APMG LSS Green Belt study plan

Define Lean Six Sigma and distinguish Lean waste reduction from Six Sigma variation reduction

Identify the five phases of DMAIC and state the purpose and key outputs of each

Classify the eight Lean wastes (TIMWOOD) in three workplace or service examples you know

Draft a problem statement and goal statement that pass the SMART and 'no solution baked in' tests

Construct a SIPOC diagram for the charter process with at least five process steps

Distinguish VOC from CTQ and translate two customer needs into measurable CTQs

Select team roles (sponsor, champion, black belt, green belt, process owner) and justify each

Map the charter's stakeholders and rate their influence and interest

Distinguish discrete from continuous data and select the correct measurement scale for three given metrics

Explain accuracy versus precision and identify how each is compromised in a described measurement system

Build a data collection plan naming what, where, when, who, and how for each metric in your charter

Calculate basic descriptive statistics (mean, median, mode, range, standard deviation) from a small dataset

Compute process capability indices (Cp, Cpk, Pp, Ppk) and state what each reveals about centring versus spread

Interpret a histogram and a run chart to describe shape, centring, and time-based patterns

Explain the purpose of an MSA and when attribute agreement analysis is used

Calculate rolled throughput yield and sigma level for a simple multi-step process

Build a cause-and-effect diagram and a 5-why chain that reach verifiable root causes rather than symptoms

Construct a Pareto chart and apply the 80/20 rule to prioritise causes

Select the appropriate hypothesis test (t-test, chi-square, ANOVA, or correlation) for four described scenarios and justify each choice

Distinguish correlation from causation and identify confounders in a described dataset

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

Explain Type I and Type II error and relate them to alpha, beta, and sample size

Apply FMEA by scoring severity, occurrence, and detection and computing RPN for five failure modes

Use a scatter plot and regression output to describe the strength and direction of a relationship

Generate improvement options using brainstorming, benchmarking, and mistake-proofing

Select and justify solutions using an impact/effort matrix and a weighted decision matrix

Apply 5S, poka-yoke, and standard work to a described process and predict the effect on the key metric

Plan a pilot with defined success criteria, sample size, and a before/after comparison method

Design a control plan naming metrics, owners, frequency, and response actions

Select and construct the correct control chart (X-bar and R, p, c, or individuals) for a described data type

Explain how to set and respond to control limits and distinguish common from special cause variation

Document standard work and a response plan so the gain is sustained and handed to the process owner

Assemble a full DMAIC storyboard linking charter, baseline, analysis, improvement, and control