CSSC Green Belt study plan

Draft a one-page project charter for a self-chosen practice process, including problem statement, goal statement, scope boundaries, and business case.

Translate three vague customer complaints into measurable CTQ characteristics with stated units and tolerances.

Construct a SIPOC diagram for the same process and flag the two highest-risk inputs.

Distinguish correction from corrective action using two examples from a familiar workplace process.

Build a data collection plan stating what is measured, how, by whom, and at what frequency.

Classify 20 practice variables as continuous or discrete and as nominal, ordinal, interval, or ratio.

Write operational definitions precise enough that two people collecting independently would produce identical data.

Have a second person interpret your operational definitions and revise every ambiguous one.

Explain the components of a measurement system analysis (bias, linearity, stability, repeatability, reproducibility).

Interpret a Gage R&R output by separating equipment variation from appraiser variation and judging acceptability against the 10%/30% guideline.

Compute Cp, Cpk, Pp, and Ppk from a sample dataset and state what each index reveals.

Convert a capability figure or DPMO value into a sigma level.

Select an appropriate sampling strategy (random, stratified, systematic) for three scenarios and defend each choice.

Determine minimum sample size for a stated confidence level and margin of error.

Document baseline sigma level and record why the measurement system is fit for the project data.

Sit a timed 30-question mock on Domains 1-2 and review every missed item to its source concept.

Build a decision tree mapping a data scenario to the correct hypothesis test.

Write null and alternative hypotheses for five business questions and identify the Type I and Type II error in each.

Interpret p-values and confidence intervals correctly, stating what they do and do not prove.

Run a one-sample t, a two-sample t, and a paired t test on practice data and state each conclusion in plain business language.

Apply ANOVA and simple regression to practice data and interpret slope, R-squared, and residual patterns.

Verify a suspected root cause with data rather than opinion and record the evidence chain.

Conduct an FMEA on the chosen process and rank failure modes by risk priority.

Generate candidate solutions, score them against impact and effort, and select one for piloting.

Design a pilot with explicit success criteria, sample size, duration, and a rollback condition.

Plan a structured trial or DOE specifying factors, levels, response variable, and blocking.

Apply mistake-proofing and standard-work principles to the chosen solution.

Draft an implementation and communication plan assigning owners and dates.

Build a control plan naming the metric, chart type, sampling frequency, owner, and reaction plan.

Select the correct control chart (Xbar-R, I-MR, p, u, c) for four different data scenarios.

Distinguish common from special cause variation on sample charts and write the out-of-control response steps.

Standardize the improvement in documentation and define the handoff to the process owner.

Sit a full-length timed mock across all five domains and log recurring weak points.