Quality Control Charts

  • X and MR Chart for Variables, SixGraph Summary
    Creates an X (individual observations) and MR (moving range) chart for each variable in the input descriptor continuous dependent Variable list. You can set the center line for the X-bar chart and sigma; also computes SixGraph summary and short-run charts. Short-run charts can also be computed; if a categorical variable is specified in the input descriptor, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • X-Bar and R or S Chart for Variables, SixGraph summary
    Creates an X-bar and R or S quality control chart for each variable in the input descriptor continuous dependent Variable list. You can set the center line for the X-bar chart and sigma; also computes SixGraph summary and short-run charts. If no categorical variable is specified, the program will compute samples from a (user-defined) fixed number of consecutive observations. Short-run charts can also be computed; if a second categorical predictor variable is specified in the input descriptor, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • MA X-Bar and R or S Chart for Variables
    Creates a moving average (MA) and R or S quality control chart for each variable in the input descriptor continuous dependent Variable list. You can set the center line for the MA X-bar chart and sigma; also computes SixGraph summary and short-run charts. If no categorical variable is specified, the program will compute samples from a (user-defined) fixed number of consecutive observations. Short-run charts can also be computed; if a second categorical predictor variable is specified in the input descriptor, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • EWMA X-Bar and R or S Chart for Variables
    Creates an exponentially weighted moving average (EWMA) and R or S quality control chart for each variable in the input descriptor continuous dependent Variable list. You can set the center line for the EWMA chart and sigma; also computes SixGraph summary and short-run charts.

 If no categorical variable is specified, the program will compute samples from a (user-defined) fixed number of consecutive observations. Short-run charts can also be computed; if a second categorical predictor variable is specified in the input descriptor, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • Attribute Charts (C, U, Np, p)
    Creates an attribute chart (C, U, Np, or P) for each variable (or pair of variables) in the input descriptor continuous dependent Variable list. You can set the center line for the chart as well as control limits. Optionally, the list of continuous dependent variables can be divided into consecutive pairs of variables, where every second variable in each pair is used as the sample size variable (e.g., the variable containing the overall N in the sample). Short-run charts can also be computed. If a categorical (predictor) variable is specified, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • CuSum Chart for Observations
    Creates a CuSum chart for individual observations and MR (moving range) chart for each variable in the input descriptor continuous dependent Variable list. You can set the center line for the CuSum chart and sigma; uses the tabular algorithm for establishing control limits. Short-run charts can also be computed; if a categorical variable is specified in the input descriptor, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • Pareto Chart
    Performs Pareto chart analysis. Input data can be codes only (categorical dependent variables), counts only (continuous dependent variables), or codes and counts (continuous dependent variables by first categorical predictor). The respective type of chart is determined automatically by Statistica.
  • Multiple Stream Process (MSP) X-Bar and R or S Group Control Chart (GCC)
    Creates an X-bar and R or S group control chart for variables in the input descriptor continuous dependent Variable list. You can set the center line for the X-bar chart and sigma; also computes short-run multiple stream charts. If no categorical variable is specified, the program will compute samples from a (user-defined) fixed number of consecutive observations. Short-run charts can also be computed; if a second categorical predictor variable is specified in the input descriptor, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • Multiple Stream Process (MSP) X and MR Chart for Variables
    Creates a Multiple Stream Process (MSP) X (individual observations) and MR (moving range) chart for each variable in the input descriptor continuous dependent Variable list. You can set the center line for the X-bar chart and sigma; also computes SixGraph summary and short-run charts. Short-run charts can also be computed; if a categorical variable is specified in the input descriptor, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • Multiple Stream Process (MSP) Attribute Charts (C, U, Np, p)
    Creates an attribute chart (C, U, Np, or P) for each variable (or pair of variables) in the input descriptor continuous dependent Variable list. You can set the center line for the chart as well as control limits. Optionally, the list of continuous dependent variables can be divided into consecutive pairs of variables, where every second variable in each pair is used as the sample size variable (e.g., the variable containing the overall N in the sample). Short-run charts can also be computed. If a categorical (predictor) variable is specified, then that variable will be used to assign samples to parts; otherwise always k (as specified by the user) consecutive samples will be assigned to consecutive parts.
  • Hotelling T-Square Control Chart (HTS)
    Creates Hotelling T-Square Control Charts