Data Collection and Basic Statistics
Measure-phase statistics drills test data types, operational definitions, sampling, descriptive statistics, normality, graphical analysis, and baseline metrics.
How to study for Six Sigma Green Belt
Use DMAIC as the map: define the problem and customer need, measure the process, analyze causes, improve the system, and control the gains.
Core concepts
Concept 1
Data Collection and Basic Statistics questions reward the answer that follows the official source, the professional role, and the stated facts.
Exam cue: Identify the candidate role, client or public risk, source rule, calculation, or process step being tested.
Concept 2
The strongest answer identifies the rule, safety concern, ethical duty, calculation, client factor, or process step before acting.
Exam cue: Check whether the fact pattern is using a national standard, jurisdiction rule, handbook policy, or scenario-specific instruction.
Concept 3
Eliminate answers that ignore requirements, skip documentation, overreach the role, or treat convenience as the standard.
Exam cue: Choose the compliant and professionally scoped answer before the convenient or familiar answer.
Risk pitfalls and guardrails
Treating related standards as interchangeable without checking the source.
Guardrail: Avoid answers that rely only on habit, ignore the stated source, skip safety or compliance steps, or choose convenience over the professional standard.
Skipping screening, documentation, authorization, sanitation, recordkeeping, or other required procedure.
Guardrail: Avoid answers that rely only on habit, ignore the stated source, skip safety or compliance steps, or choose convenience over the professional standard.
Choosing an answer that protects convenience instead of client safety, public protection, or the stated professional duty.
Guardrail: Avoid answers that rely only on habit, ignore the stated source, skip safety or compliance steps, or choose convenience over the professional standard.
Memory anchors
Operational Definition
An operational definition tells exactly how a measure is observed, counted, or calculated.
Continuous Data
Continuous data can take measured values on a scale, such as time, length, or cost.
Attribute Data
Attribute data classifies counts or categories such as defect or no defect.
Sampling Plan
A sampling plan defines what, when, where, how, and how much data to collect.
Mean
The mean is the arithmetic average and can be influenced by outliers.
Median
The median is the middle value and can be more robust to outliers.
Standard Deviation
Standard deviation describes spread around the mean.
Histogram
A histogram shows distribution shape, center, and spread.
Box Plot
A box plot shows median, quartiles, spread, and potential outliers.
Baseline
A baseline captures current process performance before improvement.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
Cycle time measured in seconds is what type of data?
A defect category recorded as scratch, dent, or discoloration uses which measurement scale?
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
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