Measure Phase
On average, there are currently 23 questions in the CSSGB exam from the “Measure” phase.
Effective August 2022, the number of exam questions from the “Measure” phase will decrease from 23 to 20.
The following are the sections within the “Measure” pillar of the GB exam, with the cognition level specified for each one.
A. Process analysis and documentation
Develop process maps and review written procedures, work instructions, and flowcharts to identify any gaps or areas of the process that are misaligned. (Create)
B. Probability and statistics
1. Basic probability concepts
Describe and interpret basic probability concepts: independent events, mutually exclusive events, multiplication rules, permutations, and combinations. (Understand)
2. Central limit theorem
Define the central limit theorem and describe its significance in relation to confidence intervals, hypothesis testing, and control charts. (Understand)
C. Statistical distributions
Define and describe various distributions as they apply to statistical process control and probability: normal, binomial, Poisson, chi square, Student’s t, and F. (Understand)
D. Collecting and summarizing data
1. Types of data and measurement scales
Identify and classify continuous (variables) and discrete (attributes) data. Describe and define nominal, ordinal, interval, and ratio measurement scales. (Analyze)
2. Sampling and data collection plans and methods
Define and apply various sampling methods (random and stratified) and data collection methods (check sheets and data coding). Prepare data collection plans that include gathering data and performing quality checks (e.g., minimum/maximum values, erroneous data, null values). (Apply)
3. Descriptive statistics
Define, calculate, and interpret measures of dispersion and central tendency. Develop and interpret frequency distributions and cumulative frequency distributions. (Evaluate)
4. Graphical methods
Construct and interpret diagrams and charts that are designed to communicate numerical analysis efficiently, including scatter diagrams, normal probability plots, histograms, stem-and-leaf plots, box-and-whisker plots. (Create)
E. Measurement system analysis (MSA)
Calculate, analyze, and interpret measurement system capability using gauge repeatability and reproducibility (GR&R) studies, measurement correlation, bias, linearity, percent agreement, and precision/tolerance (P/T). (Evaluate)
F. Process and performance capability
1. Process performance vs. process specifications
Define and distinguish between natural process limits and specification limits, and calculate process performance metrics. (Evaluate)
2. Process capability studies
Define, describe, and conduct process capability studies, including identifying characteristics, specifications, and tolerances, and verifying stability and normality. (Evaluate)
3. Process capability (Cp, Cpk) and process performance (Pp, Ppk) indices
Describe the relationship between these types of indices. Define, select, and calculate process capability and process performance. Describe when Cpm measures can be used. Calculate the sigma level of a process. (Evaluate)
4. Short-term vs. long-term capability and sigma shift
Describe the assumptions and conventions that are appropriate to use when only short-term data are used. Identify and calculate the sigma shift that occurs when long- and short-term data are compared. (Evaluate)