Analyse-it Software, Ltd. - Software Products

Building on the indu...

Analyse-it! Standard Edition

Building on the industry-standard spreadsheet, Analyse-it extends Excel with statistics and charts for visualising, describing and testing hypotheses on your data. The ease-of-use of Analyse-it, combined with the power of Excel, makes a formidable statistics package. With the easy-to-read help and Getting Started tutorials you''ll be using Analyse-it on your own data in under 10 minutes. That''s probably why Analyse-it is used in almost every industry imaginable and on so many university courses. - Describe samples, distributions, correlations and relationships - Visualise relationships, distributions, & differences with new Excel charts - Test difference, change, correlation, agreement or prediction hypotheses - Integrated into Microsoft Excel 97, 2000, 2002, 2003 & 2007 - Accurate, reliable statistics, not built on Excel functions - Ready-to-print publication quality reports - Jargon-free statistical reference, help, & tutorials - A proven product over the last 10 years

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Analyse-It for Excel...

Analyse-it for Microsoft Excel

Analyse-It for Excel: General Statistics brings statistical analysis to Microsoft Excel 95, 97, 2000 and XP, with 14 parametric and 17 nonparametric procedures for descriptive statistics, testing normality, comparing groups, correlation, and regression. Analyse-It loads with Excel, analyses data straight from your worksheets, and presents the results in Excel as publication-quality reports, complete with charts, that are ready to print or save. Step-by-step tutorials are included to help you quickly get started, complete with online reference help explaining the purpose of each test, when it can be used, and what it tells you. Highlights include box-whisker plots, Shapiro Wilk, t-tests, Wilcoxon, Mann-Whitney, ANOVA with contrasts, Chi-Square, Linear regression, and many more. Advanced features include confidence intervals for almost all statistics, 1- and 2-sided hypothesis testing, exact p-values for small sample sizes, corrections for ties, and more.

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