Control Chart Analysis/Analysis of Means
HITS™-CCA/ANOM

Statistical process control is often equated with the concept of control charting. SPC encompasses much more than control charting, but the proper use of control charts can play a major role in any quality improvement effort. Because there are so many different types of control charts, each with their own proponents, control charts can be confusing. To reduce the confusion, our Control Chart Analysis software provides you with a statistically sound, yet easy to use and interpret package.

Control Chart Analysis uses the industry-proven effective Western Electric Rules for detecting shifts on X-MR Control Charts. Shifts can be detected away from the process average or target as well as from the previous shift. This shift-away feature is unique to CCA©. In addition to the X-chart analysis CCA/ANOM© will simultaneously perform a Moving Range Chart Analysis to determine if process control is improving or getting worse.

Non-normally distributed data are often encountered in the real world and CCA/ANOM© can handle those as easily as other packages handle normal data. CCA/ANOM© provides data transformations for normalizing data and can automatically generate asymmetric control limits for skewed distributions.

Probability plots are an important tool in determining whether or not a distribution is normal and CCA/ANOM© completely automates this tool. Other tests for finding unusual patterns in the data, such as runs and trends, are quickly and efficiently accomplished.

Process indices show how well a process is performing relative to specifications or how well it could perform. Using CCA/ANOM©, you can quickly calculate the Process Performance Index and Process Capability Index for both normal and non-normal distributions.

C-charts are available for use in situations where processes are sampled and count data are being studied.

Designed for non-statisticians, CCA/ANOM© makes the powerful tool of control charting easy to use for anyone. The Windows format means that you do not need to learn any special commands or format specifications. Results are presented in clear and concise terms with a minimum of statistical terminology.

Features of Control Chart Analysis/Analysis of Means
HITS™-CCA/ANOM

Features
Operating System Requirements
     • Windows 95, Windows 98, or Windows NT
Data Files
     • Tab delimited files or cells copied and pasted from a spreadsheet format
Data Manipulation
     • Can accept a missing data code
     • Can transform data without altering the data file
Summary Statistics
     • Mean, median, maximum, minimum, standard deviation
Moving Range Statistics
     • Average moving range, Spcl
Starting Point Options
     • Choice of Starting Point includes Average, Median, Zero, First Point or a Custom Value
Analysis Options
     • Shows both upper and lower control limits
     • Allows user to specify process target and process control standard deviation
Process Indices
     • Process Performance Index (PPI), Process Capability Index (PCI)
     • For normal or non-normal data
     • One or two process specs
Partitioning of Variation
     • Separates variation into long-term, short-term and test variation
     • Determines if Stotal and Spcl are significantly different
Runs and Skew Analysis
     • Length of Runs
     • Number of Runs
     • Trends (Runs Up and Down)
     • Range-Square-Ratio Test
Graphics
     • Initial Data Plots about Median or Average
     • Normal Probability Plots
     • Control Charts
     • MR Charts
Control Chart Analysis
     • X-MR Charts for Normal and Non-normal distributions
     • Uses the industry-proven Western Electric Rules for detecting shifts
     • Identifies shifts away from the process average or target
     • Determines when process average shifts from the previous process average
     • User can override control limits
     • C-Charts
Analysis of Means
     • Analyzes any number of groups greater than or equal to two
     • Analyzes equal or unequal numbers of observations per group
     • Calculates standard deviation for time ordered and non-time ordered data
     • Calculates the Halperin test statistic for 10 percent level of significance
     • Summarizes decision limits and averages in a graphical display

Harold S Haller & Company
31004 Nantucket Row, Cleveland, OH 44140-1050
Phone: (440) 871-6597; Fax: (440) 871-1889
E-mail: Hshaller@aol.com