in data analysis. My graduate students use it for 90% of their graduate-work analysis, which has been published throughout the primary literature. We routinely reference the use of the software in our scientific manuscripts and papers.

Nachteile:

Wish it had more utilities associated with more advanced statistical analysis. The software is highly capable, and I recommend it routinely to my undergraduate and graduate students. In a recent version (9 and 10), we found a utility lacking that was in the former versions. We contacted Customer Support, and they very quickly prepared a patch. So although there were some issues, they were dealt with immediately and appropriately. We do not use version 10 and would like to do so because it has many updated features that aren't as user-friendly as in versions 8 and 9, We have seen that some plots in version 9 do not present all the values; one value appears to be dropped, usually the lowest. This is a very minor problem, and given the tremendous capabilities of the software, we have not concerned ourselves with this minor problem. I have virtually no reservations in recommending this software to my colleagues, students, and graduate students.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Hochschulbildung, 501–1.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

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

5,0 vor 7 Jahren

Kommentare: 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.

Vorteile:

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.

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