After the team has collected enough data, the next step would be to analyze the data, using tools to identify and verify the root cause(s) of the problem. Tools that will be discussed on the following pages include a cause & effect diagram, design of experiments, and Pareto chart. Numerous advanced statistical tools, such as ANOVA, chi-square, t-test, and Z-test, could be used during the "Analyze" phase. Commercial software (Minitab and SPSS) is also available. However, Six Sigma projects in clinical laboratories do not normally require complex statistical analysis techniques.
