CSSGB study plan

Define Six Sigma, lean, and the DMAIC/DMADV roadmaps in your own words and state when each is used

Differentiate the key roles (executive sponsor, champion, master black belt, black belt, green belt) and describe their accountabilities

Compute and interpret sigma level, DPMO, and rolled throughput yield from given process data

Explain how Six Sigma aligns to organizational strategy, including cost of poor quality categories and the balanced scorecard linkage

Draft a charter outline that converts a business case into a problem statement, goal statement, and scope boundaries

Translate a vague customer complaint into a measurable CTQ characteristic with operational definition

Construct a SIPOC diagram and identify process boundaries, inputs, and outputs for a chosen process

Distinguish VOC collection methods (surveys, interviews, focus groups, observation) and select the appropriate one for a scenario

Write SMART problem and goal statements and critique three flawed examples

Assemble a project team section including stakeholder analysis and a communication plan

Classify data as continuous, discrete, or attribute and choose the correct measurement scale for ten scenarios

Build and interpret Pareto charts, histograms, run charts, and stratified frequency plots

Calculate descriptive statistics (mean, median, mode, standard deviation, range, IQR) and explain how outliers shift each

Compute sigma level and process capability indices Cp and Cpk from given summary data

Design a data collection plan including sampling strategy, sample size rationale, and operational definitions for measurement

Interpret measurement system analysis output, distinguishing repeatability from reproducibility and judging acceptability against the 10%/30% rule

Perform and interpret a Gage R&R interpretation from a provided ANOVA table summary

Explain the difference between accuracy, precision, bias, linearity, and stability with an example of each

Identify the correct analysis tool family (graphical vs. hypothesis test) for a stated question about continuous or attribute data

State the null and alternative hypotheses, select the appropriate test, and set alpha for twelve written scenarios

Compute and interpret one-sample and two-sample t-tests, paired t-tests, and ANOVA results given summary statistics

Apply chi-square and proportion tests to attribute data and explain the meaning of the p-value in plain language

Construct and interpret simple linear regression output including R-squared, slope significance, and residual assessment

Distinguish correlation from causation and identify confounding in a described study

Complete root cause analysis using fishbone, 5 Whys, and fault tree techniques on a selected problem, verifying causes with data

Generate and prioritize solution ideas using brainstorming, benchmarking, and a weighted decision matrix

Apply lean tools including 5S, kaizen, poka-yoke, and standard work to a described process and predict the effect

Conduct a basic FMEA by assigning severity, occurrence, and detection ratings and computing risk priority numbers

Plan a pilot of a chosen solution including success criteria, sample size, and a rollback condition

Differentiate statistical process control from pre-control and from process capability studies

Select the correct control chart (X-bar and R, individuals and moving range, p, np, c, u) for eight stated scenarios and justify each choice

Compute control limits and distinguish special cause from common cause using the standard run rules

Design a control plan with the critical process parameters, specification limits, monitoring frequency, and reaction plan

Explain the elements of mistake-proofing, visual management, and a documented standard operating procedure for sustaining gains

Review every domain using a gap list built from prior quiz results and re-study only the weak areas

Re-derive the formulas most often tested (sigma level, DPMO, Cp and Cpk, control limits, RPN) from memory on a blank sheet

Explain the DMAIC flow end to end and state the key deliverable produced at the close of each phase

Complete a full-length timed practice exam and analyze errors by domain and by error type