

ASQ
CSSBB Six Sigma Black Belt Certification 

PROCESS
IMPROVEMENT AND SIX SIGMA 

Welcome
to MiC Quality Online Learning 

Glen
Netherwood
MiC Quality 


Six
Sigma Black Belt ASQ SSBB Body of Knowledge 
ASQ SSBB exam contains questions
from many topics. These are listed in the Body of
Knowledge reproduced below. This version of BOK
includes links to Six
Sigma Glossary. 

[SIX
SIGMA GLOSSARY INDEX OF TOPICS] 
VI. SIX SIGMA IMPROVEMENT
METHODOLOGY AND TOOLS  ANALYZE (23 questions) 
A. Exploratory Data Analysis
 Multivari
studies
Use multivari studies to interpret the difference
between positional, cyclical and temporal variation;
design sampling plans to investigate the largest
sources of variation; create and interpret multivari
charts. (Application)
 Measuring and modeling relationships between
variables
a. Simple and multiple least squares
linear regression
Calculate the regression
equation; apply and interpret hypothesis
tests for regression statistics;
use the regression model for estimation and
prediction, and analyze the uncertainty in the
estimate. (Models that have nonlinear parameters
will not be tested). (Evaluation)
b. Simple linear correlation
Calculate and interpret the correlation
coefficient and its confidence
interval; apply and interpret a
hypothesis test for the correlation coefficient;
understand the difference between correlation
and causation. (Serial correlation will not
be tested). (Evaluation)
c. Diagnostics
Analyze residuals
of the model. (Analysis)
B. Hypothesis Testing
 Fundamental concepts of hypothesis
testing
a. Statistical
vs. practical significance
Define, compare and contrast
statistical and practical significance.
(Evaluation)
b. Significance
level, power,
type
I and type
II errors
Apply and interpret the
significance level, power,
type
I and type
II errors of statistical tests.
(Evaluation)
c.
Sample size
Understand how to calculate
sample size for any given hypothesis
test. (Application)
 Point and interval estimation
Define and interpret the efficiency and bias
of estimators; compute, interpret and draw conclusions
from statistics such as standard
error, tolerance intervals and
confidence
intervals; understand the distinction
between confidence
intervals and prediction
intervals. (Analysis)
 Test for means, variances and proportions
Apply hypothesis
tests for means, variances
and proportions,
and interpret the results. (Evaluation)
 Pairedcomparison
tests
Define, determine applicability and apply pairedcomparison
parametric hypothesis tests, and
interpret the results. (Evaluation)
 Goodnessoffit tests
Define, determine applicability and apply chisquare
tests and interpret the results.
(Evaluation)
 Analysis
of Variance (ANOVA)
Define, determine applicability and apply ANOVAs
and interpret the results. (Evaluation)
 Contingency
tables
Define, determine applicability, and construct
a contingency
table and use it to determine statistical
significance. (Evaluation)
 Nonparametric
Tests
Define, determined applicability and construct
various nonparametric
tests including Mood's
Median, Levene's
test,
KruskalWallis, Mann
Whitney, etc. (Analysis)






Supporting
process improvement, quality control, quality assurance, quality
management, six sigma training and ASQ certification (CQE, SSBB,
SSGB) 

