Statistical Analysis

Statistics help condense and present data in a manner understandable by everybody, and are an integral part of any research project. Snap Survey Software includes a range of statistical tools to help you understand your data and make the right decisions, including:

  • Factor analysis – Categorize data into recognizable themes.
  • Cluster analysis – Identify ‘clusters’ in the data that have unique and identifiable characteristics.
  • Z test – Compare two percentage scores to see if the difference is statistically significant.
  • T test – Compare the means of two groups to see if the difference is statistically significant.
  • U test – Compare median scores of axis-defined groups to see if the difference is statistically significant.
  • Gap analysis – Compare results and identify priorities for improvement.
Statistical analysis

Descriptive Statistics

A range of Descriptive Statistics is also available, including:

  • Mean, Mode, and Median.
  • Quartiles.
  • Minimum, Maximum and Range.
  • Standard Deviation, Variance and Standard Error.
  • Skewness and Kurtosis.