Analyse-it! Standard Edition 2.20

Analyse-it! Standard Edition 2.20 is a useful tool which is designed to help users much when working with tatistics and charts from Excel files.

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. Thats probably why Analyse-it is used in almost every industry imaginable and on so many university courses.

Major Features:

1. Work within the familiar Excel environment
   • Explore, visualise and test sample distribution
   • Analyse-it provides extensive descriptive statistics and insightful charts for exploring samples. Statistics include the mean, median & standard deviation, all with confidence intervals, plus many non-parametric measures such as quartiles & percentiles.
   • box-whisker plots, mean-plots, percentile and standard deviation plots let you see how observations are distributed and spot outliers. A frequency histogram, with optional normal curve overlay, provides an alternative view of the sample distribution . Histogram bins can be determined automatically by Analyse-it or you can enter your preferred bins.
2. Verify pre-test assumptions of normality
   • Tests and charts are included for verifying a sample is normally distributed -- a necessary step when using parametric statistics. Hypothesis tests are included so you can formally test normality, or you can use the normal quantile plot and frequency histogram (with normal overlay) to make a visual assessment.
3. Find changes & differences between groups and samples
   • Parametric procedures including the t-test and ANOVA, with post-hoc comparisons, are provided so you can test whether groups/samples change due to a factor or over time. For non-normal and categorical data non-parametric procedures are provided, including Mann-Whitney, Kruskal-Wallis, Fisher exact, and Chi-Square.
   • Side-by-side dot-plots, box-whisker plots, & mean-plots, let you visually compare samples. Interaction plots, with connected means, let you easily see whether samples or groups differ or change.
4. Identify trends and relationships to make predictions
   • For bivariate data, Analyse-it lets you explore potential trends with Pearson, Spearman, and Kendall correlation, and compare categorical ratings with Chi-square & Kappa.
   • Where definite trends exist, the variables predicting the response can be identified with multiple linear regression and polynomial regression. Goodness of fit statistics and residual plots tell you how well the chosen variables predict the response. The equation to predict future observations is also shown.
5. Publication-quality print-ready reports
   • Analyse-it's perfectly formatted reports mean you can print the analysis immediately, without wasting time tidying them up for presentation. You can also copy-paste charts and statistics directly into your own documents and presentations. Chart look is based on the most popular formats used in published research, so charts are immediately ready for inclusion into research papers.
6. Save, exchange and update your analyses
   • Once analysed, your Analyse-it analyses can be saved in a standard Excel workbook, published to your intranet, or e-mailed to colleagues. Colleagues with Excel can open and print workbooks containing Analyse-it analyses, without needing Analyse-it. At any time you, or colleagues with Analyse-it, can update the analysis reports, repeating the analysis to reflect changes or additions to the source data.
7. Full support and help along the way

 Requirements:

• Processor: 512 MHz or faster
• Memory: 256 MB RAM or more
• Hard disk: 20 MB of available disk space
• Display: 800x600 or higher resolution
• Microsoft Excel 97, 2000, 2002, 2003, or 2007
• Windows 98, 2000, XP (any edition), 2003 Server & Vista (any edition), 2008 Server.