Descriptive Statistics (including Box plots and scattergrams)

Descriptive Statistics (including Box plots and scattergrams) is part of:
  • Pro Core statistical software

  • System configuration

    • Windows:
      • Versions: 9x/Me/NT/2000/XP/Vista/Win 7
      • Excel: 97 and later
      • Processor: 32 or 64 bits
      • Hard disk: 150 Mb
    • Mac OS X:
      • OS: OS X
      • Excel: X, 2004 and 2011
      • Hard disk: 150Mb.

Benefits

  • Easy and user-friendly
    Easy and user-friendly XLSTAT is flawlessly integrated with Microsoft Excel which is the most popular spreadsheet worldwide. This integration makes it one of the simplest available tools to work with as it utilizes the same philosophy as Microsoft Excel. The program is accessible in a dedicated XLSTAT tab. The analyses are grouped into functional menus. The dialog boxes are user-friendly and setting up an analysis is straightforward.
  • Data and results shared seamlessly
    Data and results shared seamlessly One of the greatest advantages of XLSTAT is the way you can share data and results seamlessly. As the results are stored in Microsoft Excel, anyone can access them. There is no need for the receiver to have an XLSTAT license or any additional viewer which makes your team-work easier and more affordable. In addition, results are easily integrable into other Microsoft Office software such as PowerPoint, so that you can create striking presentation in minutes.
  • Modular
    Modular XLSTAT is a modular product. XLSTAT-Pro is a core statistical module of XLSTAT which includes all the mainstream functionalities in statistics and multivariate analysis. More advanced features contained in add-on modules can be added for specific applications. This way you can adapt the software to your needs making the software more cost-efficient.
  • Didactic
    Didactic The results of XLSTAT are organized by analysis and are easy to navigate. Moreover useful information is provided along with the results to assist you in your interpretation.
  • Affordable
    Affordable XLSTAT is a complete and modular analytical solution that can suit any analytical business needs. It is very reasonably priced so that the return of your investment is almost immediate. Any XLSTAT license comes with top level support and assistance.
  • Accessible - Available in many languages
    Accessible - Available in many languages We have ensured XLSTAT is accessible to everyone by making the program available in many languages, including Chinese, English, French, German, Italian, Japanese, Polish, Portuguese and Spanish.
  • Automatable and customizable
    Automatable and customizable Most of the statistical functions available in XLSTAT can be called directly from the Visual Basic window of Microsoft Excel. They can be modified and integrated to more code to fit to the specificity of your domain. Adding tables and plots as well as modifying existing outputs becomes easy. Furthermore, XLSTAT includes some special tools on the dialog boxes to generate automatically the VBA code in order to reproduce your analysis using the VBA editor or to simply load pre-set settings. This effortless automation of routine analysis will be a huge time saver on your part.

A description of the sampling as well as an estimation of some statistics for the population is always useful to understand the distribution of the samples.

Available descriptive statistics in XLSTAT

XLSTAT provides the following statistics:

Quantitative data  
  • No. of values used
  • No. of values ignored
  • No. of min./max. value
  • % of min./max. value
  • Minimum/Maximum
  • 1st quartile
  • Median
  • 3rd quartile
  • Range: difference between the maximum and the minimum,
  • Sum of the weights (if any)
  • Total
  • Mean
  • Geometric mean
  • Harmonic mean
  • Kurtosis (Pearson), Skewness (Pearson)
  • Kurtosis, Skewness
  • CV (standard deviation/mean) 
  • Sample variance
  • Estimated variance
  • Standard deviation of a sample
  • Estimated standard deviation
  • Mean absolute deviation
  • Standard deviation of the mean

Qualitative data

Summary for the variables:
Statistics table for each category
  • No. of categories
  • Mode
  • Mode frequency
  • Mode weight
  • % mode
  • Relative frequency of the mode
  • Frequency
  • Weight of the category
  • %: percentage of the category
  • Relative frequency of the category

Also some plots are very helpful to visualize the distribution.

Charts created for quantitative variables Charts created for categorical variables
  • Box plots,
  • Scattergrams,
  • Strip plots,
  • Q-Q plots,
  • p-p plots,
  • Stem and leaf plots.
  • Bar charts
  • Pie charts
  • Double pie charts
  • Doughnuts
  • Stacked bars
  • Multiple bars

Tutorials

Screenshots