Wer nutzt diese Software?

Forscher an Universitäten, in Regierungsbehörden und Unternehmen.

Durchschnittliche Bewertung

53 Bewertungen
  • Gesamt 4.5 / 5
  • Benutzerfreundlichkeit 4.5 / 5
  • Kundenservice 4.5 / 5
  • Funktionen 4 / 5
  • Preis-Leistungs-Verhältnis 4.5 / 5

Produktdetails

  • Startpreis 395,00 $/einmalig
  • Kostenlose Version Nein
  • Kostenlose Testversion Ja
  • Einsatz Installiert - Windows
  • Training Nicht erhältlich
  • Kundenbetreuung Support während der Geschäftszeiten

Angaben zum Hersteller

  • Analytical Software
  • http://www.statistix.com
  • Gegründet 1985

Über 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.

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Statistix Funktionen

  • Compliance-Verfolgung
  • Dateispeicherung
  • Erkennung von Zusammenhängen
  • Multivariate Statistik
  • Prognose
  • Regressionsanalyse
  • Statistische Prozess-Kontrolle
  • Statistische Simulation
  • Zeitreihen
  • Überlebensanalyse

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Die hilfreichsten Reviews für Statistix

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

Bewertet am 11.12.2017
Dave J.
Professor of Biology
Hochschulbildung
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
5 / 5
Kundenbetreuung
4 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

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.

Intuitive, fast, easy to use, high-value statistical analysis software

Bewertet am 10.12.2017
Dale P.
Veterinarian, Epidemiologist
Tierarzt, 10.001+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
5 / 5
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: It enables me to do most of the analyses I need to do on data sets very quickly and efficiently. It is also very useful for quick visualizations of data, and for quick power analysis when planning studies.

Vorteile: Statistix is my statistical analysis software of choice for most applications.
It is very easy to use with a nice intuitive GUI interface and a logical clean menu structure.
The platform is very very fast.
It has an excellent breadth and depth of analytics tools for a wide variety of applications.
The cost is very reasonable.

Nachteile: There is very little if anything to actually dislike, but there are a number of things that would be great to see built into the Statistix platform. For example...
I'd like to see an even richer (broader and deeper) set of graphics and visualization tools and output, including 3D/4D/5D scatter-plots, and more editable, interactive and higher resolution charts - including the feature of cursor hovering underlying summary data display, zoom in/out on x-axis values, histograms integrated with scatter plots and frequency count graphics integrated into time-series charts.
Drag-and-drop functionality to manage data, as well as to build and change the output charts and tables would be very useful.
I would like to see a multi-proportions test for 3 or more proportions with full pairwise comparisons.
I would like to see capabilities built in to support monte-carlo / stochastic modeling, as well as bootstrapping.
I would like to see a deeper, broader power analysis set of tools.
I would like to see a broader and deeper set of Lean and SixSigma features and tools.
I would like to see a feature set that enables automated, real-time API connectivity with other digital platforms/data sources along with automated analytics run from a user pre-determined set of methods, input values and output formats delivered to a user pre-determined alert and notification list.
There are more things on the "want-list", but these are some things higher on that list.

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