Hypothesis Testing
Hypothesis testing drills cover null and alternative hypotheses, alpha, beta, p-values, confidence intervals, t tests, ANOVA, proportion tests, chi-square, and nonparametric choices.
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
Hypothesis Testing 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
Null Hypothesis
The null hypothesis usually states no difference, no effect, or status quo.
Alternative Hypothesis
The alternative states the suspected difference or effect.
Alpha
Alpha is the risk of rejecting a true null hypothesis.
Beta
Beta is the risk of failing to reject a false null hypothesis.
P-Value
A p-value estimates how extreme the data are if the null hypothesis is true.
Confidence Interval
A confidence interval gives a range of plausible parameter values.
T Test
A t test compares means when the design and assumptions fit.
ANOVA
ANOVA compares means across more than two groups.
Proportion Test
A proportion test fits attribute data measured as proportions or rates.
Chi-Square
Chi-square tests can evaluate count data, categories, or contingency tables.
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
A team tests whether a new method changes mean cycle time. Which null hypothesis is appropriate?
What is a Type I error?
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
What is Pass Harbor?
Completely free exam prep for 317 U.S. exams.
- Practice questions
- Flashcards
- Study guides
- Mock exams
- No registration
- No paywall
- Start instantly
“No more expensive exam prep. Quality study tools should be accessible to everyone.”