A simple sample is used to get descriptive statistics (mean, standard deviations, intervals) for a process where no inputs are intentionally varied (no factors). This node can be used to analyze historical data from an existing sample, or to determine the appropriate sample size for future use.
There can be many responses in a simple sample. Separate descriptive statistics will be calculated for each response.
It is recommended that names and units of measure be entered for each response.
How many observations (runs containing one or more measured responses) are to be in the experiment. .
If the sample will come from multiple sources within the population, such as a set of production lines, assigning one block per line will remove the line to line differences from the calculations. This focuses the analysis on how the process operates within each line rather than across the entire population. If the line to line variation is of interest, then use a design that has one factor, such as general factorial, or one-factor response surface designs.