Quantum XL 2016 New Features
Auto-Fit: Choose to rank order best fit by Anderson Darling p-Value, AIC (Akaike Information Criteria), or BIC (Bayesian Information Criteria).
Speed Improvements: 10X improvement in time to fit.
Fit to Calculator: Distribution fitting leads to calculations. Enter LSL and/or USL and Quantum XL will calculate the area out of spec, dpm, and Cpk.
Non-Normal Cpk: Quantum XL will calculate the Cpk for all distributions it fits.
Probability Plots: All distributions now include a probability plot with confidence bounds.
Continuous Distributions: Normal, Uniform, Exponential, Gamma, Logistic, LogLogistic, LogNormal, Weibull, Beta, Laplace, Triangular, Cauchy, Rayleigh, and Gumbel.
Discrete Distributions: Bernoulli, Binomial, Negative Binomial, Geometric, Hypergeometric, Uniform Discrete, Poisson.
Transform a dataset to normality. Similar to the Box-Cox but more powerful.
Computer guided wizard to help you pick the best control chart for the problem.
Control Chart Outliers
Mark any point as an outlier; the point will still be plotted, but not included in the math for the control limits.
The ZMR chart is also called "Short Run" control chart when sufficient samples aren't available for the XbarR, XbarS, or IMR chart.
G-Chart and T-Chart (Rare Event Chart)
Rare event charts used when the count between times is less than 1.
MSA EnhancementsProbability of Misclassification - Joint and Conditional Probabilities (calculated from Bivariate normal distribution).
Extended Options - Substitute the calculated part-to-part standard deviation with the historical value.
Type 1 MSA - Evaluate repeatability and bias based on repeated measurements of the same part.
Minor EnhancementsRun Chart - Simple run chart plotting data vs. time.
Product Capability Report - Capability analysis on binomial data.
Fishbone Template/Diagram - Create a fishbone diagram from a template.
Summary Stats - Calculate summary statistics from one or multiple data sets.
One and Two Sample Poisson Rate Hypothesis Test - Test for difference in rates using Poisson distribution.