General

• What categories of graphs are available?
  
• Are there different customization options for each type of graph?
  
• Can graphs be automatically updated when the data file changes?
  
• In what formats can I save graphs?
  
• What is the Windows metafile graphics format?
  
• What is the bitmap graphics format?
  
• What is the JPEG graphics format?
  
• What is the PNG (Portable Network Graphics) format?
  
• What is the native Statistica graphics format?
  
• How do I export a Statistica graph to another application?
  
• What is the difference between a graph and a plot?
  Each plot represents a single "series" of data. All but the simplest graphs in STATISTICA contain more than one plot of data.
• What are categorized graphs?
  Categorized graphs are created by categorizing data into subsets and then displaying each of these subsets in a separate small component graph arranged in one display. For example, one graph can represent male subjects and another one female subjects, or high blood pressure females, low blood pressure females, high blood pressure males, etc.
• How do I define categories in categorized graphs?
  
• How do I produce ternary contour plots and surfaces?
  
• How do I produce graphs with polar coordinates?
  
• What are multiple axes in graphs?
  An arrangement of axes (coordinate scales) in graphs, where two or more axes are placed parallel to each other in order to either:
• How is the mouse used in graph applications?
  In addition to the standard Windows mouse conventions for selecting objects, the mouse can be used in many more specialized applications in the graphics window in STATISTICA. The following is a list of representative examples:
• How do I select objects in a graph?
  To select an object in a graph, simply click on the object with your mouse. Once an object has been selected, press the TAB key to navigate from object to object within your graph.
• How can I interpret a 100(1-alpha)% confidence interval?
  We often refer to a confidence level as the probability that a specific parameter will be contained in a given interval. For example, when we fit a 95% confidence interval to a fitted line, we say there is a 95% probability that the "true" fitted line (in the population) falls between the interval. As Hahn & Meeker point out in their book on statistical intervals (Wiley Series in Probability and Mathematical Statistics, 1991), this definition is common, but not entirely precise:

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