UNISTAT Version 10 is now available for download. UNISTAT 10 runs on 32-bit and 64-bit Windows 7, 8, 10, 11 and Server editions. UNISTAT add-in runs on Excel 1997-2013 and 32-bit and 64-bit Excel 2010-2019. Unistat 10 is fully compatible with Office 365 desktop. You can download the Standard Edition of Unistat as well as the Light Edition.

Browse UNISTAT's 1322 pp. User's Guide online and search for keywords. Download UNISTAT and experiment with over 200 published data sets provided. UNISTAT – the ultimate Excel statistics add-in

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UNISTAT is different, adding the power and accuracy of a full-featured statistical package to your existing analysis and visualization workflow. Using UNISTAT as Excel addin is easy. All you need to do is select a block of data and then select a procedure from the UNISTAT menus.

Unistats are equipped with the most up-to-date pump technology for optimal heat transfer. The pump self regulates to ensure the best possible circulation and flow and delicate glass reactors are protected from breakage by the pumps soft start-up feature.

Jul 4, 2014 · It is a program specialized for statistical data handling. Unistat2 is developed by Unistat Ltd. Read the full review of Unistat at http://unistat.software.i...

UNISTAT features one of the best graphics subsystems that can be found in any statistical package. UNISTAT supports full on-screen object editing of graphs. All text, legends, and the graph itself can be drag-dropped and resized and new text and shape objects added.

UNISTAT is a comprehensive statistical analysis software designed to support researchers and data analysts in performing a wide range of statistical analyses. This powerful platform offers a suite of tools for data management, hypothesis testing, and data visualization, enabling users to derive meaningful insights from their data.

UNISTAT Functions Conditional Functions Constants: DATA AND FUNCTION PLOTS 2D Plots ...

May 31, 2024 · Unistat Light, in its latest version 6.5.4, is a robust statistical software designed to manage and analyze various types of data including numeric values, dates, times, short and long strings, as well as handling missing and no-data codes.