ICBB study plan

Define Six Sigma and explain how it differs from prior quality approaches such as TQM and lean, in your own written words

Distinguish CTQ from CTC from CTP and map at least three voice-of-customer statements to each category

Calculate rolled throughput yield and DPU for a simple two-step process and interpret the gap between them

Classify each of the seven muda plus the classic seven wastes in a process you personally know

Compare the DMAIC roadmap against DMADV and select the correct one for three short scenarios

Identify the roles of Champion, Sponsor, Master Black Belt, Black Belt, Green Belt, and process owner in a governance chart

Build a SIPOC for a real process and validate it against a stakeholder

Draft a problem statement that passes the SMART and 'no cause, no solution' tests

Convert a vague business complaint into a measurable project charter with scope boundaries

Construct a data collection plan that specifies operational definitions, sampling method, and measurement frequency

Perform an MSA for a variable gauge and calculate repeatability and reproducibility components

Perform an attribute agreement analysis and report within-appraiser and between-appraiser agreement

Distinguish accuracy from precision and linearity from stability using plotted examples

Calculate process sigma level and Z-bench from DPMO for both short-term and long-term data

Build a Pareto chart from a defect dataset and state the vital few in one sentence

Construct and interpret run charts and control charts to separate common from special cause variation

Calculate Cp, Cpk, Pp, and Ppk for a dataset and explain why the pairs differ

Describe process capability in a written summary that a non-technical sponsor could act on

Select the correct baseline metric for a project and justify the choice

Formulate a hypothesis test for a means comparison and state the null and alternative correctly

Run and interpret a two-sample t-test, a paired t-test, and a one-way ANOVA on sample data

Check normality and equal-variance assumptions and choose an appropriate alternative when violated

Compute and interpret correlation coefficients and fit a simple linear regression with residual checks

Distinguish statistical significance from practical significance using confidence intervals

Build a cause-and-effect diagram and a C&E matrix to prioritize at least six candidate causes

Perform a multi-vari or FMEA to narrow root cause candidates and score risk priority numbers

Verify a root cause with data rather than opinion and document the evidence chain

Use hypothesis test results to confirm or reject the suspected root cause

Select the appropriate lean or DOE tool for a given improvement scenario

Design a 2-level factorial experiment with at least three factors and define response, factors, levels, and replicates

Analyze main effects and interactions from factorial output and state which factors matter

Apply 5S, poka-yoke, and standard work concepts to a chosen process and predict the effect

Run a pilot of a proposed solution and compare before-and-after performance with a hypothesis test

Quantify improvement in sigma level and financial terms

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

Create an SPC chart with control limits and document the out-of-control rules applied

Standardize the improved process with updated work instructions and a mistake-proofing check

Calculate the control phase benefit and hand off ownership to the process owner with a signed closure

Write a lessons-learned and replication plan identifying where else the solution applies