a plot of the average measurement values for each combination of the part and X variables. The Average Chart helps you detect product variation despite measurement variation. In an Average Chart, out of control data is desirable because it detects part-to-part variation. See Average Chart.
(only appears if you selected Range as the Chart Dispersion Type in the launch window) a plot of the variability statistic for each combination of the part and X variables. The Range Chart helps you check for consistency within subgroups. In a Range Chart, data within limits is desirable, indicating homogeneity in your error. See Range Chart or Standard Deviation Chart.
(only appears if you selected Standard Deviation as the Chart Dispersion Type in the launch window) a plot of the standard deviation statistic for each combination of the part and X variables. The Standard Deviation Chart helps you check for consistency within subgroups. In a Standard Deviation Chart, data within limits is desirable, indicating homogeneity in your error. See Range Chart or Standard Deviation Chart.
an Analysis of Means chart for testing if the X variables have different averages. See Bias Comparison.
draws the overall mean of the Y variable on the chart.
Note: If you selected EMP as the MSA Method and Range as the Chart Dispersion Type, and you have a one factor or a two factor, balanced, crossed model, the statistics in this report are based on ranges. Otherwise, the statistics in this report are based on variances.
Intraclass Correlation (no bias) does not take bias or interaction factors into account when calculating the results.
Intraclass Correlation (with bias) takes the bias factors (such as operator, instrument, and so on) into account when calculating the results.
Intraclass Correlation (with bias and interaction) takes the bias and interaction factors into account when calculating the results. This calculation appears only if the model is crossed and uses standard deviation instead of range.
Monitor Classification Legend
The Shift Detection Profiler shows you the probability that a control chart monitoring the process mean signals a warning over the next k subgroups once the mean shifts by a given amount. If the subgroup size equals one, the control chart is an Individual Measurement chart. If the subgroup size exceeds one, the control chart is an X-bar chart. The process sigma and the false alarm probability are included below the charts. You can also change the process sigma value.
Related Information 
The Bias Comparison option creates an Analysis of Means chart. This chart shows the mean values for each level of the grouping variables and compares them with the overall mean. You can use this chart to see whether an operator is measuring parts too high or too low, on average.
select an option from the most common alpha levels or specify any level using the Other selection. Changing the alpha level modifies the upper and lower decision limits.
Show Decision Limits draws lines representing the Upper Decision Limit (UDL) and the Lower Decision Limit (LDL) and defines those values.
Show Decision Limit Shading adds shading between the UDL and the LDL.
Show Center Line draws the center line statistic that represents the average.
Point Options changes the chart display to needles, connected points, or points.
The Test-Retest Error Comparison option creates a type of Analysis of Means for Variances or Analysis of Means Ranges chart. This chart shows if there are differences in the test-retest error between operators. For example, you can use this chart to see whether there is an inconsistency in how each operator is measuring. The Analysis of Mean Ranges chart displays when ranges are used for variance components.