Interval & Box plot

This menu shows a Control Chart of all the customers in an Interval & Box plot graphic.
This option is only available with an extended license.

It is possible to select more than one method, which makes it possible to compare different methods.

A box plot is a graph that indicates the spread of the values in a data set. Box plots are a standardized way of representing the distribution of data based on five important numbers: a minimum boundary, the first quartile (Q1), the median (or second quartile Q2), the third quartile (Q3), and a maximum boundary.

Got go menu: Analyze Chart -> Interval & Box plot. Select a batch, a strain and one or more methods and choose -> Continue.
Got go menu: Analyze Chart -> Interval & Box plot. Select a batch, a strain and one or more methods and choose -> Continue.

Interval & Box plot diplay

Example of an Interval and Box plot
Example of an Interval and Box plot

Item on the Interval & Box plot display

A mouse hover appears with all relevant information if the mouse pointer is held above a box plot or Interval Plot.

In the chart settings panel, the graphic display of the Box plot can be changed; selections take place directly in the graph.

  • Biosisto – Display the Biosisto Charts for the selected Batch, Strain, and Method(s)
  • Customer Locations – Display the plots of Company locations (only visible with a Company license)
  • World – Display the plots of all locations (only visible with a World license)

The following figures are displayed in the Interval & Box plot chart:

Interval plot

  • Average
  • 95% CI* Lower bound
  • 95% CI* Upper bound

There is no statistical difference between the groups if the intervals overlap.
CI* = Confidence interval

Box plot

  • Box stripe is Median
  • Box high is 1st quartile
  • Box low is 3rd quartile
  • The line through Box shows the minimum and maximum counts

You will find relevant information on each method in the lowest panel. Such as used Methods, RSD, and CI’s.


Biosisto - Quality in Control

Microbiological laboratories should be able to receive reliable analysis without much overhead. A microbiological analyst must be able to focus on the primary activities, for example analysis of the sample material. Quality control should support the analyst in a logical and simple manner. By using modern information technology, process control and quality assurance are designed smarter and more effective.

Biosisto b.v.
Martin Luther Kingweg 3
9403 PA Assen, The Netherlands